Job Description

Join Us as Head Of Data Strategy, Management and Governance

What’s the role?

The Head of Data Strategy, Management and Governance is accountable for defining and executing the Group‑wide data and analytics strategy, ensuring data is trusted, secure, compliant and effectively governed across its full lifecycle. The role enables strong business and customer outcomes by embedding automated, scalable data management and governance‑by‑design, while reducing operational risk and supporting executive and Board confidence in data‑driven decision‑making.

Key Responsibilities:

Data Strategy & Enterprise Leadership

• Define and execute the Group‑wide data and analytics strategy, aligned to enterprise priorities, business outcomes and customer needs.
• Ensure clear and demonstrable alignment between data strategy execution and measurable business outcomes.
• Act as a visible role model for data‑led leadership and governance excellence across the organisation.

Data Lifecycle, Management & Automation

• Lead the automation of the end‑to‑end data lifecycle, including ingestion, storage, usage, sharing, retention and disposal.
• Establish and operate enterprise data management capabilities, including:
• Metadata management
• Data lineage
• Master data management
• Data quality controls
• Embed governance‑by‑design, prioritising automation of controls to reduce manual handling, inefficiency and operational risk.

Governance, Risk & Compliance

• Own enterprise data governance and data quality, ensuring compliance with privacy, prudential and regulatory requirements.
• Safeguard secure access, use and disposal of data in line with security, privacy, ethical and regulatory standards.
• Operate within approved risk appetite, embedding governance across data usage, analytics usage, privacy and ethics.
• Provide expert oversight, challenge and escalation for material or high‑risk analytics and data use cases.

Policies, Frameworks & Assurance

• Develop and maintain Group data policies, frameworks, tools and patterns, including foundational data products.
• Ensure effective controls, assurance, documentation and issue management in accordance with Group policies.
• Ensure data and analytics outputs are trusted, explainable, auditable and decision‑ready, supporting executive and Board confidence.

Reporting & Stakeholder Engagement

• Provide transparent reporting on data risk, compliance and control effectiveness to executive leadership and Board forums.
• Partner closely with technology, risk, legal, privacy and business leaders to enable consistent enterprise adoption of data governance and management practices.

People Leadership

• Build and sustain critical data governance capability through talent management, capability reviews and succession planning.

Key Outcomes

• Automated, scalable data governance and lifecycle controls embedded across platforms and processes.
• Improved enterprise data quality, consistency and trust.
• Reduced operational risk and manual effort through governance automation.
• Strong and sustained regulatory and audit outcomes.
• Clear alignment between data strategy execution and enterprise and customer outcomes.

Create your future today

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