Lead Data Engineer

natgridProd•Waltham, MA

2d•$126,000 - $178,000•Hybrid

About The Position

At National Grid, we keep people connected and society moving. But it’s so much more than that National Grid supplies us with the environment to make it happen. As we generate momentum in the energy transition for all, we don’t plan on leaving any of our customers in the dark. So, join us as a Lead Data Engineer and find your superpower. We want to find an innovative, adaptable, and results-oriented Lead Data Engineer for our IT & Digital department. This position can be located in Waltham, MA, Brooklyn, NY, or Syracuse, NY (candidates may also reside in either Connecticut, New Jersey, New Hampshire, Pennsylvania, Rhode Island, Vermont, Maine or the UK). If you yearn to be innovative, contribute new ideas, and play a critical part on our team, we want to hear from you! National Grid is hiring a Lead Data Engineer for our IT and Digital team. This role is designated as hybrid, with an expectation of one or two days per month in one of our offices. Requirements may vary based on business needs and company policy. Job Purpose As Lead Data Engineer, you will shape Customer Domain data capabilities to meet business objectives. You will lead the design and implementation of Customer Data solutions, provide technical guidance for related programs and products, and oversee end-to-end development of the Customer data platform.

Requirements

Bachelor’s or master’s degree in data science, Computer Science, Analytics, Engineering, Information Systems, or related field is preferred
10+ years of experience leading data, analytics, or AI initiatives in complex organizations
5+ years of people leadership experience
Proven expertise in enterprise data strategy, analytics, and governance
Strong technical fluency across data platforms, analytics tools, and AI/ML concepts
Ability to influence senior leaders and translate technical concepts for non-technical audiences
Programming: Python, SQL.
Cloud Platforms: Azure (Preferred), AWS, Google Cloud (GCP).
Databases & Warehouses: Snowflake, SQL/NoSQL databases.
Tools: Matillion, CDC (Qlik, SSIS), Power Bi

Nice To Haves

Utility, energy, or infrastructure industry experience
Advanced degree or relevant certifications (AI/ML, cloud, data engineering)
Familiarity with Agile/Scrum and formal change management methodologies

Responsibilities

Execute and evolve a multi-year data, analytics, and AI strategy aligned to National Grid Enterprise architecture team to support digital priorities
Continuously adapt the strategy as technology and AI capabilities evolve to maximize value realization
Establish a federated data and analytics model that enables speed, consistency, and business ownership
Lead data governance, quality, and stewardship in partnership with IT and business leaders
Ensure data is accessible, reliable, secure, and compliant with regulatory, privacy, and cybersecurity requirements
Co-lead a Data Governance Council that drives accountability and standards
Oversee development of analytics, reporting, machine learning, and AI solutions that deliver actionable insight
Advance predictive and prescriptive analytics to support safety, asset health, leak detection, capital planning, and workforce optimization
Guide responsible adoption of Generative AI and automation to improve productivity and decision-making
Serve as a trusted partner to executives and business leaders—translating complex data into clear, compelling insights
Lead enterprise dashboards, KPIs, and performance reporting tied to safety, reliability, efficiency, and customer outcomes
Build self-service analytics capabilities and data literacy across the organization
Build, lead, and develop a high-performing team of data scientists, engineers, analysts, and visualization experts
Foster a culture of curiosity, innovation, and continuous improvement
Partner closely with Process Improvement, Change Management, and IT to ensure adoption and sustained impact