Total 29 Manager data entry clerk job vacancies in D23 Hillview, Dairy Farm, Bukit Panjang, Choa Chu Kang

Responsibilities Of The Role

• Directly contributes to the design and development of scaled Data Science algorithms.
• Applies technical knowledge to massive datasets with exploratory data analysis, feature engineering, and model building to deliver accurate and impactful algorithms.
• Quantifies improvement in business areas resulting from u algorithms. Works with Data and Software Engineering teams to productionize algorithms
• Responsible for building advanced analytic (ML/AI/Optimization) algorithms within a Data Science program and working with Business Partners and Friends of Data Science to insert algorithms into business processes and activate them directly with the business.

Job Qualifications

• At Least Bachelor Degree in Analytics, Data Science or related field.
• 1+ year of experience in Python, Cloud and ML Alorithms
• Hands on Machine Learning project experience by Python
• Good understanding about Data Analytics and Business Intelligence
• Exposure in model validation, back-testing, and other model risk management activities.
• Proven Foundation across full spectrum of ML Techniques (Traditional Methods, Deep Learning, Bayesian, etc), Statistics, Data Modeling, and Optimization.
• Strong written and verbal communication skills to influence others to act
• Ability to balance multiple priorities
• Good social skills, self-motivated, dynamic and can-do attitude
• Strong enthusiasm and curiosity about the intersection of business and technology

About Us

We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.

Visit http://www.pg.com to know more.

Our consumers are diverse and our talents - internally - mirror this diversity to best serve it. That is why we’re committed to building a winning culture based on Inclusion and our ideal candidate is passionate about the same principle: you will join our daily effort of being “in touch” so we craft brands and products to improve the lives of the world’s consumers now and in the future. We want you to inspire us with your unrivaled ideas.

We are committed to providing equal opportunities in employment. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, veteran status, HIV/AIDS status, or any other legally protected factor.

Primary Purpose

Reporting to the Senior Manager, Supply Chain SMO/COE, the Master Data Quality & Governance Manager plays a vital role in ensuring the accuracy and integrity of master data and will be responsible for overseeing and implementing data governance strategies, policies, practices, and processes across the Asia Pacific region. This role is also responsible for collaborating with APAC business stakeholders to understand their data needs and requirements and ensuring data quality standards, processes and procedures align with business objectives, and providing training and support to business stakeholders on data quality best practices.

Develop and Implement Data Governance Framework:

o Design and establish a comprehensive data governance framework across the Asia Pacific region.

o In partnership with Global Data Governance teams define data governance policies, procedures, and standards to ensure consistent and accurate data management practices.

o Collaborate with stakeholders to gain buy-in and support for the data governance initiatives.

Data Stewardship and Ownership:

o Establish data quality rules, monitor data compliance, and resolve data-related issues.

o Ensure data ownership and accountability by establishing data governance and execution roles and responsibilities.

o Drive continuous improvement by monitoring data governance performance and identifying opportunities for enhancement.

o Conduct regular data audits and assessments to identify gaps and recommend corrective actions.

o Collaborate with cross-functional teams, including IT, finance, operations, privacy and legal to ensure alignment and compliance with data governance initiatives.

o Engage with global stakeholders to share best practices, leverage synergies, and contribute to the overall data governance strategy.

Training and Awareness:

o Develop training programs and materials to educate employees on data governance policies, procedures, and best practices.

o Raise awareness of the importance of data governance and its impact on business operations and decision-making.

o Provide guidance and support to business units in implementing data governance practices effectively.

o Act as a subject matter expert, providing guidance and support to stakeholders on data governance-related matters.

Inherent Requirements

Formal Qualifications

Bachelor's in information management, computer science, business administration, or a related field.

Key Skills / Core Competencies

• Strategic thinking ability, as well as detailed analytical and problem-solving skills
• Strong communication and relationship building skills to collaborate cross functionally with internal partners and external customers.
• Comfort in managing relationships with senior leadership.
• Strong entrepreneurial, customer service orientation.
• Ability to effectively prioritize, execute tasks and manage deadlines in a high-pressure environment.
• Good written, oral, and interpersonal communication skills.
• An ability to work well in an ambiguous environment with minimum supervision.
• Strong professional presence and business acumen.
• Innovative, proactive, and flexible to change.
• Self-motivation and a strong sense of ownership and accountability
• Exposure to process improvement methodologies with Lean Six sigma Green or Black belt an advantage

Experience

• Proven experience in data governance, data management, or related roles, preferably within a multinational organization operating in the Asia Pacific region.
• In-depth knowledge of data governance frameworks, principles, and best practices.
• Strong understanding of data quality management, data privacy regulations, and data-related compliance requirements.
• Demonstrable experience leading process change
• Superior vendor management experience
• Demonstrable knowledge and experience in SAP, SFDC, M365, BI and data analysis tools.

At GXS, we are a digital bank on a mission to make banking better for Singapore’s everyday consumers and small businesses.

We are seeking a visionary leader to head our team of talented and high performing AI professionals, data scientists and MLOps professionals, driving strategic AI initiatives that will help provide innovative financial solutions that are accessible, secure and user friendly. The Head of Artificial Intelligence and Data Science will be responsible for developing and executing the AI and data strategy to support the bank’s business objectives. This role requires a strategic thinker with deep expertise in Generative AI and machine learning. The ideal candidate will have a proven track record of leading high-performing teams, implementing advanced data-driven solutions, and driving innovation in a financial services or tech environment.

Key responsibilities:

• Develop and execute the AI and data science roadmap and strategy aligned with the bank's overall vision and business goals, while articulating the bank-wide value proposition of AI
• Lead and mentor a team of data scientists, GenAI data scientists, and GenAIOps/MLOps engineers to achieve departmental objectives
• Stay abreast of industry trends and advancements in AI and data science to ensure the bank remains at the forefront of innovation and provide thought leadership.
• Oversee and guide the design, development, and deployment of machine learning production models and AI solutions, ensuring the integration of AI and data science initiatives across the business units
• Collaborate with ecosystem partners to understand their data and acquire the optimal datasets for AI and ML solutions.
• Responsible for and has oversight of GenAIOps, which encompasses MLOps, deploying models in production, monitoring model metrics, and managing feature engineering pipelines, with a focus on efficiency, scalability, and meeting SLAs.
• Collaborate with senior stakeholders, business partners and external partners to identify and prioritise AI and data science initiatives that align with business priorities.
• Communicate complex AI and data concepts to non-technical stakeholders, ensuring a clear understanding of potential impacts and benefits to drive culture changes.
• Adopt a product-driven and market-driven mindset to translate technology into business applications.

Qualifications:

• Proven experience in building out AI strategy and implementing an end-to-end roadmap, while managing a team that includes GenAI scientists, data scientists, and GenAIOps/MLOps engineers.
• Master’s or PhD in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Extensive experience in machine learning (supervised, unsupervised and reinforcement learning and deep learning), GenAI, data science and natural language processing.
• Experience in managing senior stakeholders and management, in articulating the value of data to the business.
• Strong experience in showcasing the value of AI solutions
• Product-driven and market-driven mindset, with the ability to translate technology into business applications.
• Entrepreneurial mindset, eager to grow and take on challenges.
• Strong communication and interpersonal skills, with fluency in English and the ability to collaborate in multi-cultural environments.

Product area

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Job description

Google's infrastructure needs go far beyond server computers. As Google's products and services scale the globe, the Strategic Negotiation team works behind the scenes to secure infrastructure for Google's future -- everything from underwater cables to physical data center space. As a Strategic Negotiator, you combine your deep market knowledge of a given sector with tech industry savvy to negotiate cost-effective solutions to support Google's infrastructure growth. You'll work with specific project teams on negotiating deals, managing vendor and partner relationships and presenting deal recommendations to our Tech leadership. Your successful negotiations have the potential to save Google millions of dollars in operating costs and impact every part of the business.

Additional job description

The Public Affairs team focuses on telling our story to decision-makers, opinion formers, and data center communities. We are focused on creating inclusive, strategic, and scalable solutions that have authentic and universal impact.

As the Public Affairs Manager for APAC, you will advise on how to shape our data center initiatives in a way that is aligned to state and local government priorities. You will lead the maximization of partner opportunities to partner with state and local institutions and tell the story of our data center commitment.

Qualifications

Job responsibilities

• Provide public policy through leadership, assist in building our workforce development pipeline, and build relationships within Google and externally by networking.
• Manage our economic, sustainability, and social contributions to create connections between technology and modern life.
• Provide region specific business advisory support for economic development agreements, including commercial review of terms, tax implications and infrastructure funding.
• Assist with various economic development and market advocacy team projects including data analytics and data hygiene.
• Collaborate with cross-functional partners including, but not limited to, tax, finance, legal, policy, and communications on a variety of economic development matters.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 10 years of experience working with public policy teams and cross-functional stakeholders.
• Experience with economic development issues such as direct or indirect taxes, tax policy, or infrastructure development.

Preferred qualifications

• Experience in indirect taxes, economic development policy, infrastructure development, agreement drafting, and presentation development. Experience with data center real estate markets.
• Experience developing and executing strategies to deliver exceptional solutions.
• Excellent attention to detail and political/communication skills.
• Ability to identify opportunities and areas for improvement, and operate in a fast-paced environment.
• Ability to think outside the box and propose commercially and technically creative solutions.
• Ability to comfortably work in ambiguous, collaborative, and fast-paced environments.

• Cloud related Field Data Center Operations.
• Responsible for Capacity planning of Data Center resources and Data Center designing.
• This position requires hands-on technical skills to install compute rack, network and cables.
• Maintain and troubleshoot various hardware and physical network components.
• Perform and/or manage 3rd party vendors for installation of Data Center infrastructure such as rack, power, server, network equipment, cabling and cross-connects.
• Manage inventory and coordinate with suppliers and shipping companies for domestic and international shipments.
• Document, improve and maintain standard operating procedures
• Participate in the change management process
• Initiate and manage RMA processes with equipment vendors.
• Must be able to provide 24/7 on call support for emergency and outages.

Requirements:

• Minimum 8 years of experience in working with Data Center and ISP vendors for coordinating resource provisioning and device installation
• Experience in strong hands-on installation and troubleshooting server and network equipment
• Experience in DC project management
• Experience in asset management, and inventory control
• Experience in dealing with Data Center remote hands and their ticketing system.
• Must have working knowledge of Excel and shared docs and should be able to work with complex spreadsheets
• Experience dealing with customer support and SLAs
• Technical certification involving an IT discipline
• Hard working self-starter who can work with very minimal supervision
• Ability to troubleshoot enterprise level technical problems
• English proficiency , spoken and written
• Broad exposure to technical environments with understanding of hardware, networks, and the cloud infrastructure
• International shipping experience a plus (Up to 20% travel)

Summary

The objective of the role is to lead, architect and manage the technology eco-system of LK Asia Data Platform and integrate with IT Enterprise Architecture along side business controlling that supports the organization’s vision, mission, and strategy.

What you'll do

The holder of the position is mainly responsible for the following areas in coordination with his / her superior:

Lead and manage staff of data engineers to build, maintain and support the data architecture.

Design and build the DWH database models (star schema).

Design and build efficient data pipelines (ETL) that ensure data quality and integrity.

Manage the BI semantic model, security roles, access rights and row level security filters.

Work with business counterparts as well as IT Business Consulting, Infrastructure teams and external vendors on new data requirements.

Ensure proper maintenance and support of the BI architecture including security roles, deployments, security patching and monitoring to ensure performance and compliance with internal technical and security guidelines.

Ensure proper documentation of data infrastructure, data models, workflows as well as security concepts in accordance with internal security policies.

Assist IT management with ad hoc tasks related to BI, reporting and audit as well as other tasks when required.

What you'll need

• 8+ years of experience in IT, preferably with BI Development background and exposure to different BI domains, platforms, and technologies.At least 2 years in staff managing position.Strong knowledge and proven hands-on experience in data warehousing (e.g. ETL design/development, data modelling)Proficiency in Oracle and PostgreSql.Strong analytical thinking, problem-solving capability and business process understanding.Customer-oriented with good communication and interpersonal skills.Good leadership and people management skills.Proactive, self-motivated, hard-working and able to work in a dynamic environment.Good spoken and written communication skills in English

What you'll receive

By designing and implementing scalable, secure, and efficient data solutions that meet the needs of the organization and its users, a holder of the position will gain a deep understanding of the business needs, processes and business applications used as well as have the opportunity to keep up with the changing technologies and trends in the BI & data field through working on various IT projects.

We are dedicated to fostering a family-friendly culture and work environment. We are an equal opportunities employer and welcome applications from all candidates with the required skills and experience. We enable fair pay within the company by creating non-discriminatory salary systems. Working at Lidl & Kaufland Asia is rewarding, in every sense, because we give you the training to succeed in your role and plenty of opportunities to progress your career here. We are accredited as a Fair and Progressive employer by the Tripartite Alliance for Fair and Progressive Employment Practices (TAFEP).

Market Leading Remuneration Package:

• Annual wage supplement and discretionary bonus
• Life Insurance
• Medical Insurance

Supportive Environment:

• Out of Office leave for important appointments
• In-house training courses
• Training sponsorship scheme

Work-life Balance:

• 5-day week
• Competitive Annual Leave
• Charity, Community and Sporting Events

If you are not invited for an interview within 4 weeks, we regret that your application was not suited to this vacancy.

For more company information, please feel free to visit: http://www.lidl.asia

Personal data collected will be used for recruitment related purposes only and will be destroyed after 12 months

We are seeking a highly motivated individual to join our team as a Customer Success Manager (Trade Finance). As a Customer Success Manager, you will engage the various financial, commodity and supply chain stakeholders to drive the digitalization in trade and contribute to overall efficiency of Singapore’s supply chain landscape.

Key Responsibilities

Ensure success for customers across their whole lifecycle

• As advocate for the Customer, define key business requirements, understand and anticipate Customer’s needs
• Lead commercial discussions with Customer to drive revenue for the company
• Plan and execute product and systems implementations (e.g. UAT, SIT, live production) to ensure smooth deployment
• Work alongside the wider team to implement solutions, ensuring that the product development, deployment, and Customer onboarding are delivered on time
• Support business outcomes for Customer helping them realize value from the product through continuous improvement in product design, delivery practices and customer satisfaction by understanding business needs
• Manage use case pipeline, account manage and act as point of contact for Customer’s feedback and issues
• Provide product knowledge to Customers and drive resolution in a timely and proactive manner
• Track and ensure realization of financial and non-financial targets and other strategic KPIs
• Drive and support expansion plan for existing use cases and drive user adoption
• Form strong relationships with customers, keeping them fully engaged and supported, liaising with both technical and business focused audience

Expand Customer base and Use Case adoption

• Work with existing Customers and stakeholders to drive Customer reference and prospects
• Deliver proactive customer contact strategy to engage, recruit and drive account growth
• Identify at-risk customer and execute remediation plan
• Overall responsible for the management of a portfolio of Customers to foster long-term business relationships

Be a key member of the team

• Have a Customer-first mindset and experience in delivering business outcomes
• Be highly collaborative and work across teams and stakeholders to deliver right outcome for customer
• Act as a role model for the team by always demonstrating the highest standards in business conduct; transparency, predictability, integrity and compliance
• Act as a company ambassador for internal and external events

Qualifications / Skills and Competencies

The ideal candidate would have

• ~ 5-10 years of relevant and current experience in structured trade and commodity finance products
• Proven track record for driving digitalization and/or process optimization in trade finance with passion for Digital solutions to address customer business problems
• Experience in key supply chain industry business processes with established network in various industry especially in the commodities sector. Bearing know-how of the nuances/ways of work related to trade finance transactions, credit facilities structuring, risk monitoring, supply chain financing
• Experience handling a portfolio of commodity clients including oil/energy, metals and soft commodities
• Strong business, trade and technology industry knowledge paired with an ability to “see the big picture” to identify the dependencies, plus the upstream and downstream impact of process enhancement
• Strong written and verbal communication skills. Ability to present comfortably and compellingly to senior audiences and to deliver difficult messages objectively to both internal and external stakeholders
• Strong ability to engage Customer and stakeholders with proficiency in aligning cross-topic objectives in multi-organizational set up
• Customer focused with strong interpersonal, negotiation and influencing skills
• Experience working in a team-oriented, dynamic and fast-paced environment
• Confident, self-motivated team player who thrives in a fast-moving environment
• Good understanding of software development principles and practices, and prior experience working with technical teams is a plus
• Prior sales or relationship management experience in commodity trade finance is a plus
• Prior experience and exposure to API, data platforms implementation is a plus

At Viddsee, we are building the leading storyteller platform for audiences, media partners, storytellers and brands; incubating talents & IPs, and furthering the potential of Asian stories.

As the Head of Media & Data for the region, you will be leading Viddsee’s regional expansion efforts into the Media Buying & Management space, with the primary goal of driving the acquisition of new Media-based business. You will report to the Vice President of Commercial, and have local Media Managers (SG, TH, PH, ID) reporting to you. Together, the Media & Data team will be required to grow our Media-based clientele, generate revenue and deliver a return on investment to the firm. This is an independent position but with precise KPIs to be reached.

Essential Duties and Responsibilities:

• Drive and direct the development of compelling Media campaign solutions including consumer and category insights, right selection of media channel, defining primary and secondary KPIs, budget allocation by channels backed by data and rational, across the region.
• Work closely with local Media Managers to create and sustain great client relationships and excellent delivery
• Briefing, guiding & supervising the Media & Data team (execution, reporting & ad-operations teams) on a day-to-day basis ensuring operational excellence on the account.
• Evolve use of measurement systems to provide greater insight into ROI of media plans and ensure the team deliver on agreed KPIs.
• Contribution to regional media & communications strategy development as needed.

Requirements and qualifications:

• At least 10 - 12 years of integrated media experience.
• Strong working experience in digital media planning and buying, offline media.
• Experience working in client relationship management, within a multi-market (SEA) environment.
• Proactive mindset, strong attention to detail, able to multitask and handle multiple projects at one time.
• Passionate about the media and communications industry and keen to stay on top of the ever-evolving media landscape.
• Leadership skills in building and leading operational excellence for the team.
• Excellent communication, negotiation, and presentation skills.
• Can do attitude and demonstration of determination and resilience to deliver targets and goals

Job Summary:

Head of Data Analytics will play a crucial role in analyzing and interpreting e-commerce data to provide actionable insights that drive strategic business decisions. This role involves working closely with cross-functional teams and engaging with clients to understand business needs, market trends, and competitive dynamics within the APAC region. The ideal candidate will have strong analytical skills, a passion for data-driven decision-making, and a deep understanding of the APAC e-commerce market.

Key Responsibilities:

1. Data Analysis and Interpretation:

• Analyze complex e-commerce data sets to identify trends, patterns, and insights.

• Utilize advanced analytical tools and techniques to provide data-driven recommendations.

• Translate data into compelling stories and actionable insights for stakeholders and clients.

2. Market Research and Competitive Analysis:

• Conduct market research to understand customer needs, preferences, and behavior.

• Benchmark company performance against industry standards and competitors.

• Stay informed about market trends, emerging technologies, and customer preferences.

3. Insights Development:

• Collaborate with cross-functional teams to support product development, and solution roadmap.

• Create detailed reports and presentations that communicate findings and recommendations to clients.

4. Client Engagement:

• Build and maintain strong relationships with key clients to understand their needs and ensure insights align with their business goals.

• Present insights and recommendations to clients, addressing their specific challenges and opportunities.

• Act as a point of contact for client queries related to customer insights, ensuring a high level of client satisfaction.

5. Stakeholder Collaboration:

• Work closely with marketing, product, and sales teams to ensure insights are integrated into business processes.

• Provide support and guidance on customer insights to drive strategic initiatives.

• Continuously evaluate and improve insights processes to enhance effectiveness and efficiency

Qualifications:

• Deep understanding of the APAC e-commerce market and cultural nuances.

• At least 5 years of relevant experience in customer insights, market research, or data analytics, preferably within the APAC region.

• Strong analytical skills with proficiency in data analysis tools and methods.

• Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical audiences and clients.

• Proven ability to work collaboratively in a cross-functional team environment.

• Experience in client engagement and relationship management.

• Ability to manage multiple projects and priorities in a fast-paced environment.

Technical Skills:

• Manage delivery of projects through full EDC data management study life-cycle (with minimal guidance).

• Perform comprehensive data management tasks including data review, writing, and resolving data clarifications.

• SAE Reconciliation, Query management, Listing’s review.

• Develop and manage DM documents like Data Handling Plan (DHP), Data Review Plan (DRP), Data Management Plan for assigned trials, Manual Listings plan and validation.

• Case Report form design and review.

• Ability to perform EDC testing including test case creation, UAT.

• Work closely with the internal/external cross-functional team (CRAs, Project Managers and Statisticians) to ensure all the data related issues are resolved.

• Communicate ideas for process improvement. Assist in developing and implementing new technology. Understand and comply with core operating procedures and working instructions. Meet objectives as assigned.

• To undertake other reasonably related duties as may be assigned from time to time.

• Manage multiple projects, ensuring that timelines are met, and deliverables are of utmost quality

Additional Skills:

• Ability to successfully manage multiple tasks and timelines

• Ability to perform assigned tasks with little supervision

• Ability to liaise professionally with team members

• Strong verbal and written communication skills in English

• Demonstrated ability to learn new technologies, applications, and techniques

• Knowledge of ICH-GCP, 21CFR Part 11

Qualification:

• Bachelor's degree, or educational equivalent, in clinical, biological sciences, or related field, or nursing qualification with 4+ years of experience in core Clinical Data Management.

JOB DESCRIPTION

Google's infrastructure needs go far beyond server computers. As Google's products and services scale the globe, the Strategic Negotiation team works behind the scenes to secure infrastructure for Google's future -- everything from underwater cables to physical data center space. As a Strategic Negotiator, you combine your deep market knowledge of a given sector with tech industry savvy to negotiate cost-effective solutions to support Google's infrastructure growth. You'll work with specific project teams on negotiating deals, managing vendor and partner relationships and presenting deal recommendations to our Tech leadership. Your successful negotiations have the potential to save Google millions of dollars in operating costs and impact every part of the business.

ADDITIONAL JOB DESCRIPTION

The Public Affairs team focuses on telling our story to decision-makers, opinion formers, and data center communities. We are focused on creating inclusive, strategic, and scalable solutions that have authentic and universal impact.

As a Public Affairs Manager for APAC and India, you will advise on how to shape our data center initiatives in a way that is aligned to state and local government priorities. You will lead the maximization of partner opportunities to partner with state and local institutions and tell the story of our data center commitment.

Qualifications

JOB RESPONSIBILITIES

• Enhance and safeguard the data center lifecycle.
• Manage our economic, sustainability, and social contributions to create connections between technology and modern life.
• Execute our community grants programs while building our public policy and community engagement activities in an organized way.
• Provide public policy through leadership, assist in building our workforce development pipeline, and build relationships within Google and externally by networking.

MINIMUM QUALIFICATIONS

• Bachelor's degree or equivalent practical experience.
• 6 years of experience negotiating and structuring agreements or leading business development.
• At least 6 years of experience working on political communications or technology policy issues within government, think tanks, public interest groups, private sector, or relevant industry associations.
• Ability to communicate in Hindi fluently to drive discussions with key stakeholders and local communities.

PREFERRED QUALIFICATIONS

• Experience working with public policy teams and cross-functional stakeholders.
• Experience developing and executing strategies to deliver exceptional solutions.
• Experience executing cross-functional projects.
• Ability to identify opportunities and areas for improvement, and operate in a fast-paced environment.
• Excellent attention to detail and political/communication skills.

Role Responsibilities:

• Promote product lines by highlighting unique selling points and demonstrating value to potential clients.
• Conduct compelling sales presentations and collaborate with the marketing team to enhance product visibility through B2B events and networking sessions.
• Prepare detailed sales forecasts, comparing target vs. actual performance, and present these to the Sales Manager in Singapore to ensure sales targets are met.
• Develop concept proposals, detailed specifications, and quotations tailored to client needs.
• Strive to meet or exceed sales turnover targets by diligently following up on leads and closing sales.
• Build and maintain trust with End Users, System Integrators, and Cabling Installers by offering professional pre-sales and post-sales services.
• Provide basic technical support to help clients understand and use our products effectively.
• Develop a comprehensive understanding of our product lines.
• Deliver presentations, both internally and externally, to educate stakeholders on our products’ features and benefits.
• Work closely with the Design, Production, and Logistics teams to ensure timely product delivery and customer satisfaction.
• Communicate customer feedback to relevant teams to improve product quality and service.
• Conduct weekly sales visits to System Integrators, Distributors, and End Users to build relationships and gather market intelligence.
• Provide detailed weekly sales visit reports to the Sales Manager in Singapore, outlining activities, insights, and follow-up actions.
• Coordinate with the Finance team to follow up on outstanding payments, ensuring timely collection.
• Prepare general reports and provide administrative support as required.
• Execute any additional duties and responsibilities assigned from time to time to support the company’s goals.

Requirements:

• Minimum Diploma / Bachelor's Degree in Computer Science / Engineering
• Highly energetic and fast learner, able to absorb knowledge fast, on both business and technology
• Strong customers-focus, an advocate of excellent customer service
• Highly adaptable in a fast-paced environment
• Sales-driven, to meet business targets and goals
• Independent as well as a team player

If you are interested, kindly apply through mycareersfuture.

I regret to share that only shortlisted candidates will be notified.

www.dadaconsultants.com

EA Registration Number: R21100604

Data provided is for recruitment purposes only

Business Registration Number: 201735941W.

Licence Number: 18S9037

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processes only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for an experienced Data Manager to oversee the development and use of data systems in ADVANcing Clinical Evidence in Infectious Diseases Network (ADVANCE-ID)

ADVANCE-ID is jointly funded by the Wellcome Trust and Singapore institutions including the Saw Swee Hock School of Public Health and Yong Loo Lin School of Medicine, National University of Singapore. The vision of the Network is to improve public health by developing the clinical evidence base for the prevention and treatment of drug-resistant infections. Its mission is to build and sustain a strategic clinical research network focussed on most efficiently delivering locally relevant interventions for drug-resistant infections.

The Network aims to improve and strengthen clinical research capabilities in the region by acting as a platform to develop good principles and practices. It will stabilise capacity and capabilities to mitigate inefficiencies in trial start-up phase and loss of skillset following study closure, as in typical trial setup. The Network will continuously develop its capabilities, quality and efficiency by learning from and collaborating with other clinical trial networks.

In the long term, the Network aims to support broader infectious disease studies by expanding geographically beyond its original starting point in South East Asia and collaborating with other networks around the world. It will function as an active network that involves patients in platform trials, allowing for rapid clinical research response in the event of an emerging infectious disease or pandemic threat.

The data manager should be a data expert with experience in clinical trial data management and will be working closely with both internal and external stakeholders.

Duties & Responsibilities
• Data Governance: Establishing data governance policies and procedures to ensure data quality, consistency, and integrity throughout the organization.
• Data Collection and Integration: Designing and implementing data collection methods and processes to gather relevant information from various sources.
• Database Management: Overseeing the design, development, and maintenance of databases to store and organize data efficiently. This includes database architecture, data modeling, indexing, and performance optimization
• Data Integration: Combining data from different sources into a single, unified dataset. This involves merging, consolidating, or linking data based on common data attributes or identifiers.

• Data Quality Assurance: Developing and implementing procedures for data validation,data cleansing, and data quality checks to ensure the accuracy, consistency, andcompleteness of data.
• Data Analysis and Reporting: Collaborating with investigators to provide accurate andtimely data for analysis and reporting purposes.
• Data Strategy and Planning: Contributing to the development of data strategies androadmaps aligned with the organization's objectives.
• Collaboration and Communication: Collaborating with cross-functional teams, includingIT, analytics, and business units, to understand data requirements and ensure dataavailability.
• Compliance and Regulations: Keeping up-to-date with data protection regulations,industry best practices, and emerging technologies.

Qualifications

• Experience in clinical trial data management
• Proficiency in data management tools, databases, and programming languagescommonly used in data management.
• Excellent communication and collaboration skills
• BSc or MSc in relevant field

Job Responsibilities:

• Design, develop, test and document in-house developed computation-intensive software components that are critical to the core business functions.
• Participate in new system requirements analysis.
• Assist users during User Acceptance Testing.
• Design, implement and monitor data pipelines.
• Assembling large, complex sets of data that meet non-functional and functional business requirements.
• Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
• Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies.
• Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition.
• Working with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues

Requirements:

• Degree in Computer Science or equivalent.
• Minimum 5 years of experience in software development environments
• Proficient in Java Programming Language, SQL, No-SQL
• Proficient in AWS ecosystem is advantageous.
• Strong attention to detail and accuracy
• An analytical mindset with problem-solving skills
• Excellent communication and collaboration skills
• Excellent organizational and time management skills.
• Ability to handle confidential and sensitive information with integrity.
• Adaptability and flexibility to work in a fast-paced, dynamic environment.

NUHS Data Analytics & Insights (DAI) team under Group Care Plan Ops support and work in close partnership with NUHS senior management, Group Specialty Chiefs (GSCs), Management Decision Support (MDS) teams and other stakeholders to realise the delivery of One Specialty, Multiple Sites and a OneNUHS patient care philosophy. The DAI team develops innovative analytics solutions and derives actionable insights to support management decision making towards attainment of NUHS vision and key priorities.

This is a business analyst role where you will play a critical role in overseeing and driving the successful execution of data-related projects, and bridging the gap between complex healthcare data and actionable insights. You will collaborate with cross-functional teams, stakeholders, and data specialists to ensure project objectives are met, timelines are adhered to, and deliverables are of high quality. Your expertise in project management methodologies, data processes, and team coordination will contribute to the effective and efficient implementation of data initiatives that improve patient outcomes, operational efficiency, and organizational effectiveness. You will also be responsible for transforming raw data into meaningful information, collaborating with various stakeholders to ensure accurate and efficient data interpretation, analysis, and reporting.

Responsibilities

• Undertake project management responsibilities to oversee data-related initiatives and ensure they meet established timelines and deliverables.
• Drive the development of analytical solutions to generate actionable insights, supporting decision-making, planning, and resource allocation in alignment with NUHS priorities and goals.
• Facilitates collaboration among cross-functional teams, manages stakeholders and ensures the successful implementation of data initiatives that improve patient care, operational efficiency, and organizational effectiveness, in compliance with data privacy and security regulations
• Collaborate with data teams and stakeholders to extract, interpret, and creatively visualize data. Transform raw data into meaningful information, ensuring accuracy and efficiency in data interpretation, analysis, and reporting.
• Develop, maintain, and enhance interactive dashboards using tools like Tableau.
• To be well versed with and keep updated on Epic and other operational applications in order to propose solutions that will address group operations management and senior management needs on operational excellence.

Requirements

• Bachelor’s Degree in Computer Science, Information Management, Mathematics, Statistics, Operations Research, Engineering or equivalent work experience.
• At least 5 years of relevant working experience with analytics tools e.g. SQL, Python, MS Excel (advanced), data visualisation tools (e.g. Tableau)
• Excellent interpersonal skills, attention to detail, and flexibility to collaborate across various team areas and functions, and manage multiple priorities.
• Possess can-do attitude and work independently in ambiguous situations.
• Excellent leadership, communication, and stakeholder management skills.
• Strong analytical and problem-solving skills
• Proficient in extracting, cleansing, and interpreting complex data with attention to detail and accuracy.
• Able to communicate sophisticated data science concepts clearly through concise reports and presentations, effectively conveying observations and recommendations.
• Familiarity with healthcare setting is a plus.

Job Duties

Commercial planning & monitoring

• Provide inputs to supervisor on commercial aspects of the project management program
• Define documentation guidelines for financial reporting on the project; Oversee adherence to the same on an on-going basis
• Guide subordinates on analysing project revenues and direct/indirect costs against forecasts
• Evaluate options for addressing significant deviations from the plan in consultation with supervisor
• Advise and support relevant project teams on corrective action
• Provide necessary support with respect to documentation, etc. to external audit teams

Risk & opportunity management

• Evaluate risks and opportunities identified by the project teams in consultation with supervisor
• Perform valuations with respect to the potential financial impact of key risks/opportunities
• Adjust project costs to reflect the same for tendering as well as during project execution
• Advise and support relevant project teams on mitigating risks and leveraging opportunities

Cash flow management

• Oversee and direct team on collecting payments from clients in a timely manner; seek support from supervisor in case of any issue
• Liaison with financial institutions for timely payment to suppliers and sub-contractors
• Monitor project cash flows against forecasts on an on-going basis
• Guide subordinates or relevant project teams on taking corrective action for any deviations from forecast
• Raise unresolved issues to supervisor in a timely manner for subsequent planning and resolution

Client negotiations

• Conduct commercial negotiations with client during the initial contracting process; Seek inputs from supervisor and project teams on technical aspects
• Oversee timely issue of notices to the client for any subsequent variations in scope of work, sequence of work, timelines, documentation requirements, etc. from the original contract
• Provide necessary clarifications to the client for any queries/concerns related to such notices issued
• Inform the Head of Commercial on major deviations from project scope and outcomes of high-impact negotiations

Supplier/sub-contractor management

• Create procurement strategy for the project in conjunction with supervisor
• Review and approve procurement schedules created by subordinate
• Guide subordinate on evaluation of sub-contractors, preparation of contracts and monitoring of sub-contractor performance
• Monitor critical sub-contracted work as directed by supervisor
• Feedback from supervisor on supplier/sub-contractor management

People management

• Set objective goals and evaluate performance of subordinates
• Train and mentor subordinates on technical as well as behavioural aspects of their respective roles
• Provide opportunities to the team to develop their capabilities
• Identify performance gaps in subordinates and provide necessary support to close such gaps
• Recognise and encourage high performing subordinates
• Resolve issues faced by subordinates

Job Requirements

• Degree in Quantitative Surveying or related area
• More than 8 years of experience in the construction industry
• 3-5 years of experience in managing the commercial department of projects of similar size/complexity
• Good knowledge of legal aspects relevant to contracting
• Good organization and time management skills

Senior Executive/Assistant Manager, Data Analytics & Insights

Group Care Plan Operations

Data Analytics & Insights (DAI) team under Group Care Plan Ops will support and work in close partnership with NUHS senior management, Group Specialty Chiefs (GSCs), Management Decision Support (MDS) teams and other stakeholders to realise the delivery of One Specialty, Multiple Sites and a OneNUHS patient care philosophy. The DAI team will develop innovative analytics solutions and derive actionable insights to support management decision making towards attainment of NUHS vision and key priorities.

Responsibilities

• Identify data and information needs required to enable the vision and key priorities of the organisation.
• Collaborate with stakeholders to identify available and relevant datasets and make strategic recommendations on such collection, integration and usage.
• Develop, maintain and refine interactive dashboards using data visualisation tools such as Tableau.
• To assist in developing the timeline that will enable DAI to progressively meet stakeholder needs.
• Establish and prioritise dashboard and scorecard of key stakeholders and working collaboratively with Group Clinical Ops and Group Service Ops, to refresh the Dashboard and Scorecards on an ongoing basis.
• To be well versed with and keep updated on Epic and other operational applications in order to propose solutions that will address group operations management and senior management needs on operational excellence.

Requirements

• Bachelor’s Degree in Computer Science, Information Management, Mathematics, Statistics, Operations Research, Engineering or related disciplines with strong statistical modelling and machine learning skills.
• At least 3 years of relevant working experience with analytics tools e.g. SQL, Python, MS Excel (advanced), data visualisation tools (e.g. Tableau)
• Familiarity with healthcare setting is a plus.
• Fresh graduates with excellent data capabilities will be considered.
• Excellent interpersonal skills, attention to detail, and flexibility to collaborate across various team areas and functions.
• Possess can-do attitude and work independently in ambiguous situations.
• Strong analytical and problem-solving skills
• Proficient in extracting, cleansing, and interpreting complex data with attention to detail and accuracy.
• Able to communicate sophisticated data science concepts clearly through concise reports and presentations, effectively conveying observations and recommendations.

Our Background:

Founded by Temasek & UST, Temus is a start-up aspiring to be Singapore's Digital Transformation champion, with a mission to empower Singapore’s Smart Nation across public and private sectors and enhance the lives of citizens.

Our services span from strategic advisory through to digital, data and AI delivery. Our focus is on harnessing disruptive innovation to unlock economic and social value enabled by technology.

We are growing quickly, and we are looking to recruit strong and highly motivated people to join us on this audacious mission.

Our Purpose

• Place client value and human experience at the centre of everything we do
• Use AI and data to deliver material impact and drive disruptive transformation across public and private sectors
• Maintain public trust in AI and data protection ensuring fairness, ethics, accountability, and transparency

Your Role

• Lead design & delivery of Data pipelines to drive material impact and drive disruptive transformation across our clients in public and private sectors
• Build a world-class team with experts in Data engineering
• Produce thought leadership for data engineering and scaling deployments
• Develop and maintain relationships with a broad range of clients, colleagues, and partners across a variety of contexts and formats
• Mentor junior members to help them build career in Data Engineering
• Invest continuously in building and extending your knowledge and skills

Your Profile

• Minimum 7 years of designing, building and operationalizing large scale enterprise data solutions and applications (both with batch and streaming data)
• Experience using one or more of AWS / Azure / GCP data and analytics services in combination with custom solutions - Spark, Azure Data Lake, Databricks, Snowflake, HDInsights, SQL DW, DocumentDB, Glue, Athena, Elastic Pool etc.
• Experience with Stream platforms and real-time aggregation platforms like Kafka, Kinesis, Spark, Flink, KSQL etc.
• Experience with multiple data storage solutions for analytics, operational and archival purposes like MongoDB, Cassandra, HBase, Redis, PostgreSQL, MySQL, DB2, Neo4j, S3 etc.
• Experience with data transformation tools/platforms like: dbt, Alteryx, Datameer, dataform, Informatica, Talend etc. and their data quality management features
• Mastered at least one core language: Python, Scala, Java
• Good exposure to concepts like Serverless computing, CI/CD, Containerization, Infrastructure as Code, code version control and automated testing
• Experience building historical and real-time operational ‘feature layers’ to support AI/ML teams
• Excellent understanding of the state of Data Engineering evolution in the industry through active tracks of improving knowledge and skills (e.g. courses, podcasts, books, experimentation, open source volunteering, tech meetups etc.)
• Track record of delivering scalable Data pipeline services running in production.
• Strong ability to communicate with a broad range of clients, colleagues, and partners across a variety of contexts and formats.
• Strong ability to explain design decisions and provide alternatives supported by analysis like pro/con, past experiences etc.
• Strong ability to develop and maintain relationships amongst clients, colleagues, and partners
• Demonstrated capability to lead, inspire, coach and mentor team members and colleagues.

Equal Opportunities

Temus is an equal opportunities employer. We welcome applications from all. We do not discriminate by race, religion, belief, ethnicity, origin, disability, age, partnership status, sexual orientation, or gender identity.

We see the diversity of our team as a strategic advantage, and we work actively to maintain it.

COMPANY DESCRIPTION

1-Net manages carrier-neutral Internet Data Centers, along with providing a comprehensive range of integrated services including network connectivity, managed services, work area recovery suite, cloud and media delivery services. 1-Net's Data Center Corridor initiative currently interconnects key data centers in Singapore to facilities quick deployment and providing a diverse connectivity options for enterprises and service providers.

We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.

Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.

RESPONSIBILITIES

• Serve as the single-point of contact for all customer account management matters.
• Build and maintain strong, long-lasting client relationships.
• Negotiate contracts and close agreements to maximize profits.
• Ensure the timely and successful delivery of our solutions according to customer needs and objectives.
• Perform monthly/quarterly business progress updates to internal and external stakeholders.
• Develop new business with existing clients and/or identify areas of improvement to meet sales quotas.
• Forecast and track key account metrics (e.g. quarterly sales results and annual forecasts).
• Identify and maintain customer reference ability within the assigned account list.
• Prepare reports on account status, including Accounts Receivable and Contract expiry dates.
• Assist with challenging client requests or issue escalations as needed.
• Schedule one-on-one session with BRM staff per week to help/guide them in achieving their performance plan goals.
• Provide weekly and monthly reports to the Management regarding Sales Revenue Performance, Contracts Renewals and A/R Aging.

• Degree holder with minimum 6 years of working experience in customer accounts servicing and at least 2 years experience in leading a team.
• Applicants without academic qualifications but with more years of experience are welcome to apply.
• Excellent interpersonal and communication skills.
• A good team player and leader.
• Maintain a positive attitude focused on customer satisfaction.
• Working location: 1-Net (East) at Chai Chee

Job Description, Roles, and Responsibilities (Commissioning Manager):

A Commissioning Manager effectively manages, leads and supervises the entire quality & commissioning process including contractual deliverables. Coordinate with all departments to ensure a smooth handover from construction through to commissioning and client hand over, including extensive follow-up with contractors, vendors, and the client site team.

ROLES AND RESPONSIBILITIES

• Chair weekly Commissioning meeting with vendors
• Chair daily site Commissioning Meeting following Power On
• Issue daily Notification of Energization (NoE) during Power ON phase
• Ensure the Calibration of ALL test equipment to be used is valid and in date.
• Oversee the correct implementation of the ESSW system including Lock Out Tag Out.
• Ensure registers are maintained for LOTO and related control measures (Lock Box, Authorized Persons).
• Coordinate with the site safety team to endure source of energy risks are covered in site awareness.
• Coordinate safety watch requirements for Commissioning activities.
• Coordinate room access control personnel for sign in, sign out registers and permit to work controls in Commissioning Areas. Assistance by Safety Team
• Ensure adequate safety signage is installed by the HSE team, including live warning labelling and contact persons for Electrical and Mechanical plant.
• Coordination with ALL vendors for documentation (RAMS, Red Line Drawings, Start Up Scripts, SAT)
• Plan Mobilization dates and resources for 3rd Party vendors and commissioning contractors
• Plan and manage the Testing & Balancing team activities.
• Assist Engineering in developing the Equipment Tagging Register for Equipment Labelling (Traffolyte / SS)
• Coordination of vendors/engineering for all inter connections between packages (HW & SW)
• Liaise with the QAQC Inspectors for progress updates during the installation process.
• Liaise closely with the ELV Lead for EPMS/BMS readiness, per package as per the commissioning program.
• Manage the QAQC snagging list and ensure follow up of closures with the Construction Managers, not to delay the commissioning schedule.
• Prepare and distribute a issues log, independently to the Completion Management System CIL for tracking issues or deficiencies during the installation phase.
• Coordinate the closure of all Commissioning Issues raised in the CMS during FAT, L2, L3, SAT and IST
• Manage closely the static testing of MV & LV power cabling, ensuring the installation adheres to approved drawings. Any “To/From” deviations to be escalated immediately.
• Prepare and issue a weekly Commissioning Dashboard report.
• Prepare and issue a 2-week static and pre-functional testing look ahead program - To be updated and issued on a weekly basis.
• Manages and motivates the QA/QC and Cx teams, acts as a champion for all policies and procedures and leads by example, particularly in the areas of work ethics, quality, health, and safety.
• Plan and arrange vendors to attend for System Level and Integrated System Testing Demonstrations
• Leads engineers involved in “hands on” System Level Testing and IST Demonstrations

QUALIFICATIONS & EXPERIENCE:

• Electrical, Instrumentation or Mechanical Engineer.
  BS. Degree or Equivalent in trade experience (15 Years) with a recognized trade certificate.
• 5+ years in area specific project experience.
• Multi-discipline understanding (Electrical & Mechanical, including ELV)
• Very good English language skills.
• Competent in the use of PC applications (Microsoft Office suit or equivalent).

PRODUCT AREA

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

JOB DESCRIPTION

Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As a Hardware Operations Manager, you will manage a team of Data Center Technicians. You will oversee the quality installation of server hardware and components and take charge of complicated installations/troubleshooting.

Your team will install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google's Linux cluster). They will also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. They may lead small project teams on larger installations and develop project contingency plans.

Qualifications

JOB RESPONSIBILITIES

• Manage data center operations, communicate priorities, and facilitate sharing operations with following shift leads.
• Work together to identify and resolve problems, and create solutions for global computing and network architecture.
• Hire, coach, and develop a team while achieving strategic business goals, and manage the implementation of projects within the team.
• Ensure data center-related priorities are consistent with company objectives.
• Implement and drive the safety culture at the site, while building a diverse and collaborative team environment.

MINIMUM QUALIFICATIONS

• Bachelor's degree in a technical field or equivalent practical experience.
• 5 years of experience in computing infrastructure, networking, operating systems, or hardware.
• 2 years of experience managing technical teams, vendors, or contract management and delivery.

PREFERRED QUALIFICATIONS

• Experience with initiating and executing strategic initiatives in a global environment.
• Experience leading and improving Environmental Health and Safety initiatives.
• Experience working in data center environments, building and operating large-scale infrastructure, network, compute architecture, lifecycle, and Linux/Unix system administration.
• Ability to implement and drive the safety culture, while building an inclusive and collaborative team environment.
• Excellent problem-solving skills.

• Excellent practical understanding of machine learning techniques and algorithms
• Should have expertise in Graph analytics
• Good applied statistics skills, such as distributions, statistical testing, regression, etc
• Expertise in domain like AML and Compliance
• Experience with common data science toolkits
• Experience with data visualisation tools
• Proficiency in using query languages such as SQL, Hive, Pig
• Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
• Would be able to conceptualize requirement, Selecting features, building and optimizing models using machine learning techniques
• Data mining using state-of-the-art methods
• Extending company’s data with third party sources of information when needed
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Hands-on experience on Processing, cleansing, and verifying the integrity of data used for analysis
• Creating automated anomaly detection systems and constant tracking of performance of models
• Should have great communication skills
• Having experience working in a banking and compliance domain will be added advantage.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for an experienced Data Manager to oversee the development and use of data systems in ADVANcing Clinical Evidence in Infectious Diseases Network (ADVANCE-ID)

ADVANCE-ID is jointly funded by the Wellcome Trust and Singapore institutions including the Saw Swee Hock School of Public Health and Yong Loo Lin School of Medicine, National University of Singapore. The vision of the Network is to improve public health by developing the clinical evidence base for the prevention and treatment of drug-resistant infections. Its mission is to build and sustain a strategic clinical research network focussed on most efficiently delivering locally relevant interventions for drug-resistant infections.

The Network aims to improve and strengthen clinical research capabilities in the region by acting as a platform to develop good principles and practices. It will stabilise capacity and capabilities to mitigate inefficiencies in trial start-up phase and loss of skillset following study closure, as in typical trial setup. The Network will continuously develop its capabilities, quality and efficiency by learning from and collaborating with other clinical trial networks.

In the long term, the Network aims to support broader infectious disease studies by expanding geographically beyond its original starting point in South East Asia and collaborating with other networks around the world. It will function as an active network that involves patients in platform trials, allowing for rapid clinical research response in the event of an emerging infectious disease or pandemic threat.

The data manager should be a data expert with experience in clinical trial data management and will be working closely with both internal and external stakeholders.

Duties & Responsibilities
• Data Governance: Establishing data governance policies and procedures to ensure data quality, consistency, and integrity throughout the organization.
• Data Collection and Integration: Designing and implementing data collection methods and processes to gather relevant information from various sources.
• Database Management: Overseeing the design, development, and maintenance of databases to store and organize data efficiently. This includes database architecture, data modeling, indexing, and performance optimization
• Data Integration: Combining data from different sources into a single, unified dataset. This involves merging, consolidating, or linking data based on common data attributes or identifiers.

• Data Quality Assurance: Developing and implementing procedures for data validation,data cleansing, and data quality checks to ensure the accuracy, consistency, andcompleteness of data.
• Data Analysis and Reporting: Collaborating with investigators to provide accurate andtimely data for analysis and reporting purposes.
• Data Strategy and Planning: Contributing to the development of data strategies androadmaps aligned with the organization's objectives.
• Collaboration and Communication: Collaborating with cross-functional teams, includingIT, analytics, and business units, to understand data requirements and ensure dataavailability.
• Compliance and Regulations: Keeping up-to-date with data protection regulations,industry best practices, and emerging technologies.

Qualifications

• Experience in clinical trial data management
• Proficiency in data management tools, databases, and programming languagescommonly used in data management.
• Excellent communication and collaboration skills
• BSc or MSc in relevant field

Job Responsibilities:

• To ensure collaboration between QA/QC team and construction team for ensuring inspection and testing requirement are fulfilled and achieved requirement as per contract
• Coordinate with Project Director/ Manager in determined quality objective and target for the project
• Monitor the implementation of project plan
• Monitoring audit program and site inspection involving client’s Quality representative
• Monitoring and audit program on QA/QC records and archiving of records in Document controller.
• To attend the weekly safety committee meeting and discuss the current activities and associated risks. Coordinate with Client for developing and updating the Construction Risk register and follow up implementing effective control measures
• To coordinate to update Project Risk Register via ARM and update the register every month.
• To measure against implementation of control measures in construction risk register developed and approved by the client
• Develop and coordinate strategic initiatives that identify and formulate solutions to existing problems with the QMS and implement improvements

Job Requirements:

• Degree in Mechanical or Electrical Engineering
• ISO 9001 Lead Auditor
• 10 years experience with at least 5 years as Management Representative as described in ISO 9001
• Broad knowledge of the construction fields especially from a quality perspective in M&E/ Data Centre projects
• Experience in the implementation of Quality training programs from basic up to complex skills.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

Head, Data Engineering and ArtificiaI Intelligence (AI) at the National University of Singapore (NUS) Yong Loo Lin School of Medicine (NUSmed) is entrusted with a multifaceted role that involves shaping a long-term vision for harnessing the power of data across the 10 Translational Research Programs (TRPs) under the guidance of the Vice-Dean (Research). These programs encompass critical initiatives such as Assoc. Prof Jason Lee's Heat Resilience and Performance Centre, Prof Michael Chee's Centre for Sleep and Cognition, as well as numerous associated clinical trials.

A core aspect of this role revolves around the strategic architecture and leadership required to establish a robust Common Data Infrastructure for research cohorts. This infrastructure aims to achieve significant cost savings by streamlining data management processes, enforcing rigorous data governance and privacy compliance, and optimizing research efficiency throughout NUSmed. Moreover, this role is at the forefront of championing the adoption of cutting-edge AI and Machine Learning (ML) capabilities in the realms of healthcare and biomedical research. Notably, it places a strong emphasis on the application of core frontier technologies like Explainable AI (XAI) and Privacy Preserving Technology (PPTech) to drive rapid adoption in clinical settings, with the ultimate goal of enhancing the healthcare sector and extending its positive impact beyond. Furthermore, the Head actively fosters collaborative relationships with industry leaders, research institutions, healthcare clusters, and government bodies. These collaborations are instrumental in advancing interdisciplinary research, particularly in areas such as digital health and AI, where innovation and transformative breakthroughs are imperative. The Head is dedicated to the establishment of transformative training programs on incorporating computational methods to the medical fraternity. These programs are designed to equip researchers, medical students, and professionals with essential computational skills, empowering them to make ground-breaking discoveries and harness the full potential of machine learning for tangible, real-world impact.

Responsibilities include:
• Architect and lead the building of Common Data Infrastructure across research cohorts in NUSMed for computational efficiency, cost savings, data governance and setting the foundation for future exploitation (i.e. AI/ML capabilities)
• Establish cutting edge MLOps and LLMOps process flows to enable AI and ML to be applied at scale
• Lead programs to leverage on frontier technology to overcome obstacles in adoption of AI and ML in healthcare such as Explainable AI (XAI) and Privacy Preserving Technologies (PPTech)
• Lead and nurture engagement with important stakeholders in industry, research institutions, healthcare clusters and government
• Establish programs to advance interdisciplinary work between computational engineers with clinicians, as well as training programs on computational methods

Qualifications

• Bachelors or Masters in a quantitative discipline such as Computer Science, Engineering or Applied Mathematics
• Certifications in cloud technology (e.g. AWS) and scrum methodology (e.g. CSM)
• Demonstrated leadership with a strategic vision for advancing data-driven initiatives and AI adoption in healthcare
• Expertise in data engineering, AI, ML and healthcare systems
• Proven track record of delivering large scale data platforms
• Experience leading and growing highly technical teams
• Proactive with strong problem-solving, negotiation and communication skills interface with multiple stakeholders
• Ability to foster collaboration between technical teams and healthcare professionals for impactful projects
• Strong focus on achieving measurable impact through strategic data and AI/ML application in healthcare