Data Governance Lead/Director

About the role

The Data Governance Lead/Director will act as a strategic leader and change agent, embedding a modern data culture across Chambers and Partners while enabling intelligent products and AI capabilities. This hybrid role combines strategic leadership, operational execution, stakeholder influence, and technology transformation.

Key responsibilities

• Define and lead the enterprise‑wide data governance vision, strategy, roadmap and operating model.
• Establish governance frameworks, standards, policies and controls aligned to business priorities and regulatory obligations.
• Partner with executive leadership to position data governance as a strategic business capability.
• Set governance KPIs, adoption metrics and value‑measurement frameworks.
• Ensure data used for analytics, machine learning and generative AI is accurate, secure, traceable and ethically governed.
• Define standards for AI transparency, explainability, lineage, model accountability and responsible use of enterprise data.
• Lead enterprise‑wide data quality initiatives focused on accuracy, consistency, completeness, timeliness and reliability.
• Build scalable data ownership models with clear accountability and issue‑resolution processes.
• Champion standardisation of business definitions, rules and critical data assets.
• Manage data compliance in line with data protection legislation and regulatory requirements, liaising with the DPO as needed.
• Identify and mitigate enterprise data risks, including quality, compliance, ethical AI and operational risks.
• Provide governance input into Master Data Management (MDM) strategy, vendor selection and implementation.
• Partner with engineering and architecture teams to embed governance into cloud‑native data platforms and data products.
• Support the evolution of the Azure Databricks ecosystem, medallion architecture and enterprise data capabilities.
• Drive organisation‑wide awareness, education and adoption of governance best practices.

Required profile

• Strategic leader and change agent with experience influencing executive leadership.
• Proven ability to define and execute data governance vision and operating models.
• Strong understanding of regulatory obligations and data protection legislation.
• Experience managing data compliance and liaising with data protection officers.
• Demonstrated capability to identify and mitigate data‑related risks.
• Leadership experience in enterprise‑wide data quality and AI governance initiatives.

Required skills

• Azure Databricks
• Cloud‑native data platforms
• Master Data Management (MDM)
• Data governance frameworks
• AI/ML governance
• Data quality management