Senior Data & AI Governance Consultant

Overview

Senior Data & AI Governance Consultant — Permanent — Location: Home Based with travel to client sites — Salary: £90,000 – £110,000 (+ benefits)

Skills: Data Governance, AI Assurance, Metadata Management, SC Clearance

We are looking to recruit a Senior Data & AI Governance Consultant for a leading IT & Data Consultancy. You will help clients build robust data governance foundations and adopt responsible AI. You will create practical artefacts—policies, standards, operating models, and evaluation frameworks—that improve data quality, model reliability, risk posture, and compliance.

This is a hybrid role and although primarily home based you will be required to work on customer site when required

Responsibilities

• Deliver data governance workstreams, including policies, stewardship models, RACI, data quality monitoring and remediation.
• Implement metadata and cataloguing: business glossaries, lineage, classification, and sensitivity labels.
• Contribute to AI assurance across the lifecycle, including training data preparation, model selection support, evaluation and monitoring, and operational governance.
• Produce clear artefacts: governance frameworks, procedures, evaluation plans, risk assessments, and assurance reports.
• Run stakeholder workshops, capture requirements, and translate into actionable designs.
• Work collaboratively in multi-disciplinary teams and mentor junior consultants.

What you\\\’ll bring

• Proven experience in data governance delivery: policies, stewardship, data quality, metadata, privacy, and protection.
• Practical understanding of AI assurance: data preparation, model selection, evaluation, monitoring, and lifecycle governance.
• Strong consulting skills: problem-solving, facilitation, documentation, and stakeholder communication.
• Ability to work under broad direction and lead workstreams independently.
• Active SC clearance and willingness to travel to UK client sites.

Desirable

Experience in UK Central Government, Defence, or other regulated environments; familiarity with AI and data frameworks (DAMA-DMBOK, NIST AI RMF, ISO 23894, ISO 27001, GDPR/DPA 2018); hands-on with platforms such as Microsoft Purview, Azure ML, Databricks, Power BI, Collibra, or Alation; exposure to MLOps practices.