Senior Manager (Data Governance & Management) (2-year contract), IITS

Singapore Management University; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

A leading educational institution in Singapore is seeking a Data Governance & Stewardship professional to design and implement data governance frameworks and lead stewardship programs. Ideal candidates should have a degree in Computer Science or a related field, along with at least 7 years of experience in data governance, alongside strong SQL skills. This role involves ensuring compliance with data regulations and facilitating data sharing across departments, offering a competitive remuneration package commensurate with experience.

Qualifications

• Minimum 7 years of experience in data governance or related fields.
• Proven experience in implementing data governance initiatives.
• Strong knowledge of data cataloguing and data quality tools.
• Familiarity with ETL/ELT processes and modern data architectures.

Responsibilities

• Design and implement enterprise‑wide data governance frameworks.
• Lead data stewardship program across business domains.
• Define data ownership models and accountability structures.
• Ensure compliance with relevant regulations and manage assessments.

Skills

Data governance initiatives

Data management

Proficiency in SQL

Stakeholder engagement

Problem-solving skills

Education

Degree in Computer Science, IT or related discipline

Tools

Data cataloguing tools

Metadata management tools

Database technologies (relational, NoSQL)

Job description

• This position is for Office of Integrated Information Technology Services (IITS).

• Data Governance & Stewardship

  • Design and implement enterprise‑wide data governance frameworks, policies, and standards, aligned with University objectives to drive data sharing, data reusability and data accessibility.

  • Lead data stewardship program, including identifying, training, and coordinating with data owners and stewards across business domains.

  • Define data ownership models and accountability structures.

  • Develop and maintain data catalogs, business glossaries, and metadata management practices.

• Data Security & Compliance

  • Co‑develop with Data Infrastructure Architect and Data Architect to design and implement data security controls (encryption, masking, access controls) in the data platform.

  • Ensure compliance with relevant regulations (PDPA, GDPR, and industry‑specific requirements).

  • Manage data protection impact assessments and data subject access processes.

• Data Sharing Enablement

  • Implement mechanisms for reusable and secure data sharing (curated datasets, data contracts).

  • Define data sharing guidelines and agreements.

  • Drive adoption of governed and reusable datasets across departments.

• Data Product Blueprint Design and Management

  • Develop and manage the data asset blueprint for the SMU Data Platform, ensuring alignment with business needs, priorities, and interdependencies.

  • Collaborate with technical leads and stakeholders to design, build, and deliver high‑quality SMU Data Products.

• Data Management Lifecycle & Delivery Practice

  • Lead the lifecycle management of governed data assets from requirements gathering through design, delivery, maintenance, and retirement.

  • Apply Agile or structured methodologies to plan, prioritise, and manage data governance initiatives and metadata/data quality improvements.

  • Coordinate dependencies between data engineers, source system owners, and governance stakeholders.

  • Identify and remove blockers to governance adoption and delivery progress.

• Other duties as assigned.

Qualifications

• Degree in Computer Science, IT or related discipline.

• Minimum 7 years of experience in data governance, data management, or related domains.

• Proven experience in implementing data governance initiatives; candidates with master data management implementation experience will also be considered.

• Strong knowledge of data cataloguing, metadata management, and data quality tools.

• Proficiency in SQL and understanding of database technologies (relational, NoSQL).

• Experience with data modeling, data lineage, and metadata management.

• Familiarity with data integration patterns, ETL/ELT processes, and modern data architectures (data lakes, lakehouses, data mesh).

• Understanding of data security principles and implementation (encryption, tokenization, access controls).

• Resourceful and able to work independently, with strong ownership, planning, organisational, and problem‑solving skills to manage competing priorities.

• Strong business analysis skills, with the ability to elicit, capture, and document requirements and discussion outcomes, and articulate governance and data sharing practices clearly.

• Strong stakeholder engagement and influencing skills to drive adoption across diverse groups.

Other Information

Candidates who do not possess the stipulated qualifications but have relevant work experience may still apply. Remuneration and appointment terms shall commensurate with qualifications and experience. SMU reserves the right to modify the appointment terms where necessary.