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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Governance Lead - **Company:** BSI - **Location:** London, UK - **Experience:** Expert - **Salary:** £58,500.0 - £78,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Information Engineering, Data Governance, Meta-Data Management, Data Classification, Data Strategy, Data Layers, Data Management, Databricks - **Published:** July 15, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=b4b616469af865dd ## About the Role * Proven experience within a Data Governance, Data Management or related Data roles. * Practical experience with data stewardship, metadata management, and data quality disciplines. * Strong knowledge of data policy frameworks. * Strong communication and collaboration skills, with the confidence to present technical information to non-technical stakeholders. * Experience with Databricks. * Knowledge of DAMA-DMBOK, DCAM, or equivalent data management frameworks would be nice to have. * AI/ML experience is required for one of the roles. ## Description Due to growth, we are hiring for two Data Governance Lead's to join us permanently on a hybrid working basis. With this role, you will be responsible for supporting the effective implementation and operation of the enterprise data governance framework. One of the two roles will have a focus on AI/ML. In this role you will report to the Head of Data Governance, the role focuses on embedding governance standards, stewardship, and data quality practices across the organisation, working closely with business and technology teams to improve trust, consistency, and regulatory compliance of data assets. The Data Governance Lead role is delivery-focused, and partners closely with business and technology leaders to embed governance principles into the enterprise, driving data quality and enabling the organisation's data governance strategy through strong execution, stakeholder engagement, and continuous improvement., * Implement and embed the enterprise data governance framework, ensuring governance standards, policies, and processes are adopted consistently across the organisation. * Lead and support the data stewardship operating model, partnering with Data Owners and Stewards to establish clear accountability and governance practices. * Drive the definition, maintenance, and adoption of business data definitions, taxonomies, standards, and critical data assets across key data domains. * Manage and continuously improve data quality capabilities, including the definition, monitoring, reporting, and remediation of data quality issues and metrics. * Oversee metadata management, data cataloguing, lineage, and data classification activities to improve data transparency, discoverability, and trust. * Facilitate Data Governance Councils, Stewardship Forums, and governance committees, providing reporting, action tracking, and governance insights to senior stakeholders. * Partner closely with business, technology, architecture, analytics, security, and compliance teams to embed governance controls into data platforms and business processes. * Promote a culture of data ownership, regulatory compliance, and continuous improvement, supporting initiatives that enhance data literacy, governance maturity, and enterprise-wide trust in data. AI/ML Role: AI, Data Layer & Metadata Management * Define and maintain data governance standards for the data layer, including quality, metadata, lineage, access, and usage * Own and prioritise the data governance backlog for AI / Data Layer, assessing risk, regulatory impact, and enterprise dependencies * Ensure data models, structures, and pipelines align with governance policies and approved business definitions * Monitor and improve data quality, completeness, and consistency across domains and use cases * Partner with domain owners, data engineering, and product teams to embed governance into delivery processes * Provide assurance on compliance with data protection, security, and audit requirements ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Why Your AI Agent Keeps Hallucinating Your Data: Building Deterministic Context Layers](https://www.wearedevelopers.com/videos/2055-why-your-ai-agent-keeps-hallucinating-your-data-building-deterministic-context-layers) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [How to govern Vibe Coding for the Enterprise](https://www.wearedevelopers.com/videos/100290-how-to-govern-vibe-coding-for-the-enterprise) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Panel Discussion: Responsible AI in Practice - Real-World Examples and Challenges](https://www.wearedevelopers.com/magazine/488-panel-discussion-responsible-ai-in-practice-real-world-examples-and-challenges)