Data Governance Manager

CONTEXT

Our client, a major player in its sector, is accelerating its data-driven transformation. Product teams and corporate projects are generating and consuming more data than ever, but governance, compliance, risk, and non-functional requirements are often treated as afterthoughts. The organization has decided to embed data governance into the very fabric of every project and product lifecycle, creating a new role to guide Product Managers and corporate stakeholders. This is not a policing mission; it is a mission to make governance practical, scalable, and value-adding.

ACTIVITIES

• Partner with Product Managers and project teams to integrate Data Governance and data-related Non-Functional Requirements (NFRs) from the earliest design stages.
• Translate regulatory, compliance, and risk expectations into actionable governance requirements for product and project teams.
• Facilitate workshops, impact assessments, and design reviews to ensure data management considerations are addressed.
• Maintain governance registers, decision logs, and adoption dashboards to track progress and maturity.
• Advise on data quality, lineage, retention, access, and privacy controls in collaboration with legal, risk, and security teams.
• Support corporate projects by providing templates, guardrails, and best practices for data governance.
• Monitor adoption, identify gaps, and propose remediation plans to steering committees.

EXPECTED ACHIEVEMENTS

• Governance-by-design becomes the default way of working across projects and products.
• Compliance and risk exposure are reduced through earlier identification and treatment of data-related NFRs.
• Product Managers gain confidence and autonomy in managing data responsibly.
• Data quality, lineage, and access controls improve, enabling faster and safer decision-making.
• The organization demonstrates measurable maturity in data governance to regulators, auditors, and executive committees.

ENVIRONMENT

• Data governance frameworks such as DAMA-DMBOK and NFR catalogs.
• Regulatory and compliance contexts including GDPR and sector-specific requirements.
• Collaboration and tracking tools such as Jira, Confluence, ServiceNow, and Power BI.
• Risk and control registers, data catalogs, and metadata management platforms.
• Agile, SAFe, and hybrid project delivery methodologies.
• A cross-functional environment spanning product, legal, risk, security, and data teams.