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Data Governance & Master Data Lead @ Hypercube Consulting

Mandela Way, London AreaOnsiteFull-time
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About this role

Salary: £47,000 - 83,000 per year

Requirements: 10–15+ years in data governance and/or MDM within utilities, energy or another asset-heavy industryExperience delivering enterprise data governance and MDM frameworks through to adoption, not just designHands-on experience with Informatica, Collibra, SAP MDG or Microsoft PurviewStrong experience in ERP and data platform environments, with SAP S/4HANA preferredDeep understanding of data architecture across both IT and OT environmentsProven ability to influence without authority across global stakeholdersExperience managing hybrid teams of internal staff and outsourced expertsBachelors or Masters degree in Information Management, Data Science, Engineering or a related fieldDAMA, CDMP or equivalent data governance certification is a plusRenewable energy, utilities or infrastructure sector background is a plusExperience with asset lifecycle systems, including EAM, SCADA integration and digital twins, is a plusExperience standing up a governance function from zero rather than inheriting one is a plusExposure to AI-enabled governance and metadata management tooling is a plusExperience chairing or running senior governance forums with genuine decision rights is a plusChange management and enablement experience at organisational scale is a plusCommercial acumen, including building and defending the ROI case for governance investment, is a plusExceptional written and verbal communication across mixed technical and business audiences is a plus Responsibilities: Define and implement a Data Governance Framework aligned to DAMA-DMBOK, Gartner and leading utility practiceBuild a federated operating model that scales globally while keeping accountability localEstablish Data Owners, Stewards and Custodians across business and IT with clear accountabilityChair the enterprise Data Governance Committee and drive alignment across functionsDevelop and enforce policies and controls across data classification, privacy and lifecycle managementCover ESG and energy regulatory reporting obligations and align to ISO, NIST and sector standardsOwn enterprise MDM strategy across asset master data, customer and offtaker data, and supplier and vendor dataEstablish the golden source across ERP, EAM and SCADA interfaces, starting with financial use casesRun MDM platform selection and own implementation and adoptionDefine and track KPIs across accuracy, completeness, consistency and timelinessPut automated monitoring and remediation in place and lead root-cause analysis on systemic issuesPartner with Generation, O&M, Finance and Supply Chain to drive business accountabilityTranslate between technical teams and leadership so governance is adopted rather than just publishedLead the Master Data team, including internal staff and outsourced specialistsManage external specialists and advisory partners, including scope, KPIs, deliverables and costBenchmark against leading energy and utility organisations and assess AI-enabled governance and metadata management platforms Technologies: AIEAMEmbeddedERPInformaticaSupportSAP S/4HANASAP More:

We are Hypercube, a data-and-AI specialist focused on the energy sector. We pair deep domain knowledge with modern technology to help utilities, renewables and low-carbon innovators get value from their data. This is a permanent Hypercube role, embedded on-site with a global renewable energy developer and operator whose portfolio spans utility-scale solar, onshore and offshore wind, storage and green hydrogen across dozens of countries. The role is based in London and is on-site five days a week. We offer a full benefits package, including performance-related bonus, enhanced pension, enhanced maternity/paternity, private health insurance, health cash plan, peer cash award scheme, cycle-to-work scheme, events and community involvement, EV leasing scheme, a £2,000 annual training and events budget, and mentorship programmes. We welcome a broad mix of people and perspectives, and we support adjustments where needed.

last updated 34 week of 2026

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