In this role, you will contribute to the company by maintaining good relationships with our vendors through timely payments and close collaboration wi..
In this role, you will contribute to the company by maintaining good relationships with our vendors through timely payments and close collaboration with our Procurement and Accounts Teams.
Job Descripion:
Oversee incoming vendor invoices and process for payments in accordance with schedule (data entry required on internal system).
Submission of invoices to Accounts department with supporting documentation and payment approvals as per Approval Matrix.
Track and manage vendor statement of accounts.
Raising claims to owners.
Assist on Adhoc urgent payments.
Adhoc duties (Arrangement of DHL mails).
Back-up during absence of teammates.
Job Requirement:
Minimum Diploma in related studies.
Entry level are welcome to apply. Training is provided.
1 - 2 years' experience in Logistics / Shipping Industry is an added advantage.
Excellent organization skills and ability to multi-task under tight deadlines.
Ability to communicate clearly, concisely, and politely.
Experience with Microsoft Office software.
Proficient in oral and written communication skills in English language.
Proactive and self-motivated in problem solving.
Adhere to Company’s Standard Operating Procedures and audit requirements.
Our Client is a Local Bank.
Location: Raffles Place
Reponsibilities:
· Assist the project team in conducting and facilitating comprehensive HR dat..
Our Client is a Local Bank.
Location: Raffles Place
Reponsibilities:
· Assist the project team in conducting and facilitating comprehensive HR data mapping analysis, bridging existing HR systems with the target system.
· Work closely with HR and IT departments to grasp data requirements, ensuring precise and effective data migration procedures.
· Take the lead in coordinating data transformation initiatives with HR teams to ensure data integrity, consistency, and compliance with organizational and project guidelines.
· Collaborate with the project team to create and update documentation for data mapping, transformation rules, and migration processes.
· Develop and manage documentation for data migration, encompassing data dictionaries, mapping specifications, and transformation logic.
· Coordinate with IT teams to enhance data extraction, transformation, and loading processes for improved efficiency and performance.
· Implement and enforce quality assurance protocols to validate data accuracy and completeness following migration.
· Provide assistance to HR teams in executing data transformation protocols.
Requirements:
· At least 7 years of expertise in HR analytics, HRIS, HR software, or managing HR records and documentation.
· Proficient in HR data structures, processes, and regulatory requirements.
· Previous involvement in data migration projects and the implementation of new HR systems is advantageous.
· Familiarity with Oracle EBS, Workday, SAP, and other HR platforms is a plus.
· Proficiency in MS Excel, including data manipulation and validation techniques.
· Capable of effective communication with both technical and non-technical stakeholders.
· Possesses excellent organizational and documentation abilities.
Attention to: Hailey
By submitting any application or résumé to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.
We regret to inform you that only shortlisted candidates will be notified. All applications will be treated with the strictest confidence.
Elitez Pte Ltd | EA Licence: 16C8004| Hailey YANG | Registration No: R1876431
Data Engineer | Up to $7,000 | West | 24/7 Standby | Agency Contract
Full-time
Full-time
Others/Any
Singapore, Singapore
Information Technology
9 months ago
Job Scope
Work on the entire data production by implementing data ingestion pipelines (from multiple sources and in different formats), storage, tr..
Job Scope
Work on the entire data production by implementing data ingestion pipelines (from multiple sources and in different formats), storage, transformation, then their provision: datamarts, cube, reports, datasets to feed models scoring (data science), API, mainly using Dataiku and Google BigQuery
Ensure that the integration pipelines are designed in a manner consistent with the overall data framework in collaboration with the HQ’s data tech lead and according to best practices/ define framework
Be part of a continuous improvement approach by optimizing and reusing existing assets for streamline.
Take part in data integration processing aspects of data quality controls, monitoring, alerting and technical documentation, as well as data management (data models and mapping, data documentation, repositories, description of the transformations applied, etc.)
Acquire a good understanding and analysis of business challenges and be able to translate the needs into the design of concrete technical solutions and gradually extend the functionalities and scope of our data platform based on Google cloud platform and Dataiku.
Provide reliable estimates of workloads and planning according to the level of complexity and other activities to allow a good coordination of the activities of the team.
Perform unit development tests and support business users in their tests before final validation.
Contribute to the design and management of the data model, as well as to the orientations in terms of the architecture of our data platform (repositories, APIs, etc.)
Set up pipeline monitoring and monitoring of the data platform and APIs (from a functional point of view and data quality)
Analyze incidents, points of weakness and support requests related to the use of the data platform or APIs
Provide timely and accurate support to the business teams on issues
Propose improvements to optimize the data platform (optimization of existing processes, data restructuring, factorization, etc.)
Requirements:
Bachelor’s degree in Management, Computer Science or related field
Language spoken English (French is a plus)
Minimum of 3 years’ experience in IT development roles such as data integration on Google Cloud & Dataiku or similar cloud services
Mastery of the data stack components in Google Cloud Platform (certifications appreciated) including but not limited to: Google Big Query (nested fields, partitioning, merge SQL, authorized views, RLS), Cloud storage, Cloud functions, Cloud composer, Google Firestore, Google data catalog or similar services of other cloud services.
Interested candidate please click "APPLY"to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.
We regret to inform that only shortlisted candidates will be notified.
By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.
PERSOLKELLY Singapore Pte Ltd | RCB No. 200007268E | EA License No. 01C4394 | Reg. R21100696 | Agnes Goh Li Er
Working Hours: Monday to Friday, 9am -6pm
Location: Raffles
Contract job until end Feb 2025
Job Scope:
A) Analytics Business Partnering
Cultivate..
Working Hours: Monday to Friday, 9am -6pm
Location: Raffles
Contract job until end Feb 2025
Job Scope:
A) Analytics Business Partnering
Cultivate strong relationships with stakeholders to uncover opportunities to leverage data and enable the successful delivery of reports, dashboards & analytics.
Establish and iterate our HR analytics approach to business problems via advanced analysis and understanding the data infrastructure and products
Interpret and present data insights to stakeholders to drive data-informed business decisions
Lead HR data and metrics projects to create impactful measures and indicators for organization improvement and optimization
B) Advanced Analytics & Research
Design and develop data models to support forward looking HR initiatives with predictive analytics to forecast, evaluate and analyze various business problems and objectives
Establish a scientific and systematic analysis model and methodology by combining market research, data and theory for high impact HR analysis
Job Requirements:
Minimum 5 years of experience in HR analytics, business analytics
Experienced in data analysis, analytics data models, data warehousing, data product management
Proficient in mainstream data analysis tools
Excellent communication skills and ability to influence others.
Strong analytical and problem-solving skills
Strong team player with curious and research oriented mindset to explore and tackle business problems with HR data
Attn: Kay Kwok
By submitting any application or résumé to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.
We regret to inform you that only shortlisted candidates will be notified. All applications will be treated with the strictest confidence
Elitez Pte Ltd | EA Licence: 16C8004| Kwok Kia Wei | Registration No: R2110176
Contract HR Data Analyst (Till Feb 2025) @ Raffles Place #SJN
Full-time
Full-time
Others/Any
Singapore, Singapore
Human Resources
9 months ago
Job Responsibilities:
- Cultivate strong relationships with stakeholders to uncover opportunities to leverage data and enable the successful delivery ..
Job Responsibilities:
- Cultivate strong relationships with stakeholders to uncover opportunities to leverage data and enable the successful delivery of reports, dashboards & analytics
- Establish and iterate our HR analytics approach to business problems via advanced analysis and understanding the data infrastructure and products
- Interpret and present data insights to stakeholders to drive data-informed business decisions
- Lead HR data and metrics projects to create impactful measures and indicators for organization improvement and optimization
- Design and develop data models to support forward looking HR initiatives with predictive analytics to forecast, evaluate and analyze various business problems and objectives
- Establish a scientific and systematic analysis model and methodology by combining market research, data and theory for high impact HR analysis
Job Requirements:
- Minimum 2-3 years of HR & Data Analyst experience
- Possess working knowledge in SQL, Tableau, Python, Qlikview, Power BI
- Keen eye for detail
To apply, please email your resume in MS Word format to [email protected] indicating in your CV the following information:
Expected Salary:
Notice Required:
Reason for Leaving:
Clinical Research Coordinator - Govt/ Polyclinic (Entry level) #HZO
Full-time
Full-time
Fresh/Entry Level
Singapore, Singapore
Education / Training
9 months ago
Salary: $1360/ month
Working Hours: (Mon, Tues, Thurs Fri 8am - 5pm) + Sat (half day basis if needed)
Duration: Till Jul 2024
Location: East/ North ..
Salary: $1360/ month
Working Hours: (Mon, Tues, Thurs Fri 8am - 5pm) + Sat (half day basis if needed)
Duration: Till Jul 2024
Location: East/ North East
Job Scope:
- Handling enquiries from interested study participants (parents), assist to prepare prior to, during and post-study participant visits, data entry/management, coordinate/schedule participant visits, daily operational duties etc.
- Research study will be centred around children/ kids.
Job Requirements:
- Min. A level/ Diploma in any field
- Keen in Psychology/ science field
For interested applicants, please send your updated resume to: [email protected]
All candidates’ information will be treated with the strictest confidence
My asset managment client is looking for a reference data operations manager to join their team. If keen kindly share your updated resume to malvika@k..
My asset managment client is looking for a reference data operations manager to join their team. If keen kindly share your updated resume to [email protected]
KEY ACCOUNTABILITIES
The Data Operations team is responsible for providing data quality assurance for multiple datasets including pricing, securities and reference data, benchmarks, portfolios and fund.
The role sits in the Investment and Asset Data Support team, responsible for the stewardship and reporting of Asset data that resides in the Asset Data Store (ADS) and manage Data Quality exceptions in Data Management Platform (DMP) an ensuring the data is complete, consistent, fit for purpose and ready for consumption for all end users.
The daily review and validation of daily Security Master Reference data in internal DMP system and resolve exceptions in timely manner.
Resolution of exceptions to ensure data integrity.
Managing and monitoring controls to ensure data quality and consistency.
Resolving data issues highlighted as part of data validation process and manage escalations.
ASSET DATA REPORTING:
Perform monthly, quarterly, semi-annual, and annual reporting for Major Life client on monthly basis in timely manner.
Sourcing and onboarding of new market data required for reporting.
Ensure data used for Reporting is clean, validated and fit for reporting.
Work closely with stakeholders on reporting issues and resolve in timely manner without impact to reporting timelines.
Publish PowerBI reports to various stakeholders with clean data for reporting consumption.
Engage with IT Support and Development teams on the issues encountered during reporting cycle and resolve in timely manner.
ADDITIONAL RESPONSIBILITIES:
Continuous updates of standard operating procedures along with the new changes and projects
Identify and execute continuous process improvement and automation.
Support projects and ad-hoc queries
EXPERIENCE / QUALIFICATIONS
An excellent understanding of a wide range of tradable instruments
Strong analytical and communication skills
Data management experience in large banking institution especially financial services sector, preferably in Asset Management
Prior experience using investment platforms, like GoldenSource is desirable.
Knowledge of SQL, PowerBI, Python language skills is a plus.
Prior experience in doing asset data reporting for clients with Instrument Reference data and Positions.
Understanding of the data management governance frameworks
Working knowledge of data vendor systems such as Bloomberg, Reuters, S&P, etc.
Excellent customer focus and high level of accuracy, and attention to detail
Demonstrated ability to work collaboratively as part of the small team.
GENERAL CANDIDATE ATTRIBUTES
A deep understanding of asset management enterprise data, its associated processes, systems, controls and deliverables.
A strong ability to be hands on yet has a holistic strategic vision on data management.
[What the role is]As a Lecturer, your contributions go beyond teaching and facilitating learning. You will play a critical role in recognising and nur..
[What the role is] As a Lecturer, your contributions go beyond teaching and facilitating learning. You will play a critical role in recognising and nurturing your students’ potential and their lifelong learning needs.
[What you will be working on]
In addition to your teaching duties, you will carry out industry or consultancy projects to help you remain relevant in your profession and to evolving changes in industry, and maintain strong linkages with industry and schools. You will also have the opportunity to have industry attachments or experience on a regular basis to update your skills, knowledge and practices of your profession.
[What we are looking for]
You should have at least 3 years of relevant experience in big data, data analytics, and with experience in web development.
You should also be motivated to work with youths to develop them in the area of data engineering and data analytics.
You should also possess the following skills: - Experience working on relational SQL databases - Ability to write, analyse, and debug SQL queries. - Experience with Data Warehousing, ETL (Extraction, Transformation & Load) - Experience in statistical data analysis and data mining packages (Python, R) - Hands-on experience in Python/R in production environments. - Experience in TIBCO Spotfire, Alteryx, Power BI or similar tools. - Experience with machine learning algorithms
Those with good and relevant experience can look forward to Senior Lecturer or equivalent positions, with career development opportunities to leadership positions in the Colleges or Headquarters.
Applicants may check their application status at the end of 8 weeks from the closing date of this job posting.
[What your role is]Responsible to analyse grants’/business operations’ data and perform analytical review to evaluate/review variances, anomalies,..
[What your role is]
Responsible to analyse grants’/business operations’ data and perform analytical review to evaluate/review variances, anomalies, trends and new insights, and enabling business divisions to leverage statistical methods to detect variations and areas that require further investigation.
[What you will be working on]
Responsibilities
Obtain and review the consolidated data structure/s for programme/s and develop suitable analytic strategies to ensure the achievement of expected deliverables.
Lead and conduct data analysis and data mapping, where appropriate, to identify any unusual trends, anomalies, behaviour etc.
Conduct analytical review of the identified variances, trends, anomalies, behaviours etc.
Conduct deep dive review into the identified trend and behaviour to further review for specific indications of non-compliances and/or potential suspected fraud.
Develop suitable data review processes that can assist business divisions in the upstream early detection of potential issues in the grants administration and processing.
Coordinate with relevant business divisions on referral cases of potential suspected fraud for further inquiry and investigations by IAU
Timely management and maintenance of WSG blacklist listing
[What we are looking for]
Requirements
Ability to review complex dataset and develop suitable data review strategies to achieve the objectives of data analysis deliverables
Experienced in using analytical formulas and functions for MS Excel and other analytical tools, such as data visualization, as well as experience in simple data cleaning
Experience and knowledge in conducting analytical review and/or business operation reviews is essential
Critical thinking and problem-solving skills – ability to understand beyond the numbers and its implications
Excellent communication & presentation skills and inter-personal skills to engage relevant stakeholders
A team player with good inter-personal skills
Driven, meticulous and able to multi-task and work independently
Good system and processes development acumen. Knowledge related to financial and auditing concepts, accounting principles are an added advantage.
Ability to lead and motivate team to achieve the set outcomes; inspire and guide teams to grow and mentor them
All applicants will be notified on whether they are shortlisted or not within 4 weeks of the closing date of this job posting.
Human Resource Data Specialist (Banking | Contract | 12 Months)
Full-time
Full-time
Others/Any
Singapore, Singapore
Human Resources
9 months ago
Position: Human Resource Data Specialist
Location: Raffles
Salary: Up to $5400 + 1 Month Completion Bonus
Job Responsibilities:
Conduct and suppor..
Position: Human Resource Data Specialist
Location: Raffles
Salary: Up to $5400 + 1 Month Completion Bonus
Job Responsibilities:
Conduct and support comprehensive HR data mapping analysis between existing HR systems and the target system, working closely with the project team.
Collaborate with HR and IT teams to understand data requirements, ensuring accurate and efficient data migration processes.
Lead data transformation efforts with HR teams to ensure data integrity, consistency, and compliance with organizational and project standards.
Develop and maintain documentation for data mapping, transformation rules, and migration processes in collaboration with the project team.
Work with IT teams to optimize data extraction, transformation, and loading (ETL) processes for efficiency and performance.
Establish and implement quality assurance measures to validate data accuracy and completeness post-migration.
Provide support to HR teams on data transformation procedures.
Job Requirements:
Minimum of 7 years of experience in HR analytics, HRIS, HR software, or HR records and documentation management.
In-depth understanding of HR data structures, processes, and compliance requirements.
Proven experience in data migration and participation in new HR system rollout projects is advantageous.
Demonstrated ability to collaborate effectively with diverse HR and IT stakeholders.
Strong analytical and problem-solving skills, with the ability to derive valuable insights from HR data.
Detail-oriented and capable of managing multiple priorities in a fast-paced environment.
Familiarity with relevant regulations and industry best practices in HR data management.
Attention to: Hailey
By submitting any application or résumé to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.
We regret to inform you that only shortlisted candidates will be notified. All applications will be treated with the strictest confidence.
Elitez Pte Ltd | EA Licence: 16C8004| Hailey YANG | Registration No: R1876431
Position Type: Contract deputed to Client | Work Location: East
Responsibilities
1. Possess good knowledge of data centre operation tasks and duties...
Position Type: Contract deputed to Client | Work Location: East
Responsibilities
1. Possess good knowledge of data centre operation tasks and duties.
2. Liaise with DC/Building landlord to ensure optimal operation of electricity, HVAC and monitoring environments within Mission Critical IT facilities in Data Centre and remote buildings.
3. Strong ability to support activities in data centre and computer rooms
4. Ensure data centre physical security procedures are followed strictly.
5. Prompt escalation of incidents following the standard incident response procedure & track till closure
6. To generate reports to management
Requirements
Experience working in a high-pressured environment with 24x7 on-call responsibilities
Strong understanding of incident, problem and change management procedures based on ITIL best practices
Experienced in supporting Data Centre vendors, out-sourcing vendors.
Ability to multi-task and proficient in Microsoft Office applications; Excel & PowerPoint
Good written and verbal communication skills
Highly motivated and self-driven
An analytical and inquiring mind to derive innovative solutions.
Ability to work independently and in a team
Must have experience working in data centre operations in financial institutions.
Familiarity with equipment requirements in Data Centre such as storage, servers and networking equipment such as routers, switches is a plus.
Familiar with Structured Cabling system and its related components.
My client is a Singapore-based proprietary trading company. They are looking for a Data Engineer with 2-5years of working experience.
Responsibilitie..
My client is a Singapore-based proprietary trading company. They are looking for a Data Engineer with 2-5years of working experience.
Responsibilities:
Implement, monitor, and maintain data pipelines for market, transaction, reference, and other data.
Perform necessary data cleansing and transformation to enhance data quality.
Collaborate with traders and researchers for efficient data consumption and analysis.
Deploy new data models for insightful and actionable analytics across the firm.
Manage the entire data processing system and advise on necessary infrastructure changes.
Attributes:
Clear thinking, quick learning, problem-solving ability, and adept at working independently.
Effective communication and a propensity for asking insightful questions.
Development experience in multiple programming languages, preferably diverse types (e.g., strongly versus dynamically typed, functional versus object-oriented).
Familiarity with software development practices and excellent teamwork skills.
Part of a growing compliance department in the Fintech industry.
6 Months Convertible Contract
About Our Client
Our client is a Singapore-based ..
Part of a growing compliance department in the Fintech industry.
6 Months Convertible Contract
About Our Client
Our client is a Singapore-based remittance payment service company connected to financial institutions and banks around the world. They enable users to take charge of their digital financial services by simplifying transaction services through their product designs and innovation.
Job Description
The compliance team is responsible for preventing, managing and mitigating the financial crime risks, that may occur through the payments we process, for our global customers or the products and services our business provides. Our goal is to be a trusted defence control function, in-order to protect the company from financial crime risks.
Responsible for compliance & AML risk identification at stages of the customer onboarding and transaction journey.
Surveillance of transactions on an ongoing basis pre and post-transaction.
Investigate escalations on unusual transactions.
Timely reporting of AML risks
Updating of compliance policies and procedures.
To provide ML/TF preventive training and keeping of training records.
Filing of Suspicious Transaction Reports to the relevant Authorities.
The Successful Applicant
Degree holder with strong interest in compliance
Strong attention to details, research, and investigation skills
Talent Consultant (Entry level, Training provided)
Full-time
Full-time
Fresh/Entry Level
Singapore, Singapore
Human Resources
9 months ago
We are a centrally located boutique recruitment firm experiencing strong growth. As the company scales, we are looking to bring on a Talent Consultant..
We are a centrally located boutique recruitment firm experiencing strong growth. As the company scales, we are looking to bring on a Talent Consultant who can help support us through the next phase of the growth and development roadmap.
Job Highlights:
• Junior/ Entry (No experience required - Training Provided)
• Senior level positions from various sectors are available
• Stable Basic Salary + Attractive Incentives
• Convenient location (5 minute to Tanjong Pagar MRT)
• Abundant personal growth and progression opportunities
Overview
Drives Data and Artificial Intelligence consumption with new and existing customers. Identifies market and customer needs and collaborates wi..
Overview
Drives Data and Artificial Intelligence consumption with new and existing customers. Identifies market and customer needs and collaborates with internal teams to devise solutions to meet those needs. Orchestrates deals across multiple stakeholder groups including partners. Positions Microsoft solutions in competitive landscape through research and collaboration. Utilizes industry expertise to differentiate Microsoft solutions. Develops and manages pipeline for territory and forecasts resource needs. Meets with customers on site to deepen relationships and solution development.
Responsibilities
Sales Execution
· Brings impactful industry insights into customer engagements and closes deals with customers. Acts as a thought leader across solution areas to advise customers across business functions on digital transformation. Leads virtual transformational shifts to drive deployment and create business value for customers. May lead partner integration into account/territory planning and customer engagements. Provides thought leadership.
· Orchestrates with team members on conducting personal campaigns to discover new opportunities and generate new leads. Lads conversations with strategic/high-potential customers (e.g., high budget, global account, highly competitive) along with account teams or partners. Facilitates the account team unit (ATU) and/or Specialist Team Unit (STU) to build pipeline in collaboration with partners and services. Guides others on social selling. Applies Microsoft's sales process (MSP) to determine the quality of the opportunity and whether to proceed, and educate the customers on how to best address their needs.
· Drives consumption and grow business with existing strategic customers by initiating conversations, guiding others on demos or quotes, and the collaboration with partners or internal teams (e.g., Technical Sales Professionals, Global Black Belts). For licensing transactions and project engagements, ensures rapid and robust deployment plan at point of sale that is validated by services and partners. Drives advanced workloads and usage.
· Explores and assesses the needs of strategic/high-potential customers. Articulates business value and long-term implications for customer business. Collaborates with internal teams, partners, and services to lead the proposal or development of solutions that align with customer and Microsoft priorities. Analyzes market trends to identify opportunities for new solutions.
. Proactively builds and governs external stakeholder network and leverages internal partners to engage external stakeholders. Acts as a thought leader and subject matter advisor to the executive-level business decision makers at the customer's/partner's business. Guides others on identifying and engaging decision makers and stakeholders to expand the relationship with customers/partners.
· Develops strategies for driving and closing strategic and/or prioritized opportunities. Collaborates with account teams to ensure alignment with the account strategy and plan. Leads deal execution with the deal teams across the organization. Coaches others on the implementation of close plans (e.g., how to map timeline, engage the customer, get customer buy-in and commitment) to de-risk and drive predictable deal closure.
Scaling and Collaboration
· Leads the planning and execution on opportunities with resources and partners to cross-sell and up-sell. Identifies, leverages, and coordinates partners and resources across solution areas. Validates partner solution relevance for customers. Provides input and feedback to One Commercial Partner (OCP) on developing partner strategies and connects the partner ecosystems to scale business results.
· Leads the sales orchestration with internal stakeholders and partners (e.g., Enterprise Operating Unit). Applies a holistic approach to build network across territories. Positions opportunities to promote collaboration and participation.
Technical Expertise
· Leads conversations and sets up events within Microsoft. Mentors others and develops strategies for best practice sharing across subsidiaries. Contributes ideas that can be instituted across Microsoft.
· Posts information or speaks at external events, drives conversations with prospective customers/partners as a thought leader across solution areas.
· Leverages and shares competitor knowledge across solution areas as a subject matter expert to inform decisions on pursuit or withdrawal. Collaborates with the 'compete' global black belts (GBB) to proactively provide analysis of the competitive landscape in supported solution area. Leads the communication to provide feedback to other teams (e.g., sales, marketing, engineering) on future product trends or sales blocker.
Sales Excellence
· Builds and transforms new markets by leveraging technical and industry expertise, partners, and resources. Leads a team to explore business and emerging opportunities to optimize the portfolio and facilitate customer innovation.
· Reviews feedback report and sets long-term strategies aimed at maintaining levels of client satisfaction. Coaches others on ensuring customer/partner satisfaction and decreasing dissatisfaction by establishing recovery action plans to improve clients' overall experience. Manages and/or orchestrates sales and delivery success through the account team and pursuit team.
· Engages with internal and external stakeholders on business planning, Rhythm of Business (ROB) meetings to review and plan for strategic accounts across territories.
· Collaborates with extended sales team, partners, and marketing to lead business analysis (e.g., whitespace analysis, identify industry trends) to pursue high-potential customers and develop a target list of potential business. Acts as a thought leader and clears opinions and perspectives from business analysis.
· Manages the end-to-end business for strategic accounts across the organization. Leads forecasting for accounts and develops a portfolio and territory plan to drive intentional selling with on-strategy engagements in high propensity accounts. Mentors less experienced team members.
· Completes required training and obtains relevant product and role certifications aligned to the role and workload/industry. Proactively seeks training, including information that adds to the understanding of customers' business, and shares it with team members.
Embody Microsoft culture and values
Qualifications
Required/Minimum Qualifications
· 7+ years technology-related sales or account management experience
o OR Bachelor's Degree in Computer Science, Information Technology, Business Administration, or related field AND 6+ years technology-related sales or account management experience.
Additional or Preferred Qualifications
· 9+ years technology-related sales or account management experience
o OR Bachelor's Degree in Information Technology, or related field AND 8+ years technology-related sales or account management experience
o OR Master's Degree in Business Administration (i.e., MBA), Information Technology, or related field AND 5+ years technology-related sales or account management experience.
As a Senior Manager, Technical Solutions, you will be responsible for developing and managing technical solutions in Data Centre Engineering projects ..
As a Senior Manager, Technical Solutions, you will be responsible for developing and managing technical solutions in Data Centre Engineering projects from inception to completion, developing pre-sales solutions by coordinating closely with the Commercial team and/or wider KDCH teams, and working with various investment stakeholders to assess feasibility of Pre-deals. You will work with both internal and external stakeholders to ensure that the job responsibilities are completed with a viable technical and budget proposals within time limits. You will coordinate with the Project Management team and provide Project Management inputs and considerations across your job responsibilities. You may be expected to travel for work to support your projects and customers when required.
To be familiar with the design and construction of Data Centres, and working with knowledge of all technical disciplines, typical customer requirements and standard Basis of Design
As the Mechanical Specialist of DC&N Technical Solutions team, to be responsible for constant review and update to the Basis of Design
Execute the technical qualification, planning and development of technical solution for prospective deals as the Technical Solutions Head of Department shall direct. Manage and generate technical solution, project cost and planning structure for prospective deal engagements and investment approval
Provide project scheduling and construction process assessment for all technical solutions, pre-projects, pre-deals and pre-sales solution, and perform necessary organization and handover documentations to the Project team for delivery, and provide necessary support and follow up where required
Coordinate and obtain inputs from Technical Solutions, Project Management, Operations, Consultants, Contractors and vendors etc. to develop a viable Technical Solutions, Pre-Sales Solutions or Pre-Deal responses to various relevant stakeholders
Work with Asset Owners, Sales and Commercial, Asset Management, and Investments Teams to determine the Project budget proposal with adjustments to the Overall Project Budget and Investments Returns, while ensuring coordination with the Project Construction Costs and Design
Obtain proposals, select, and appoint consultants to develop design and cost estimate. Thereafter, manage selected consultant team for awarded scope of works
Engagement with Statutory Authorities and Safety Matters
Support project team to execute projects’ quotation and/or tendering process for the various packages such as project consultancy, contractors, nominated sub-contractors, vendors, suppliers, etc in accordance with the inputs provided during the various technical solutions, pre-sales and pre-deal phases of work
Organize and conduct regular separate and/or combined meetings with Clients, Asset Owners, appointed consultant, contractors, vendors, etc to address all technical related matters during pre-project and during engineering project execution
Technical Solutions management and track progress of solutions development and project cost against the approved schedule during pre-project investment approval and design phases
Technical solutions report including solution development and its corresponding risks and mitigation, compliance to the Customer and/or industry standards, project cost estimation and its corresponding validation and risks, etc. for investment approval
Technical solutions and Pre-Sales support to project team during project execution
Work closely with Client, Asset Owner and Operation team on any technical issues arising from pre-project stage, project execution stage and support the project team for timely handover to Client, Asset Owner and Operation team respectively
Any other scopes as directed by the Technical Solutions Head of Department
Job Requirements
Master’s or Bachelor’s degree in Mechanical Engineering or equivalent
Minimum 10 years of professional experience in Data Centre or equivalent design and construction work etc
Good knowledge of variable design standards, including BICSI, TIA, Uptime Institute Tier Standard, etc
Ability carry out technical solution discussions effectively with multi-function teams
Good problem-solving, communication and interpersonal skills with high resilience and drive in achieving objectives and goals. High desire for innovation and learning
Excellent verbal and written communications skills in English
Relevant experience in a multi-cultural work environment fostering a climate of teamwork and collaboration
Job Description: Senior Data EngineerPosition Overview: We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team...
Job Description: Senior Data Engineer
Position Overview: We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. The Senior Data Engineer will be responsible for designing, implementing, and maintaining scalable data pipelines and infrastructure to support our organization's data needs. The ideal candidate will have a strong background in data engineering, expertise in various data technologies, and a passion for building robust and efficient data solutions.
Key Responsibilities:
Design, develop, and maintain data pipelines and ETL processes to ingest, process, and transform large volumes of structured and unstructured data from multiple sources.
Collaborate with cross-functional teams including data scientists, analysts, and software engineers to understand data requirements and implement solutions that meet business needs.
Optimize and tune data pipelines and workflows for performance, scalability, and reliability.
Implement data governance processes and ensure data quality and integrity throughout the data lifecycle.
Design and maintain data warehouse and data lake architectures to store and organize data for analytics and reporting purposes.
Research and evaluate new technologies and tools to enhance our data infrastructure and capabilities.
Provide technical leadership and mentorship to junior members of the data engineering team.
Collaborate with infrastructure and DevOps teams to deploy and manage data solutions in cloud-based environments.
Develop and maintain documentation for data pipelines, systems, and processes.
Stay current with industry trends and best practices in data engineering and apply them to improve our data ecosystem.
Qualifications:
Bachelor's degree or higher in Computer Science, Engineering, or a related field.
X+ years of experience in data engineering, with a proven track record of designing and implementing complex data solutions.
Proficiency in programming languages such as Python, Java, or Scala, and experience with data processing frameworks like Apache Spark or Apache Flink.
Strong experience with distributed data storage and processing technologies such as Hadoop, Apache Kafka, Apache HBase, or similar.
Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, and familiarity with related services such as AWS EMR, S3, Glue, or Azure Data Factory.
Experience with SQL and relational databases (e.g., PostgreSQL, MySQL) as well as NoSQL databases (e.g., MongoDB, Cassandra).
Solid understanding of data modeling concepts and proficiency in designing efficient data schemas.
Excellent problem-solving skills and the ability to troubleshoot complex data issues.
Strong communication and collaboration skills, with the ability to work effectively in a team environment.
Experience with Agile development methodologies and tools like JIRA is a plus.
This job description outlines the primary responsibilities and qualifications for the Senior Data Engineer role. Candidates should possess a combination of technical expertise, analytical skills, and teamwork abilities to excel in this position.
The Data Operations team is responsible for providing data quality assurance for multiple datasets including pricing, securities and reference data, benchmarks, portfolios and fund.