- Company Name
- BBC
- Job Title
- Head of Data Governance
- Job Description
-
**Job title**
Head of Data Governance
**Role Summary**
Lead and execute the enterprise‑wide Data Governance and Responsible AI strategy, ensuring data and AI are treated as products with clear ownership, quality standards, lifecycle management, and ethical use. Drive alignment across technology, product, editorial, and corporate functions, embed governance into platforms and operations, and advise senior leadership on risk, ethics, and compliance.
**Expectations**
- Deliver a cohesive vision, framework, and roadmap for data quality, lineage, metadata, ownership, and AI risk management.
- Balance enterprise consistency with local autonomy, enabling rapid yet responsible innovation.
- Act as the primary advisor to executives on data/AI strategy, risk, and regulatory compliance.
- Lead the transition to data‑as‑a‑product thinking across all BBC data initiatives.
**Key Responsibilities**
- Define, prioritize, and execute the Data Governance and Responsible AI strategy across multiple platforms and AI use cases.
- Own the governance roadmap, sequencing capabilities, transformation milestones, and business priorities.
- Establish enterprise frameworks for data ownership, quality, metadata, lineage, classification, lifecycle, and access control.
- Embed data‑as‑a‑product principles: named owners, service contracts, measurable quality metrics, and defined support models.
- Design governance into data platforms, tooling, and operating models to enable secure, scalable, and trusted data/AI use.
- Lead the Responsible AI framework: risk assessment, bias mitigation, explainability, human oversight, auditability, and integration into delivery pipelines.
- Set and steward records management standards, classification, retention, disposal, and defensible record‑keeping across data, content, and AI artifacts.
- Coordinate lifecycle management of records across teams and provide guidance for regulatory, legal, and editorial obligations.
- Build, mentor, and develop the Data Governance and Responsible AI capability team.
**Required Skills**
- Proven leadership in enterprise data governance and responsible AI across large, federated environments.
- Deep understanding of data quality, metadata, lineage, classification, lifecycle, and access control frameworks.
- Experience operationalizing data‑as‑a‑product and embedding governance into platforms and development workflows.
- Expertise in AI risk assessment, bias mitigation, explainability, human oversight, auditability, and regulatory compliance.
- Strong stakeholder management and ability to influence senior executives, product, engineering, and editorial teams.
- Excellent communication, strategic thinking, and decision‑making under complex constraints.
**Required Education & Certifications**
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or related field.
- Professional certifications in Data Governance (e.g., DAMA-DMBOK, CDO), Responsible AI, or related disciplines are preferred.