Digital Product Engineer
About The Position
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.
Requirements
- 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 infrastructure-as-code
- Hands-on knowledge of enterprise AI: LLM applications, RAG/GraphRAG, vector search, AI agents, prompt engineering, output evaluation, and model governance
- Strong understanding of data engineering patterns including ETL/ELT, APIs, data quality, metadata, lineage, master data, and secure enterprise data access
- Ability to translate complex technical trade-offs into business-relevant choices, risks, costs, and decisions for senior leaders
Nice To Haves
- Domain knowledge in energy, utilities, generation, competitive transmission, asset development, large-load/data-centre demand, or RTO/ISO markets
- Familiarity with Maximo, SAP, Primavera P6, SharePoint, OpenText/Autodesk, Cognite, or similar enterprise platforms
- Experience with platform resilience: multi-AZ/region, autoscaling, SLA/SLO definition, performance testing, and cost optimization
- Experience with AI governance tooling such as Microsoft Purview, Langfuse, OpenTelemetry, or equivalent LLM observability platforms
Responsibilities
- 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
- 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 ID, 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
- 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
Benefits
- Opportunities for professional development
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
