Head of Audit Data Governance
Role details
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Job description
The Head of Audit Data Governance will sit horizontally across our Solutions and Run & Maintain organisations, working closely with Product, Engineering, Architecture, Transformation, Operations, and the Audit Practice. You will lead a multi-pillar data function spanning Data Governance, Data Quality, Data as Insight, and Data as a Service, ensuring that data drives value, supports Audit Quality, and enables scalable and trustworthy digital products., The Head of Audit Data Governance is responsible for defining, operationalising, and continuously improving a holistic, enterprise-aligned data operating model across the UK Audit business. The role ensures that the people, processes, technology, and controls needed to manage data as a strategic asset are fully in place.
You will lead the four core pillars of the Audit Data:
- Data Governance
Establishing trust, ownership, accountability, policy, and lifecycle management.
- Data Quality
Ensuring data is accurate, complete, consistent, and continually monitored and improved.
- Data as Insight
Enabling actionable intelligence from data through reporting, analytics and trusted audit insights.
- Data as a Service
Operationalising data products, pipelines, and reusable data capabilities to support product teams and Audit delivery.
You will report to the Head of Audit Technology & Solutions and work across all Audit portfolios, collaborating with senior leaders to embed data excellence into product development, service operations, and the future Audit Target Operating Model.
Responsibilities
Strategic Leadership
- Define and implement a unified Data Operations strategy aligned to the firm's Enterprise Data Strategy and Audit Technology's transformation roadmap.
- Provide leadership across the four data pillars, ensuring cohesive delivery and standardisation across portfolios.
- Shape the long-term vision for data as a strategic asset within Audit, ensuring data underpins our growth, trust, AI adoption, and Audit Quality ambitions.
- Represent Audit Technology in firmwide data governance forums and cross-capability data initiatives.
Data Governance
- Establish and operationalise a robust governance framework, ensuring critical data assets are defined, catalogued, owned, and stewarded.
- Lead business-wide alignment of data roles, responsibilities, accountabilities and stewardship structures.
- Develop and maintain policies and processes for managing data throughout its lifecycle.
- Chair or oversee data governance forums, ensuring actions, risks and decisions are captured and enforced.
Data Quality
- Build and operate a data quality management capability-including profiling, monitoring, controls, remediation and reporting.
- Identify and track data quality KPIs across portfolios and establish continuous improvement cycles.
- Implement automated data quality tooling and standards across Engineering and Product teams.
Data as Insight
- Drive consistent reporting, dashboards and insight capabilities to support performance, risk management and audit delivery.
- Partner with the Audit function and SMEs to translate operational and audit data into meaningful insight.
- Define the operating model for insight development, including metadata management, lineage, and data interpretation standards.
Data as a Service
- Develop a scalable model for providing reusable, trusted, secure datasets, pipelines and APIs to product teams.
- Work with Architecture, Engineering and Cloud teams to operationalise data platforms (e.g., Fabric, Informatica, Purview, Collibra).
- Establish service definitions, SLAs, demand processes and capacity models for data consumption across the portfolio.
Culture & Change
- Champion data-driven culture change, embedding stewardship, data literacy, and trust in data across Audit.
- Lead education and enablement programmes to strengthen responsible data behaviours.
- Foster high-challenge, high-support ways of working, modelling KPMG values.
Performance & Risk
- Conduct maturity assessments and define improvement roadmaps across the four pillars.
- Maintain oversight of data risks, issues, non-compliance and regulatory obligations.
- Ensure data controls are aligned with Audit Quality and risk management expectations.
Other responsibilities will typically include accountability for leading teams; providing technical, risk & compliance management, operational and quality management support; overseeing project management, budgeting and planning, senior stakeholder management, and analysis and delivery of quality reports; taking part in tenders or proposals; and some performance management responsibilities.
Requirements
- Deep expertise in data governance, data quality, data management or enterprise data operations.
- Experience leading multi pillar data functions or horizontal data capabilities across complex organisations.
- Strong understanding of data platforms, data integration, metadata cataloguing, lineage and data quality tooling (e.g., Informatica, MS Purview, Collibra, Fabric).
- Strong stakeholder and relationship management skills across technical and non technical communities.
- Evidence of driving cultural and behavioural change related to data ownership and quality.
- Experience translating technical data concepts into business language.
- Strategic thinker able to balance long term vision with practical delivery.
- A proactive, tenacious leader who can drive transformation across multiple teams and portfolios.
- Passionate advocate for trustworthy, responsible, high quality data.
Behavioural Attributes and Skills:
- Role model the Audit Technology culture of high support and high challenge.
- Foster inclusion, empowerment, psychological safety and collaboration across teams.
- Actively coach and develop cross functional colleagues, building data capability across the organisation.
- Contribute to a sense of community, purpose and enjoyment across the team., A professional accountancy qualification from a recognised accountancy body is desirable but is not essential.