Senior Manager, Data Governance

FashionUnited; København; On-site; DKK 597,015 - 895,522; Full time

Job summary

FashionUnited is seeking a Senior Manager for Data Governance based in Copenhagen, Denmark. This role will lead the development and execution of a scalable governance framework ensuring compliant use of data and AI across the organization.

The ideal candidate has over 8 years of experience in data governance and is responsible for establishing governance policies and embedding practices into the workflow. A degree in a relevant field is required.

Qualifications

• 8+ years of experience in data governance or closely related field.
• Proven track record of implementing governance frameworks.
• Strong understanding of enterprise data governance practices.

Responsibilities

• Own and evolve the enterprise Data Governance framework.
• Lead AI governance practices, ensuring compliance.
• Establish governance policies covering data quality.

Skills

Data governance

Data management

AI governance

Data quality

Stakeholder management

Education

Bachelor's or master's degree in Data Science or related field

DAMA certification

Job description

Senior Manager, Data Governance will lead the development and execution of a scalable governance framework that enables trusted, compliant, and effective use of data and AI across the organisation. This role is responsible for embedding governance by design into ways of working, ensuring governance is practical, measurable, and seamlessly integrated into delivery processes rather than applied retrospectively.

Key Responsibilities

Enterprise Data Governance

• Own and evolve the enterprise Data Governance framework, operating model, and decision‑making structure.
• Drive clear data ownership and stewardship across business and technical teams.
• Establish governance policies and standards covering areas such as data quality, classification, lifecycle management, and responsible use.
• Ensure consistent governance of the enterprise data glossary and critical business definitions.
• Define and report on governance KPIs, risks, and adoption metrics for senior stakeholders.

AI Governance

• Lead AI governance practices including risk tiering, review processes, lifecycle controls, and auditability.
• Oversee AI use‑case intake, assessments, approvals, and governance workflows.
• Partner with Legal, Privacy, Security, and Procurement teams to ensure AI solutions are compliant and risk‑managed from the outset.
• Ensure governance controls support transparency, accountability, and responsible AI practices.

Technical Governance

• Define governance standards across metadata, lineage, data contracts, and lifecycle controls.
• Embed governance guardrails into data platforms, pipelines, and engineering processes.
• Partner with engineering and architecture teams to ensure governance controls are automated and enforceable.
• Drive alignment with enterprise architecture and platform standards.

Operational Governance

• Lead governance operations including intake processes, prioritisation, escalation management, and governance forums.
• Establish and monitor data quality frameworks, SLAs, controls, and observability practices.
• Partner with data product and domain teams to embed ownership and scalable governance practices.
• Drive continuous improvement initiatives and promote the value of governance across the organisation.

Key Qualifications & Requirements

• Bachelor's or master's degree in a relevant field such as Data Science, Information Systems, Computer Science, Data Engineering, etc. DAMA certification would be a plus.
• Proven experience (typically 8+ years) in data governance, data management, or a closely related field, with a strong track record of implementing governance frameworks in complex organisations.
• Solid understanding of enterprise data governance practices, including data ownership, data quality, metadata management, data classification, and lifecycle management.
• Strong knowledge of data platforms, architecture, and technical governance concepts such as lineage, data contracts, and platform guardrails.
• Demonstrated ability to translate strategy into operational frameworks, standards, and measurable controls.

Further Information: The Senior Manager will lead a team of 9-11 direct reports and report directly to the Director for Data & AI Strategy & Data Governance.