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 PurposeThis 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 AccountabilitiesAI 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.
