Data Governance Manager

KZ-4390;
Data Governance Specialist - AI Ready Data

Location: Hybrid - 2 days a fortnight NW England

Length of Project: 3 months & then ongoing (2 year programme of work)

Start Date: ASAP

Advertised Rate: £ comp (daily rate)

Visa Sponsorship: This opportunity does not support visa sponsorship.

Our client, a leading scientific and technology organisation, invites consultants with experience in data governance and information architecture on enterprise transformation programmes focused on AI‑ready data. The goal is to improve data structuring, governance and standardisation to enable AI‑ready capabilities across a complex enterprise environment, moving from fragmented, document‑based information to structured, interoperable, reusable data aligned to modern AI, especially LLM requirements.

• Define and improve data governance standards, frameworks and guardrails across the enterprise data estate.
• Support the transition from document‑based information to structured and interoperable data models.
• Contribute to the development of data standards, ontologies and information architecture approaches.
• Assess data structures, lineage, metadata and usability to improve AI readiness.
• Provide advisory input on new technologies and tooling from a data governance and information architecture perspective.
• Engage with scientists, engineers and business stakeholders to improve how data is created, governed and consumed.
• Produce clear and usable governance artefacts including policies, standards, diagrams and definitions.
• Support the application of modern information architecture approaches to AI, and in particular, LLM use cases.
• Mentor and guide teams through hands‑on delivery and practical implementation of governance practices.

• Strong experience in data governance, information architecture or data modelling disciplines.
• Experience working with data standards, ontologies, interoperability frameworks or metadata models.
• Understanding of AI / LLM data requirements including structure, context and metadata.
• Experience working with enterprise data platforms, data lakes or large‑scale legacy environments.
• Ability to define and implement practical data governance standards and frameworks.
• Strong stakeholder engagement and communication capability across technical and non‑technical audiences.
• Experience operating within complex and evolving enterprise environments.

• Experience supporting AI enablement or AI‑ready data initiatives.
• Experience working within scientific, R&D or engineering‑led organisations.
• Experience mentoring teams on data governance or information architecture practices.