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Senior Data & AI Governance Consultant

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DataCareers

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Location:
United Kingdom

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Category:
Consulting

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Contract Type:
Not provided

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Salary:

90000.00 - 95000.00 GBP / Year
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Job Description:

Senior Data & AI Governance Consultant. 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.

Job Responsibility:

  • 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
  • Support benefits tracking (e.g., data quality uplift, lineage coverage, model performance, incident reduction)
  • Work collaboratively in multi-disciplinary teams and mentor junior consultants

Requirements:

  • 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

Nice to have:

  • 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

Additional Information:

Job Posted:
January 03, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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