Lead Analyst, Data Governance ESMP

About us

National Grid is hiring a Lead Data Trust & Governance Analyst ESMP for our Network Management department in Waltham, MA. This is hybrid role.

Every day we deliver safe and secure energy to homes, communities, and businesses. We are there when people need us the most. We connect people to the energy they need for the lives they live.

The pace of change in society and our industry is accelerating and our expertise and track record puts us in an unparalleled position to shape the sustainable future of our industry. To be successful we must anticipate the needs of our customers, reducing the cost of energy delivery today and pioneering the flexible energy systems of tomorrow. This requires us to deliver on our promises and always look for new opportunities to grow, both ourselves and our business

National Grid is seeking a Lead Data Trust & Governance Specialist to establish and grow a practical, business-focused Data Governance program for New England Electric.

Building on enterprise standards, existing Chief Data Office direction, and lessons learned from New York Electric partners, this role will translate governance into business value by improving data quality, clarifying ownership, reducing friction for business users, and ensuring critical data is trusted, understood, and fit for purpose. The role will partner across business, data, and technology teams to strengthen decision-making, improve operational and regulatory confidence, and enable future data, analytics, and AI capabilities.

This is a hands‑on role for someone who can turn standards in action - building relationships, solving data problems, and driving measurable outcomes, not simply creating policies and processes.

The ideal candidate is a relationship‑oriented problem solver who can work across business and technology teams, translate standards into practical action, and make data governance feel useful rather than burdensome. They are comfortable operating in ambiguity, influencing without direct authority, and balancing enterprise consistency with the day‑to‑day needs of business stakeholders.

• Identify, assess and prioritize existing problems with data completeness, accuracy, timeliness and quality
• Create a compelling pitch for right sized data governance that clearly articulates gaps or problems that can be solved by data governance

• Establish practical governance standards, operating routines, and engagement models aligned to enterprise direction.
• Partner with business leaders to define ownership, stewardship, and accountability for priority data domains.
• Build strong relationships across business, data, technology, Chief Data Office, and New York Electric teams to drive adoption and consistency.
• Create a governance approach that is easy for stakeholders to use and focused on business outcomes, not bureaucracy.

• Identify and prioritize critical data quality issues impacting operations, analytics, reporting, and decision‑making.
• Partner with data owners and SMEs to resolve root causes and prevent recurring issues. This can include ensuring others act on "bad data" or driving the improvement actions directly.
• Define practical quality measures, controls, and improvement plans for high‑value data.
• Drive measurable improvements in the trustworthiness, completeness, accuracy, and timeliness of critical data.

• Improve how users discover, understand, and access trusted data.
• Promote common business definitions, metadata, lineage, and documentation for priority data sets.
• Reduce ambiguity and improve transparency around data sources and quality.
• Advocate for…