The Role: Data Governance Manager

Purpose

To establish and embed ABP’s enterprise data governance capability so that data is managed as a trusted business asset across policy, quality, stewardship, metadata, master data, privacy, and enabling tooling.

The role will work across business and technology teams to define ownership and stewardship, improve data quality, implement governance standards and controls, and support scalable analytics, self-service, and AI on governed foundations. This role is designed for a federated operating model: business domains remain accountable for their data, while the Data function sets standards, builds capability, and provides governance forums, tools, and oversight.

The post holder will turn governance principles into practical routines that improve decision-making, reduce regulatory and audit risk, and increase confidence in data across ABP. The role aligns to the DAMA-DMBOK data management framework, focused on the disciplines most relevant to ABP’s current priorities.

Accountabilities

• Oversee the development of predictive, prescriptive, and machine learning models (including CNNs, computer vision, and advanced statistical methods), translating business challenges into structured analytical delivery plans.
• Ensure analytical solutions are robust, validated, well documented, and aligned to business needs across the full model lifecycle, from hypothesis through to deployment and monitoring.
• Ensure insights, dashboards, and models are accurate, timely, and clearly communicated to technical and non-technical audiences, and drive adoption of self-service analytics tools across the business.
• Ensure analytics products and models comply with ABP’s data governance, data quality, and metadata standards as set by the Data Governance function, maintaining appropriate documentation of assumptions, limitations, and monitoring requirements.
• Ensure compliance with security, regulatory, and ethical AI standards across all analytical outputs, including model transparency and auditability.
• Shape the analytics roadmap in support of ABP’s wider data strategy, identifying opportunities to automate processes, optimise performance, and introduce new analytical techniques or toolsets.
• Evaluate emerging analytics technologies and methods, including generative AI and large language models, ensuring the analytics team remains modern and future ready.
• Build strong relationships with business stakeholders to ensure effective adoption of analytical products and measurable outcomes.
• Balance delivery of quick-win insights with longer-term data science initiatives, in line with agreed team priorities.