Senior Data & AI Governance Consultant

Data Careers; Greater London; Hybrid; GBP 90,000 - 95,000; Full time

Job summary

A leading IT & Data Consultancy seeks a Senior Data & AI Governance Consultant to strengthen data governance foundations and responsible AI adoption. You'll primarily work from home, with travel to client sites as needed. Responsibilities include developing data governance policies, monitoring data quality, and ensuring compliance through effective frameworks and artefacts. The salary ranges between £90,000 and £95,000, accompanied by benefits.

Qualifications

• Proven experience in data governance and AI.
• Ability to deliver robust data management frameworks and policies.
• Experience with metadata cataloguing and AI assurance processes.

Responsibilities

• Deliver data governance workstreams and policies.
• Implement metadata management and cataloguing.
• Contribute to AI assurance across the lifecycle.
• Produce governance frameworks and risk assessments.

Skills

Data Governance

AI Assurance

Metadata Management

SC Clearance

Job description

Senior Data & AI Governance Consultant

Permanent

Location: Home Based - with travel to client sites

Salary: £90,000 - £95,000 (+ 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

What you'll do

• 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.

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