Data Fabric Platform Manager

About us

At National Grid, our commitment to a cleaner, greener energy future is powered by the dedication and ingenuity of our people. Join our team as Data Fabric Platform Manager and be a part of something bigger-where your unique skills and passions can make a real difference. Together, we are superpowered.

National Grid is hiring a Data Fabric Manager on a permanent basis. This position can be based in Warwick or London. This role is designated as hybrid, with an expectation of 4-5 days per month in the office. Requirements may vary based on business needs and company policy.

As Data Fabric Platform Manager, you'll be accountable for the strategic leadership, operation and continual improvement of NGET’s enterprise Data Fabric. You'll ensure the Fabric becomes the backbone of NGET’s data strategy by providing trusted, governed, connected, high-performing data products across Electricity Transmission.

You'll blend platform management (secure, scalable, reliable infrastructure; operational excellence) and product management (roadmap, adoption, user experience, value realisation). Key responsibilties are the following:

• Mature the Data Fabric to ensure it continue to be enterprise-grade, reliable, performant and adopted at scale.
• Enable business-owned Data Products through intuitive tooling, governance, modelling and dynamic security.
• Fulfil NGET’s regulatory commitments, including Ofgem Data Best Practice
• Work with product line directors and the CIDO data team to increase adoption and simplify access to data for our internal and external stakeholders
• Connect the organisation’s data-applications, stores, APIs, and domains-into a single, discoverable and secure fabric that accelerates insights and the application of AI.
• Lead multi-disciplinary teams and suppliers to deliver modern data capability aligned to NGET’s federated operating model and RIIO-T3 ambitions.

The role is not only critical to enabling NGET’s digital transformation, but also to allow NGET to meet new Ofgem and industry guidelines, providing deep cloud expertise that empowers product and platform teams while ensuring safety, security, compliance and operational excellence.

• Set and own the Data Fabric platform strategy and roadmap, aligned to NGET digital strategy, Data Mesh principles, Ofgem obligations, and RIIO-T3 priorities.
• Lead the end-to-end operation of the Data Fabric platform, ensuring secure, scalable, reliable, and observable hybrid (SaaS + Azure) services.
• Drive platform innovation and continuous improvement, including automation, GenAI-assisted data product delivery, and increased platform maturity.
• Oversee data and platform engineering standards, including connectors, integration patterns, and modern high-code/low-code/AI workbenches.
• Manage the full product lifecycle for the Data Fabric, from discovery and design through launch, adoption, optimisation, and retirement.
• Enable trusted, governed, and discoverable data products through strong governance, security, modelling, and operational practices.
• Establish and test business continuity and resilience plans to protect critical data services and platform availability.
• Lead business process improvement initiatives, leveraging automation and new technologies to improve efficiency and effectiveness.
• Act as a senior stakeholder partner, influencing across technology, business, and regulatory groups to maximise platform adoption and value.
• Provide line management leadership, building high-performing teams, supporting resourcing, and fostering strong employee engagement and ways of working

• Senior leadership in a modern data platform or data product organisation, ideally in a regulated sector or large enterprise.
• Proven ownership of a hybrid cloud data platform, ideally involving SaaS control planes and Azure PaaS (AKS, APIM, ADLS2, Azure Functions, Key Vault).
• Experience with Data Mesh, federated models, domain-driven design and enterprise-wide data governance.
• Strong understanding of ETL/ELT, dbt, SQL, Trino/Presto, and data modelling for analytics.
• Delivery of large-scale data catalogue, metadata, lineage and data quality initiatives aligned to best…