Report Governance Lead

Diageo is seeking a Report Governance Lead to embed practical governance and stewardship for enterprise data. The successful candidate will set standards, backlog, and delivery plans for report governance, clarify domain accountabilities, onboard owners and stewards, and establish practical forums and escalation routes.

Key Accountabilities:

• Own the specialist roadmap: Set standards, backlog, and delivery plan for report governance lead, aligned to enterprise architecture, governance, and priorities.
• Activate ownership and stewardship: Clarify domain accountabilities, onboard owners and stewards, and establish practical forums, escalation routes, and operating routines.
• Embed governance by design: Translate policy into delivery controls, approval points, and evidence requirements across products, platforms, and analytical solutions.
• Measure compliance and trust: Define indicators for ownership, policy adoption, data quality, and remediation; surface gaps and drive accountable action.
• Build sustainable capability: Provide playbooks, coaching, and communities that enable consistent governance without creating unnecessary process burden.

Key Competencies:

• Pragmatic data governance: Turns policy and standards into workable roles, controls, and behaviours.
• Evidence-led problem-solving: Uses quality, adoption, and risk evidence to identify root causes and prioritize action.
• Federated influence: Builds accountability across business and technical owners in a matrixed environment.

Qualifications and Experience Required:

• 5+ years of relevant experience in data governance, ownership, and stewardship, quality, metadata, lineage, cataloguing, and policy implementation.
• Demonstrated delivery of measurable outcomes in a scope comparable to Report Governance Lead.
• Proven ability to work across business, product, and technology teams in a matrixed or federated operating model.
• Strong written and verbal communication, with the judgment to influence senior stakeholders and escalate material risks clearly.
• Practical understanding of data governance, security, privacy, responsible use, and financial discipline relevant to the role.