277 Data Governance Manager jobs in Singapore

About GlobalFoundries

GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world's most inspired technology companies. With a global manufacturing footprint spanning three continents, GlobalFoundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit

Introduction:

As Manufacturing Data Governance Manager, you will be reporting to Digital Manufacturing Senior Director. You will be responsible for developing and implementing stewardship and governance policies in 4 key areas 1. manufacturing data catalog and lineage. 2. data quality measures and improvement roadmap. 3. domain-specific data councils and retention policy. 4. Business processes with IT, Fab users, data councils and Digital manufacturing team. You will participate in GlobalFoundries data council.

Your Job:

• Identify Fab data champions, form domain-specific data councils, develop inventory of Critical Data Elements(CDE)
• Develop manufacturing data catalog and data lineage (from source to report)
• Define and develop data quality KPIs and thresholds
• Establish data quality issue escalation and remediation plans
• Translate GF enterprise-wide data retention / custody policies to manufacturing data domain specific retention / classification rules, considering both compliance and value capture optimization from deploying AI/ML/Gen-AI use cases
• Guide data scientists and use case teams to identify data requirements, sources, and ensure data quality, integrity, and security throughout the data life cycle.
• Draft initial data architectures and solutions to enable use case deployment and scaling
• Partner with GFIT and other stakeholders across multiple sites to optimize data architecture, infrastructure, and platforms for manufacturing data management and analysis.
• Provide leadership, coaching and mentoring to the manufacturing data steward and governance team fostering a culture of ownership, collaboration, innovation and embracing growth mindset for continuous improvement.
• Stay updated on emerging trends and advancement in data management and digital manufacturing technologies to evaluate their business value for potential use cases.

Other Responsibilities:

• Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements, and programs.
• Support diversity, equity, inclusion, belonging (DEIB) and our company's ESG vision and goals

Required Qualifications:

• Bachelor's degree in computer engineering, computer science, Information Technology, or a related field
• A minimum of 6 years of experience in computer engineering, data science, or related roles, with a focus on digital manufacturing applications.
• Proven track record of leading teams within manufacturing domain
• Proven track record in data management in a manufacturing or industrial environment.
• Proficiency in data governance principles, data quality management, and data integration techniques.
• Experience with data analytics tools and platforms for extracting insights from manufacturing data.
• Knowledge of data security standards and regulatory requirements related to manufacturing data.
• Excellent leadership, communication, and stakeholders' management skills.

Preferred Qualifications:

• Master's degree in computer engineering, computer science, Information Technology, or equivalent
• Certification in Project Management or equivalent certification.

GlobalFoundries is an equal opportunity employer, cultivating a diverse and inclusive workforce. We believe having a multicultural workplace enhances productivity, efficiency and innovation whilst our employees feel truly respected, valued and heard.

As an affirmative employer, all qualified applicants are considered for employment regardless of age, ethnicity, marital status, citizenship, race, religion, political affiliation, gender, sexual orientation and medical and/or physical abilities.

All offers of employment with GlobalFoundries are conditioned upon the successful completion of background checks, medical screenings as applicable and subject to the respective local laws and regulations.

• Identify Fab data champions, form domain-specific data councils, develop inventory of Critical Data Elements(CDE)
• Develop manufacturing data catalog and data lineage (from source to report)
• Define and develop data quality KPIs and thresholds
• Establish data quality issue escalation and remediation plans
• Translate GF enterprise-wide data retention / custody policies to manufacturing data domain specific retention / classification rules, considering both compliance and value capture optimization from deploying AI/ML/Gen-AI use cases
• Guide data scientists and use case teams to identify data requirements, sources, and ensure data quality, integrity, and security throughout the data life cycle.
• Draft initial data architectures and solutions to enable use case deployment and scaling
• Partner with GFIT and other stakeholders across multiple sites to optimize data architecture, infrastructure, and platforms for manufacturing data management and analysis.
• Provide leadership, coaching and mentoring to the manufacturing data steward and governance team fostering a culture of ownership, collaboration, innovation and embracing growth mindset for continuous improvement.
• Stay updated on emerging trends and advancement in data management and digital manufacturing technologies to evaluate their business value for potential use cases.

• Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements, and programs.
• Support diversity, equity, inclusion, belonging (DEIB) and our company's ESG vision and goals

• Bachelor's degree in computer engineering, computer science, Information Technology, or a related field
• A minimum of 6 years of experience in computer engineering, data science, or related roles, with a focus on digital manufacturing applications.
• Proven track record of leading teams within manufacturing domain
• Proven track record in data management in a manufacturing or industrial environment.
• Proficiency in data governance principles, data quality management, and data integration techniques.
• Experience with data analytics tools and platforms for extracting insights from manufacturing data.
• Knowledge of data security standards and regulatory requirements related to manufacturing data.
• Excellent leadership, communication, and stakeholders' management skills.

• Master's degree in computer engineering, computer science, Information Technology, or equivalent
• Certification in Project Management or equivalent certification.

Overview
The CPO Office is responsible for driving the sustainability and reliability of Shopee and Monee product lines, with initiatives related to cost optimization and data governance across AI systems.
Responsibilities
Define business goals and a framework on data governance controls, focusing on AI systems. Propose optimal solutions balancing risk and efficiency. Align with senior management.
Lead projects end to end: define objectives and scope, plan the project timeline, and coordinate with main stakeholders. Be accountable for achieving the expected goals.
Coordinate among internal stakeholders during solution development and implementation phases. Teams include Cyber Security, Compliance, Operations, Product & Engineering.
Qualifications
Bachelor’s degree or higher from reputable schools; engineering major preferred.
5+ years of experience; management consulting or technology experience is a plus.
Proven ability to structure and solve complex problems, and synthesize them into clear frameworks.
Ability to collaborate across varied stakeholders and communicate effectively in both verbal and written form.
Self-driven, positive attitude, and a team player who strives for team success.
Comfortable with ambiguity and changes in a fast-paced environment.
Employment details
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Product Management
Industries: Software Development
Referrals increase your chances of interviewing at Shopee.
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Key Responsibilities

• Develop and implement the data strategy for manufacturing and supply chain operations, ensuring alignment with overall corporate objectives.
• Architect, build, and manage BI platforms that deliver actionable insights across cost optimization, operational efficiency, supply chain performance, and order fulfillment.
• Lead, coach, and develop the BI/data team, fostering alignment with strategic priorities and enhancing team capabilities.
• Manage the full lifecycle of BI projects, including planning, budgeting, execution, and stakeholder engagement.
• Collaborate closely with cross-functional partners (manufacturing, procurement, logistics, finance, IT, R&D) to enable accurate, timely, and actionable data flows.
• Provide data-driven insights and strategic recommendations to executive leadership to support decision-making and drive operational excellence.
• Support global business operations, with the flexibility to travel internationally as required.

Qualifications

• Bachelors or Masters degree in Information Systems, Data Analytics, Engineering, or a related discipline.
• 8-15 years of progressive experience in BI, data strategy, or MIS within manufacturing, technology, or supply chain sectors.
• Proven track record of successfully leading teams and delivering complex, large-scale BI/data initiatives.
• Advanced expertise in data analysis, modeling, and visualization tools such as Power BI, Tableau, SQL, and Python.

To apply, please visit and search for Job Reference: 3W5338R8

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Bautista Gia Grace De Guzman | Registration No: R

This is in partnership with the Employment and Employability Institute Pte Ltd (e2i).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives.

By applying for this role, you consent to GMP Recruitment Services (S) Pte Ltds PDPA and e2is PDPA .

• Develop and implement the data strategy for manufacturing and supply chain operations, ensuring alignment with overall corporate objectives.
• Architect, build, and manage BI platforms that deliver actionable insights across cost optimization, operational efficiency, supply chain performance, and order fulfillment.
• Lead, coach, and develop the BI/data team, fostering alignment with strategic priorities and enhancing team capabilities.
• Manage the full lifecycle of BI projects, including planning, budgeting, execution, and stakeholder engagement.
• Collaborate closely with cross-functional partners (manufacturing, procurement, logistics, finance, IT, R&D) to enable accurate, timely, and actionable data flows.
• Provide data-driven insights and strategic recommendations to executive leadership to support decision-making and drive operational excellence.
• Support global business operations, with the flexibility to travel internationally as required.

• Bachelors or Masters degree in Information Systems, Data Analytics, Engineering, or a related discipline.
• 8-15 years of progressive experience in BI, data strategy, or MIS within manufacturing, technology, or supply chain sectors.
• Proven track record of successfully leading teams and delivering complex, large-scale BI/data initiatives.
• Advanced expertise in data analysis, modeling, and visualization tools such as Power BI, Tableau, SQL, and Python.

• Develop and implement the data strategy for manufacturing and supply chain operations, ensuring alignment with overall corporate objectives.
• Architect, build, and manage BI platforms that deliver actionable insights across cost optimization, operational efficiency, supply chain performance, and order fulfillment.
• Lead, coach, and develop the BI/data team, fostering alignment with strategic priorities and enhancing team capabilities.
• Manage the full lifecycle of BI projects, including planning, budgeting, execution, and stakeholder engagement.
• Collaborate closely with cross-functional partners (manufacturing, procurement, logistics, finance, IT, R&D) to enable accurate, timely, and actionable data flows.
• Provide data-driven insights and strategic recommendations to executive leadership to support decision-making and drive operational excellence.
• Support global business operations, with the flexibility to travel internationally as required.

• Bachelors or Masters degree in Information Systems, Data Analytics, Engineering, or a related discipline.
• 8-15 years of progressive experience in BI, data strategy, or MIS within manufacturing, technology, or supply chain sectors.
• Proven track record of successfully leading teams and delivering complex, large-scale BI/data initiatives.
• Advanced expertise in data analysis, modeling, and visualization tools such as Power BI, Tableau, SQL, and Python.

Company description:

SMRT Corporation Ltd is a public transport service provider. Our primary business is to manage and operate train services on the North-South Line, East-West Line, the Circle Line, the Thomson-East Coast Line and Bukit Panjang Light Rail Transit. This is complemented by our bus, taxi and private hire vehicle services.

Our core values are Respect, Integrity, Safety and Service, and Excellence. We are committed to provide safe, reliable and comfortable service for all our commuters.

Job description:

Job Purpose

As a Manager of Data Governance in SMRT, you will be tasked to design and implement corporate data governance strategy and framework. You play a key role in implementing governance activities to ensure the company has a good data foundation on which trusted information that can be used for critical business processes, decision making and accounting to meet overall business needs.

Responsibilities

• Define and design organisation's data management and governance strategy.
• Implementation of data governance policies and develop standard operating procedures.
• Initiate data governance activities to ensure alignment and effective implementation across Business Groups.
• Review data processing architecture and data sharing practice.
• Collaborate with stakeholders to ensure a common understanding of data governance and advocate data management practices.
• Serve as a liaison and provide consultation to assist business units in identifying and setup of critical data elements.
• Establish and govern an enterprise data governance implementation roadmap.

Qualifications & Work Experience

• Bachelor's degree and above in Analytics, Information Systems Management, Computer Science or related fields.
• Minimum 5 years of experience in data governance.
• Prior experience in implementing data governance framework.
• Good knowledge of the overall governance framework, including operating model, data governance, data management, data security, data quality and data architecture.
• Good understanding of metadata management, reference data management, master data management, and data quality.

Skills

• Project management
• Understanding of data governance tools
• Knowledge in data governance principles
• Proficient with data engineering methods and technologies, Azure Cloud proficiency will be an advantage
• Experience in working in a diverse organisation and across business processes
• Excellent written and oral communication skills

Data Engineering Manager (Data Governance) - Data Cycling Centre

About Data Cycling Center

AI is the new electricity and data is the energy for AI. Our core belief is that unstructured data contains the untapped wisdom of humanity — and by building the best AI-ready data infrastructure, we enable more meaningful, responsible, and creative uses of AI.

DCC is a Data Science team that is responsible for building the mid-platform data layer that powers AI development across all business lines of TikTok, including e-commerce, advertising, livestreaming, and emerging technologies. Our initiatives include:

• Scaled human-in-the-loop (HITL) data processing (including capability, methodology, E2E process, platform), delivering the most cost-effective results at benchmark quality levels that outperform leading tech peers.
• Built a highly automated end-to-end data pipeline for AI-generated content (AIGC) that supports strong model performance with minimal resource input.
• Develop a comprehensive content understanding and insight generation system, setting new benchmarks for marketing intelligence in the online ads ecosystem.

DCC aims to be the number 1 data service provider in the AI era. Our mission is to build the most effective (lossless and affordable) content understanding capabilities to fully satisfy AI needs of TikTok and to help the industry push the limit.

As a Lead Data Engineer, you will be responsible for building up both the team and the data pipeline. You will be working on cutting-edge challenges in the big data and AI industry which requires strong passion and capability of innovation. You will collaborate closely with cross-functional teams to understand business requirements and translate them into technical solutions. Additionally, you will provide technical guidance, mentorship, and support to junior team members.

• Architect efficient, scalable and reliable data pipelines and infrastructure for ingesting, processing, and transforming large volumes of data
• Define the technical strategy and roadmap for data engineering projects in alignment with business objectives, actively evaluate and bring in industry best practices and state-of-the-art technical approaches, and timely update the strategy according to the rapid change of the industry
• Build and lead a high-performing data engineering team with a clear strategy, providing business, technical, and personal development coaching
• Own and drive data engineering projects by leveraging both internal and cross-functional resources, setting meaningful and challenging targets, and achieving them with innovative approaches
• Foster a collaborative and inclusive team culture within and across teams, collaborate with data scientists

• Shape the Future of AI — Work at the core of TikTok’s AI development, where your data powers cutting-edge applications across e-commerce, ads, livestream, and more.
• Massive Scale, Real-World Impact — Process petabytes of unstructured data to influence real products used by over a billion users worldwide.
• Global Team, Local Leadership — Join a diverse, high-performing team spread across Singapore, New York, San Jose, Shanghai, and more
• Build What Others Benchmark Against — Our innovations in HITL systems, AIGC pipelines, and content understanding set the industry standard.
• From Data to Strategy — We turn data into actionable insight that shapes product and business strategy across all TikTok verticals.
• Dynamic, Fast-Paced, Fun — Experience the energy of a high-impact team that moves fast and never stops learning.

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• At least 5 years of experience in data engineering with proven expertise in building scalable data pipelines and infrastructure.
• Experience with big data technologies such as Apache Spark, Hadoop, and Kafka; proficiency in Python, SQL, and Java.
• Strong understanding of database systems, data warehousing, and distributed computing concepts.
• Proven experience in team management with a track record of leading teams and delivering complex data engineering projects.
• Excellent communication, analytical, and collaboration skills; independent thinking and ability to prioritise core business needs.
• Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities.

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. Our global headquarters are in Los Angeles and Singapore, with offices worldwide.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and perspectives. We celebrate diverse voices and strive to create an environment that reflects the communities we reach.

Data Engineering Manager (Data Governance) - Data Cycling Centre
About Data Cycling Center
AI is the new electricity and data is the energy for AI. Our core belief is that unstructured data contains the untapped wisdom of humanity — and by building the best AI-ready data infrastructure, we enable more meaningful, responsible, and creative uses of AI.
DCC is a Data Science team that is responsible for building the mid-platform data layer that powers AI development across all business lines of TikTok, including e-commerce, advertising, livestreaming, and emerging technologies. Our initiatives include:
Scaled human-in-the-loop (HITL) data processing (including capability, methodology, E2E process, platform), delivering the most cost-effective results at benchmark quality levels that outperform leading tech peers.
Built a highly automated end-to-end data pipeline for AI-generated content (AIGC) that supports strong model performance with minimal resource input.
Develop a comprehensive content understanding and insight generation system, setting new benchmarks for marketing intelligence in the online ads ecosystem.
DCC aims to be the number 1 data service provider in the AI era. Our mission is to build the most effective (lossless and affordable) content understanding capabilities to fully satisfy AI needs of TikTok and to help the industry push the limit.
About the role
As a Lead Data Engineer, you will be responsible for building up both the team and the data pipeline. You will be working on cutting-edge challenges in the big data and AI industry which requires strong passion and capability of innovation. You will collaborate closely with cross-functional teams to understand business requirements and translate them into technical solutions. Additionally, you will provide technical guidance, mentorship, and support to junior team members.
Responsibilities
Architect efficient, scalable and reliable data pipelines and infrastructure for ingesting, processing, and transforming large volumes of data
Define the technical strategy and roadmap for data engineering projects in alignment with business objectives, actively evaluate and bring in industry best practices and state-of-the-art technical approaches, and timely update the strategy according to the rapid change of the industry
Build and lead a high-performing data engineering team with a clear strategy, providing business, technical, and personal development coaching
Own and drive data engineering projects by leveraging both internal and cross-functional resources, setting meaningful and challenging targets, and achieving them with innovative approaches
Foster a collaborative and inclusive team culture within and across teams, collaborate with data scientists
Why Join Us
Shape the Future of AI — Work at the core of TikTok’s AI development, where your data powers cutting-edge applications across e-commerce, ads, livestream, and more.
Massive Scale, Real-World Impact — Process petabytes of unstructured data to influence real products used by over a billion users worldwide.
Global Team, Local Leadership — Join a diverse, high-performing team spread across Singapore, New York, San Jose, Shanghai, and more
Build What Others Benchmark Against — Our innovations in HITL systems, AIGC pipelines, and content understanding set the industry standard.
From Data to Strategy — We turn data into actionable insight that shapes product and business strategy across all TikTok verticals.
Dynamic, Fast-Paced, Fun — Experience the energy of a high-impact team that moves fast and never stops learning.
Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
At least 5 years of experience in data engineering with proven expertise in building scalable data pipelines and infrastructure.
Experience with big data technologies such as Apache Spark, Hadoop, and Kafka; proficiency in Python, SQL, and Java.
Strong understanding of database systems, data warehousing, and distributed computing concepts.
Proven experience in team management with a track record of leading teams and delivering complex data engineering projects.
Excellent communication, analytical, and collaboration skills; independent thinking and ability to prioritise core business needs.
Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities.
About TikTok
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. Our global headquarters are in Los Angeles and Singapore, with offices worldwide.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and perspectives. We celebrate diverse voices and strive to create an environment that reflects the communities we reach.
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