Data Governance Manager

Allen Lane; Taunton; Hybrid; GBP 80,000 - 100,000

Job description

Direct message the job poster from Allen Lane

Senior Recruitment Consultant at Allen Lane

The Role: Data Governance Operating Model Business Lead

INSIDE IR35

Hybrid: 3 days per week in Taunton

Please note active BPSS will be required from the start, and the successful candidate will need to be prepared to undergo SC Clearance

This role has three key objectives:

• To oversee the project, ensuring alignment with organisational objectives, managing risk and ensuring delivery.
• To act as an intelligent customer for the consultancy work, validating approaches and ensuring quality of delivery.
• Embed capability developed into the organisation. Define and agree an appropriate skills transfer and knowledge handover related to data governance frameworks, processes, and tools to ensure continuity and compliance post-contract.
• To advocate and promote the project, building consensus and developing internal skills.

Key Responsibilities:

• Strong understanding of data governance principles, frameworks, and best practices (e.g. DAMA, DCAM, CDMC).
• Experience leading data governance initiatives within a public sector or geospatial organisation.
• Knowledge of data management, data quality, metadata, and regulatory compliance.
• Ability to align data governance with the organisations strategic objectives and articulate the business case for investment.
• Working with Business Change (and capabilities) to manage cultural change, ensuring that data governance is embedded as a business priority.
• Accustomed to working in programme/project management structures (MSP, Agile, or equivalent methodologies).
• Ability to manage external suppliers, ensuring they deliver agreed milestones and outputs as specified in the DGOM business case.
• Experience of budget management, risk assessment, and issue resolution to keep the project on track (to support project team).
• Experience of stakeholder engagement at executive and senior leadership levels across the organisation.
• Experience of working with technology, data, and business teams to ensure alignment of governance with operational needs.
• Excellent communication and influencing skills, capable of translating technical data governance concepts into clear business value.
• Experience in cloud data governance, managing data in hybrid cloud environments (in support of tech strategy).
• Knowledge of AI/ML governance requirements and associated data readiness.
• Experience of managing data operating model transformations at an enterprise level.

Seniority level

Mid-Senior level

Employment type

Temporary

Job function

Information Technology

Industries

Government Relations Services