Digital Product Engineer

Every day, we deliver safe and secure energy to homes, communities, and businesses, connecting people to the energy they need for their lives. Our expertise and track record position us uniquely to shape the sustainable future of our industry as the pace of change accelerates. To succeed, we must anticipate customer needs, reduce energy delivery costs, and pioneer flexible energy systems.

This requires delivering on our promises and seeking opportunities for growth.

In IT and Digital, we collaborate closely with the diverse energy businesses within the National Grid group, revolutionizing operations through technology. Embracing modern methodologies and digital mindsets, we drive efficiency and bring new capabilities to internal and external customers as we lead the charge toward a carbon-free future.

Our work is critical, as National Grid powers millions of homes and businesses across the UK and US, and the technology we employ is vital to this task. The successful applicant for this position will play a crucial role in our mission, supported by our multicultural, customer-centric global team, with opportunities for professional development.

This role operates under a hybrid working model and is open to candidates based in either our Waltham, MA or Brooklyn, NY office locations. Hybrid work expectations are subject to business needs and company policy.

This is a senior technical leadership position sitting at the intersection of AI platform strategy, enterprise architecture, delivery execution, and NGV business value. You will own and evolve NGV's AI, data, and digital platform product portfolio — translating business priorities into secure, scalable, and reusable platform capabilities across Generation, Competitive Transmission, Asset Development, large-load growth, and emerging business models.

• Define and own the product vision, roadmap, and investment narrative for NGV's AI, data, and digital platforms
• Translate NGV business priorities into a sequenced portfolio of platform capabilities balancing delivery needs with scale
• Drive reusable platform capabilities — build once, scale across business units, regions, and repeatable use cases

Technical Product Ownership

• Own technical product definition covering agentic workflows, RAG/GraphRAG, vector search, MCP/API integrations, model governance, and AI output quality controls
• Shape Azure-native designs (Azure OpenAI, AI Search, Document Intelligence, Cosmos DB, Container Apps/Kubernetes, Entra , API Management) with architecture and engineering teams
• Ensure solutions are secure, scalable, cost-aware, and aligned to National Grid architecture, cloud, security, and AI standards
• Define integration patterns for enterprise data sources including Maximo, SAP, Primavera P6, SharePoint, Cognite, ISO/RTO feeds, and third-party data providers
• Own decisions around build vs. buy vs. configure, ETL/ELT pipelines, data quality, metadata, lineage, and API design

Senior Stakeholder Engagement & Delivery

• Act as the senior product interface with NGV leaders across Generation, Transmission, Asset Development, commercial, regulatory, and operations
• Lead products through discovery, MVP, scale, operate, and optimize — with clear scope, acceptance criteria, release plan, and value measures
• Define success metrics (adoption, time saved, accuracy, risk reduction, revenue enablement) with 30/60/90-day tracking and evidence-based reporting
• Embed RBAC, encryption, data classification, model cards, human oversight, audit logs, and responsible AI controls into every product
• Support governance forums, investment cases, architecture submissions, and executive reviews with clear value, cost, risk, and delivery trade-offs

• Significant experience in senior digital product management, AI/data/platform delivery, or technology-enabled transformation in complex enterprise environments
• Proven track record owning AI, data, cloud, or digital platform products from discovery through MVP, scale, and continuous improvement
• Deep practical knowledge of Azure-native patterns: identity, access, networking, AI services, data stores, observability, CI/CD, and…