Digital Product Engineer

National Grid; Waltham (MA); Hybrid; USD 142,000 - 178,000; Full time

Job summary

National Grid seeks a senior technical leader to own NGV's AI, data, and digital platform portfolio, translating business priorities into secure, scalable platform capabilities. You will collaborate with architecture, security, and engineering teams to shape Azure-native designs and deliver repeatable solutions across Generation, Transmission, Asset Development, and commercial units.

Hybrid work in Waltham or Brooklyn.

Qualifications

• Senior digital product management experience 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

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, 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 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

Skills

Platform strategy

Tech product ownership

Azure-native patterns

Data integration

Stakeholder engagement

Governance AI

Enterprise architecture

Tools

Maximo

SAP

Primavera P6

SharePoint

Cognite

OpenText/Autodesk

Job description

About us

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.

Job Purpose

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.

Key Accountabilities

AI Platform Strategy & Product Roadmap

• 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 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

Data, Integration & Architecture Alignment

• 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

Governance, Risk & Responsible AI

• 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

Qualifications

• 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

Preferred

• 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

#LI-RK1 #LI-HYBRID

Salary

Waltham: $142k - $166k a year

Brooklyn: $152k- $178k a year

National Grid will not be providing visa sponsorship for this position now or in the future. You must have the ability to work without a need for current or future visa sponsorship.

National Grid utilizes an assessment that evaluates the job qualifications/characteristics using AI or statistically based scoring. For more information, please view NYC Local Law 144.

This position has a career path which provides for advancement opportunities within and across bands as you develop and evolve in the position; gaining experience, expertise and acquiring and applying technical skills. Candidates will be assessed and provided offers against the minimum qualifications of this role and their individual experience.

National Grid is committed to providing equal employment opportunities to all employees and applicants for employment regardless of protected class. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, or any other protected status in accordance with applicable federal, state, and local laws. National Grid maintains affirmative action programs for individuals with disabilities and protected veterans.

Our employment practices are designed to ensure that all individuals are treated fairly and with respect throughout the hiring process and during employment. National Grid complies with all applicable federal, state, and local anti-discrimination laws. We are dedicated to fostering a workplace that is free from unlawful discrimination and harassment, and we encourage a culture of respect for all.