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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Domain Expert - Data Governance, Stewardship & Information Management - **Company:** Methods Business - **Location:** Epsom, United Kingdom - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Data Governance, Data Infrastructure, Data Security, Data Sharing, Information Management, Interoperability, Metadata, Meta-Data Management, Reference Data, Snowflake, Data Strategy, Microsoft Fabric, Data Lineage, Collibra, Data Management, Databricks - **Published:** November 14, 2026 - **Apply:** https://www.apply4u.co.uk/jobs/domain-expert-data-governance-stewardship-information-management/56416941 ## About the Role Essential experience8+ years' experience in data governance, information management, data quality, master data management, metadata management, data strategy, information governance or related consulting/advisory work. Evidence of measurable impact, such as improved data quality, reduced reporting risk, better regulatory compliance, improved data sharing, successful data platform adoption, stronger data ownership or improved decision-making. Experience acting as a trusted advisor to senior data, technology, risk, compliance, operational or transformation stakeholders. Experience in consulting, public sector, regulated industries or large complex organisations. Strong understanding of data governance operating models, stewardship models, data ownership and governance implementation. Experience developing policies, standards, frameworks, roadmaps, maturity assessments, governance packs or data management playbooks. Experience with master data, reference data, metadata, data catalogues, data lineage, data quality, DLP, access controls or information governance. Experience working with sales and bid teams to shape data governance, data management or AI-readiness propositions. Experience contributing to communities of practice, training material, professional development or mentoring. Experience in highly regulated environments where data quality, traceability, security, compliance and auditability matter. Specialist competenciesData governance operating model design. Data stewardship and ownership models. Master data management strategy. Data quality assessment and remediation. Metadata, lineage and catalogue strategy. Data policy and standards development., Desirable experienceKnowledge of DAMA-DMBOK, DCAM, EDM Council, ISO 8000, ISO 27001, ISO 15489 or equivalent data/information management frameworks. Experience with Microsoft Purview, Collibra, Informatica, Ataccama, Alation, Azure, AWS, Databricks, Snowflake, Microsoft Fabric or similar platforms. Experience working with DPOs, SIROs, CISOs, enterprise architects, data platform teams and business data owners. Experience with GDPR, Data Protection Act 2018, Freedom of Information, records management, data sharing agreements or sector-specific data obligations. Experience building a data governance function, data office, stewardship network or data management community. This role will require you to have or be willing to go through Security Clearance. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard; details of the evidence required to apply may be found on the government website Gov.UK. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of this will be discussed with you at interview. ## Description These experts will be the thought leaders and subject-matter authorities for their domains, shaping propositions, guiding client delivery, and strengthening Methods' position in the market. RequirementsLead data governance, stewardship and information management engagements for public-sector and regulated-industry clients. Define enterprise, domain or programme-level data governance operating models, including decision rights, governance forums, data ownership, stewardship roles, escalation routes and accountability. Develop data policies, standards and controls covering data quality, metadata, lineage, cataloguing, access, sharing, retention, classification, acceptable use and lifecycle management. Shape master data management and reference data strategies, including golden source principles, matching, survivorship, stewardship, integration and ownership. Assess and improve data quality, including quality dimensions, issue management, root-cause analysis, remediation plans, quality dashboards and accountability mechanisms. Support clients with data sharing, interoperability and data access models across departments, business units, suppliers, regulators or operational partners. Advise on information governance, privacy, DLP and secure data access in partnership with cyber, architecture, legal, DPO and SIRO stakeholders. Help clients make data assets AI-ready by improving documentation, quality, stewardship, access controls, governance and reuse. Shape implementation roadmaps for catalogues, data quality tooling, MDM platforms, metadata management, governance workflows and stewardship communities. Support sales and bid teams by shaping data governance, data quality, MDM, information management and AI-readiness propositions., Sector experience we would valuePublic-sector data governance, information management, data sharing or reporting programmes. Energy, utilities or critical national infrastructure data environments. Defence primes, aerospace, aviation, space, secure engineering or complex supply-chain data environments. Financial services, insurance, healthcare, telecoms or other data-intensive regulated sectors. Organisations with large legacy estates, fragmented data ownership, complex supplier ecosystems or high audit/regulatory scrutiny.