Total 8 Director/C-Level science job vacancies in D21 Upper Bukit Timah, Clementi Park, Ulu Pandan

Job Responsibilites

• Assist the Managing Director in defining and implementing strategy and objectives, ensuring quality and timely service delivery to all clients.
• Aid the Managing Director with procurement and logistics operations activities, including strategic, tactical, business development, and personnel matters.
• Organize, lead, and manage the Supply Chain Operations team in compliance with policies, standard operating procedures, and work instructions.
• Oversee management and monitoring of KPIs through the performance management unit.
• Lead the identification and timely implementation of continuous improvement processes and opportunities within the Operations team, in coordination with other departments, ensuring the use of adequate tools and systems.
• Apply a structured methodology and lead change management activities across supply chain operations.
• Serve as a key liaison with clients on procurement, fulfillment, and logistics issues.
• Provide regular progress and status reports.
• Support the Managing Director in fostering and maintaining the organizational culture.
• Represent supply chain operations to clients and partners, including participating in vendor meetings regarding general operations.
• Proactively lead and empower the supply chain operations managers to promote operational excellence, collaboration, and continuous improvement.

Job Requirements

• Degree holder
• Minimum 10 years of relevant experience in Supply Chain
• Possess relevant experience related in pharmaceutical/Lifescience industry
• Strong in managing operations and all level stakeholders

Interested candidates who wish to apply for the advertised position, please click on “Apply”. We regret that only shortlisted candidates will be notified.

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You Lead the Way. We’ve Got Your Back.
With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

If you have a strong will to learn and educate, as well as are motivated by the opportunity to help grow our team and be a part of an industry-leading technology and innovation organization, then look no further! This is an opportunity to use Data Science, A.I./Machine Learning, and Technology skills to solve very interesting problems that directly and greatly impact millions of individuals worldwide.

Join Team Amex and let's lead the way together.

If you have a strong will to learn and educate, as well as are motivated by the opportunity to help grow our team and be a part of an industry-leading technology and innovation organization, then look no further! This is an opportunity to use Data Science, A.I./Machine Learning, and Technology skills to solve very interesting problems that directly and greatly impact millions of individuals worldwide.

You will be leading an energetic A.I./Machine Learning cross-functional team, collaborating with various business/product partners (e.g. Credit, Fraud, Risk, Web, Mobile, Marketing, Enterprise Automation, etc.) to drive a cohesive set of solutions enabling the ever-growing strategic capabilities in the AI field.

This role within American Express Technology (AET), will report into the Vice President, Enterprise Services Decision Science Center of Excellence (CoE).

Responsibilities:

• Drive AI and decision science vision, strategy, and execution across the organization
• Combine A.I./Machine Learning and Technology knowledge to implement highly scalable solutions to solve real-world problems in areas such as Generative AI, Personalization, Image Recognition, Speech Recognition, Natural Language Processing, Best Next Action, and Time Series predictions
• Research latest related academic papers and test nascent ideas which can potentially solve new business problems and enhance existing solutions.
• Responsible for developing and defining deployment strategies for production quality AI solutions in Cloud infrastructure at scale
• Drive both high-level and detailed technical designs and conduct design reviews as needed
• Responsible for health and quality of the code across the portfolio, including leadership over innovation, functional testing, and CI/CD tool integration
• Provide technical mentorship to team members at all levels
• Actively participate in business and technical discussions and forums across Amex

Qualifications:

• Master’s Degree in Computer Science, Computer Engineering, Information Systems, or related STEM fields. PhD degree preferred.
• Proven track record on producing outstanding research results (Journal and/or Conference publications, and patterns) is a must.
• Ability to convey complex, technical subject matter in a clear and straightforward manner; demonstrated ability to effectively communicate through written and oral presentations with all levels of the organization
• Solid project management skills with the ability to juggle multiple priorities simultaneously in a fast-paced environment
• 8+ years full lifecycle product development and engineering leadership in highly available, highly scalable, high throughput systems
• 8+ years of experience in building and delivering sophisticated solutions that leverage various AI solutions, machine learning algorithms or technologies and are able to scale optimally
• Hands-on Experience with GCP and/or AWS is a plus.

Expert in at least one of the following fields:

• Generative AI
• Machine Learning
• Deep Learning
• Reinforcement Learning
• Natural Language Processing
• Optimization
• Probabilistic Inference
• Information Retrieval
• Recommendation Systems
• Bayesian Inference
• Advanced time series forecasting

Hands-on Experience with most of the following open-source solutions:

• Orchestrate: Airflow, Kubeflow Pipelines, ML Run
• Container: Docker, Kubernetes, Mesos + Marathon
• Model Serving: Kubeflow KF Serving, TF Serving, Seldon-Core, MLflow
• Observability: Prometheus, Grafana, Elasticsearch

Development:

• Programming Language: Python, Java, Scala, Julia
• IDE: Notebooks, PyCharm, VS Studio
• Machine Learning: TensorFlow, Keras, ScikitLearn, H20.ai, XGBoost, MXNet
• Feature Store: Hopsworks, Feast, or other purposed built Feature Store
• Model Format: ONNX, PMML

We are looking for an experienced Food Science and Innovation Director with passion for food, people and innovation, who can generate and manage major innovation projects.

This critical role oversees the development of innovative products from conceptualization to commercial launch. They oversee all aspects of the NPD process including identifying market trends and opportunities, managing projects and teams, developing intellectual property, bringing new products and services to market, and evaluating opportunities for licensing or acquisition.

Accountabilities:

• Managing the end-to-end NPD process including prototyping, sensory testing, and process scaling
• Partnering with leading global food companies on co development of innovating new products that unlock consumer demand
• Driving cross-functional NPD projects in partnership with representatives from marketing, manufacturing, quality assurance, procurement, and finance
• Monitoring food science and nutrition trends, ingredients innovations, and emerging technologies for product development opportunities
• Ensuring NPD portfolio delivers on revenue growth, margin, and launch timing goals.
• Protecting intellectual property related to proprietary ingredients, product formulations, and process technologies.
• Building partnerships with universities, research institutes, and other companies

Minimum Skills Required:

• 10+ years of management experience directing food product development projects that have successfully launched into retail or foodservice markets.
• Advanced degree in food science or technology
• Supervisory/managerial experience required.
• Familiarity with food science equipment required.
• Project Management experience required.
• Experience with consumer insights, culinary innovation, and nutrition.
• Successful track record developing and implementing category growth strategies
• Strong leadership, communication, presentation, and interpersonal skills
• Ability to simplify complex ideas and present strategic recommendations.
• Knowledge of alternative protein industry including supply chain and pricing dynamics
• Required To Travel: up to 25% of time

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

The mission of the Centre is to improve population health and well-being by accelerating the use of behavioural and implementation science in health policy and practice.

We are looking for an individual who is passionate about improving health and well-being for everyone, through approaches that bridge research, community and government.

Responsibilities include:

• Work hand-in-hand with Directors, Principal Investigators and Visiting Professors, to develop strategy that meets overall research, translation, implementation and education objectives of the Centre.
• Establish an independent research agenda through collaborations with health institutions, government agencies and private sector through internal or extramural funding
• Represent a core part of the leadership team for programs on public policy and research implementation and for outreach to professional bodies
• Oversee implementation of education activities of the Centre for Behavioural and Implementation Science Interventions (BISI) under NUSMed.
• Oversee research and education staff supervision and mentorship

Qualifications

• An advanced degree in behavioral science, Biomedical science, psychology and other related disciplines
• At least 8 years working experience, with 3 – 5 years of this time previously committed to work in the science or health sector interface with policy, implementation, public administration and government.
• Prior demonstrated leadership and managerial expertise is essential, as this role requires the candidate to build team capacity and expertise in a growing field
• Excellent written and verbal communication skills in English
• Ability to manage multiple, diverse stakeholders, and communicate effectively
• An analytical mind with experience in program design and management (e.g. assessing evidence, proposals) in the public sector, and the ability to package and communicate information effectively

JOB DESCRIPTION

The Science and Engineering Research (SER) Directorate is looking to hire a resourceful and motivated individual, who is passionate about supporting the delivery of impactful outcomes through Science and Technology, under the Research, Innovation and Enterprise (RIE) 2025 plan. The SER Directorate is the nexus of policy, corporate reporting and economic analysis to ensure that SERC delivers on its strategic thrusts of value-creation and socioeconomic impact to Singapore. You will work closely with key stakeholders internally and externally to achieve the outcomes of various programmes, and develop a deep understanding of R&D policies and their wider impact on the research ecosystem in Singapore. You will acquire skills in interpreting data to develop policies, as well as develop deeper organisational awareness. The ability to be agile and thrive in a changing work environment is a must!

As an officer in RPP/A&O, your key areas of work would include the following:

Resource and Performance Monitoring

1. Support Science and Engineering Research Council (SERC) senior management in the governance and allocation of resources;

2. Synthesise data and develop recommendations to support executive decision making;

3. Support the review and improvement of SERC strategy, operations and processes, including the improvement of SERC investments and activities;

4. Develop specific measures of success with relevant experts;

5. Conduct financial modelling and monitor budgets for SERC entities;

6. Analyse and track performance of SERC entities in response to overall strategies.

Corporate Planning

7. Support SERC senior management in key meeting platforms and monitor strategic and management issues across SERC;

8. Organise events for SERC management for business reviews, and charting of strategic directions for SERC entities.

Job Requirements

9. Relevant working experience in the public sector, strategic and/or corporate planning would be an advantage

10. Bachelor's degree or equivalent qualification, preferably in Science, Technology, Engineering, Mathematics (STEM), or Business.

11. Ability to translate concepts into implementation plans

12. Excellent communication (verbal and written) and interpersonal skills

13. Proficient in Microsoft Office (Powerpoint, Word, Excel and Power BI or equivalent)

14. Strong strategic and analytical thinking skills

15. Resourceful and motivated

16. Pro-active, quality conscious, attentive to detail and result-oriented

17. High learning agility and adaptability

18. Able to work independently and in a team to deliver results under tight timelines

The Science and Engineering Research (SER) Directorate is looking to hire a resourceful and motivated individual, who is passionate about supporting the delivery of impactful outcomes through Science and Technology, under the Research, Innovation and Enterprise (RIE) 2025 plan. The Strategic Planning unit is the nexus of policy, corporate reporting and economic analysis to ensure that SERC delivers on its strategic thrusts of value-creation and socioeconomic impact to Singapore. You will work closely with key stakeholders internally and externally to achieve the outcomes of various programmes, and develop a deep understanding of R&D policies and their wider impact on the research ecosystem in Singapore. You will acquire skills in interpreting data to develop policies, as well as develop deeper organisational awareness. The ability to be agile and thrive in a changing work environment is a must!

As a Senior Manager/Manager of Strategic Planning, your key areas of work would include the following:

Resource and Performance Monitoring

1. Support Science and Engineering Research Council (SERC)'s senior management in the governance and allocation of resources;

2. Synthesise data and develop recommendations to support executive decision making;

3. Support the constant review and improvement of SERC's strategy, operations and processes, including the improvement of SERC's investments and activities;

4. Develop specific measures of success with relevant experts;

5. Conduct financial modelling and monitor budgets for SERC entities;

6. Analyse and track performance of SERC entities in response to overall strategies.

Corporate Planning

7. Support SERC's senior management in key meeting platforms and monitor strategic and management issues across SERC;

8. Organise events for SERC's management for business reviews, and charting of strategic directions for SERC entities.

Job Requirements

9. Relevant working experience in the public sector, strategic and/or corporate planning would be an advantage

10. Ability to translate concepts into implementation plans

11. Excellent communication (verbal and written) and interpersonal skills

12. Proficient in Microsoft Office (Powerpoint, Words, Excel and Power BI or equivalent)

13. Strong strategic and analytical thinking skills

14. Resourceful and motivated

15. Pro-active, quality conscious, attentive to details and result-oriented

16. High learning agility and adaptability

17. Able to work independently and in a team to deliver results under tight timelines

Data Science & AI Director

Location: West

Working Hours: Monday - Thursday (8.30AM - 6.00PM), Friday (8.30AM - 5.30PM)

This incumbent is responsible to lead in the research & development, strategy, architecting, planning and delivery of data science capabilities (e.g. Artificial Intelligence Engineering, Data Engineering, Cognitive Computing and Decision Science), to transform and support the organisation’s overall sense making capabilities.

Responsibilities:

(1) Support the organisation’s transformation into a data-driven organisation by charting the strategic directions to design, develop and deliver Data and Analytics capabilities that includes:

• Transform the team to deliver next-generation data and analytics capabilities that support rapid on-boarding of data sources, high-scalable architecture that empower both employees and data scientist to self-serve to a suite of data products, ranging from data-self-serve to analytics-as-a-service.
• Develop organic Data Engineers for improved data management, to ingest data, design and architect data pipelines, data architectures for different data consumer groups.
• Develop organic Data team to exploit all data to harness new insights and support better sense making capabilities.
• Develop roadmaps to deliver cutting-edge sense making capabilities that harness all data types such as high velocity, structured, unstructured, images, videos, geo-location, signal, etc.
• Drive data analytics and AI/ML models for big data analytics, and advance dashboarding for data and insights visualisation, including GIS and LLM/GenAI technology.
• Guide new data-driven approaches for the purpose of generating operational insights that address operational challenges in a proactive manner.
• Collaborations with partners and stakeholders to research in advance AI/ML model to solve complex and/or wicked problem statements beyond Data Science, when no readily available solution can be found in the market.
• Proliferate and upskill Data Science competencies within organisation, including supporting relevant training to upskill data analysis/data science proficiency levels.

(2) Ensure timely delivery and implementation of the enterprise data and sense making projects that include data architectures (ingestion, storage, acquisition, validation), data exchanges, big data analytics platforms, user data and analytics systems.

(3) Lead strategic discussions with senior management and key stakeholders to ensure successful delivery of projects and capabilities.

(4) Act as the organisation’s Chief Data Officer and drive the following initiatives:

• Work with governance units to ensure data security governance complies with the prevailing policies and addresses all matters relating to data governance and solutions required to ensure secured, timely and efficient delivery of data to the respective stakeholders.
• Drive the management, use and sharing of data in a secure manner, and plug any gaps to comply with organisation guidelines.
• Define the organisation’s data strategy, goals, polices and management of organisation’s data assets, and coordinate returns for organisation’s indices.
• Raise the staff’s awareness on data policies, procedures and promote culture of data privacy and security.
• Drive data analytics adoption within the organisation and promote data-driven business decisions.

(5) Work with users to identify appropriate Data Science solutions to better users’ current outcomes, bring new or additional value to their operations, and/or create new/transformative capabilities for the users, such as:

• Lead users and diverse stakeholders to understand and identify users’ challenges and co-define problem statements where Data Science solutions can mitigate these challenges.
• Work with users and multi-disciplinary technical/specialist teams to scope and formulate problem statements and identify the appropriate Data Science solutions to achieve the best outcomes to these problems.
• Manage the proper resourcing of projects with the right people with the right competencies and expertise; influence and negotiate with stakeholders to secure the required resources.
• Degree in Engineering/Computer Science/Information Technology or relevant disciplines.
• Relevant working experience in IT environment including a minimum of 8 years in a leadership position managing data analytics and/or Data/AI product development team.

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

Functional Description

At American Express we are focused on providing the best customer experience everyday through a differentiated set of products and services. We are looking for a senior researcher and developer at director level in the field of Artificial Intelligence (AI) and Machine Learning (ML) with focus on developing enterprise-grade data science capabilities in natural language processing (NLP) and conversational AI to support emerging use cases on enterprise-wide level, in close partnership with Technology, Marketing, Servicing and Risk organizations.

We are looking for candidates who have strong expertise and in-depth knowledge in NLP, extensive experience conducting innovative research in NLP and unstructured data domain, as well as a proven track record of developing innovative machine learning solutions to deliver exceptional customer experiences and incremental business values.

Responsibilities

• Conduct original research in machine learning and NLP domain with aim to develop enterprise-grade NLP capabilities to solve impactful business problems
• Identify opportunities on enterprise level to transform business processes and practices with innovative NLP capabilities
• Build strong partnership with multiple stakeholders across the Blue Box to revolutionize NLP capabilities for diversified use cases (marketing, risk and servicing)
• Uplift the innovation and cutting-edge R&D in unstructured data modeling, one of the most dynamic and fast-growing area in today’s AI community

Qualifications

• Masters/PhDs in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Operation Research and etc.)
• 7+ years of hands-on experiences in machine learning modeling, NLP and conversational AI
• Strong expertise and knowledge in cutting-edge deep learning research and its application in NLP domain.
• A strong record of delivering machine learning and/or data products including defining business problems, identifying data strategy, building MVPs, and scaling prototypes to production solutions
• Familiarity and proficiency with agile methods and tools to support project management in a timeline sensitive environment
• Team player with strong communication and leadership skills

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

• Competitive base salaries
• Bonus incentives
• Support for financial-well-being and retirement
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
• Generous paid parental leave policies (depending on your location)
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
• Free and confidential counseling support through our Healthy Minds program
• Career development and training opportunities

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.