Data Governance & AI Compliance Lead

CVFine by Instrovate Technologies

Greater London

Hybrid

GBP 85,000 - 110,000

Full time

14 days+
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Job summary

CVFine by Instrovate Technologies seeks a Data Governance & AI Compliance Lead in Greater London. This senior role focuses on building governance frameworks for AI systems under regulatory scrutiny. You will own the enterprise data governance framework, ensuring compliance with regulations like GDPR and the EU AI Act.

The ideal candidate has over 7 years of experience in data governance, strong stakeholder management skills, and hands-on experience with Microsoft Purview. A competitive salary of £85,000–£110,000 is offered, with hybrid work options available.

Qualifications

  • 7+ years of data governance or compliance experience with 2+ years in AI governance.
  • Hands-on experience with Microsoft Purview and AI governance frameworks.
  • Strong understanding of GDPR and other data privacy regulations.

Responsibilities

  • Own enterprise data governance framework and extend to AI systems.
  • Lead compliance with AI regulations like the EU AI Act and GDPR.
  • Define quality standards for data feeding AI systems.

Skills

Data governance
AI governance
Stakeholder management
Microsoft Purview

Education

DAMA CDMP
IAPP CIPP/E

Tools

Microsoft Purview

Job description

# Data Governance & AI Compliance LeadGlobal Regulated EnterpriseHybrid · London / Remote £85,000–£110,000 42 days ago 12 interestedData GovernanceAI GovernanceMicrosoft PurviewGDPRResponsible AI## Job DescriptionThe Data Governance & AI Compliance Lead is a new category of senior specialist that enterprises urgently need: someone who understands both traditional data governance and the emerging AI governance requirements that regulators, boards and customers are demanding. As AI systems proliferate, the governance gap is becoming a serious risk — this role closes it.Role & Responsibilities:• Own the enterprise data governance framework and extend it to cover AI systems: cataloguing, lineage, classification, quality standards and access policies using Microsoft Purview• Design and operate the AI governance framework: pre-deployment AI risk assessments, bias audits, explainability requirements, model cards and AI system registers• Lead compliance with AI-relevant regulations: EU AI Act, GDPR data minimisation in AI pipelines, FCA AI guidance, DORA• Work with AI delivery teams to embed governance into AI development: reviewing training data for bias, assessing AI outputs for fairness• Define data-for-AI quality standards: ensuring data that feeds AI systems meets accuracy, completeness and representativeness requirements• Build and chair the AI governance committee: bringing together legal, compliance, data, technology and business stakeholders• Produce AI governance reporting for the board, regulators and external auditors• Develop AI ethics guidelines and responsible use policies practical enough for engineering teams and rigorous enough for regulatorsRequired Skills & Experience:• 7+ years of data governance, data management or compliance experience with at least 2 years focused on AI governance• Hands-on Microsoft Purview experience: scanning, classification, lineage, policy enforcement and Fabric integration• Working knowledge of AI governance frameworks: EU AI Act risk categories, NIST AI RMF, ISO 42001• Experience with data privacy regulations applied to AI: GDPR lawful basis for AI processing, PII in training data• DAMA CDMP preferred; IAPP CIPP/E is a strong advantage• Experience in a regulated industry: financial services, healthcare, insurance or government• Strong stakeholder management: you can explain AI governance to a CTO and AI ethics to a board non-executiveWhat We Offer:• Senior governance leadership with board-level visibility• Salary £85,000–£110,000 based on experience• Hybrid — London office and remote• Strategic role at the intersection of data, AI and regulatory complianceThe Data Governance & AI Compliance Lead ensures an organisation can say, under regulatory scrutiny, that it knows what AI systems it has, what data they use and what risks they carry. If you have built governance frameworks that survived regulatory examination, this role is for you.
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