Director, Enterprise Data Management (US)

natgridProd•Waltham, MA

3d•$185,000 - $215,000•Hybrid

About The Position

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 hiring a Director, Enterprise Data Management (US). This hybrid role sits in out Waltham, MA office. Job PurposeThe Director, Enterprise Data Management is a senior governance and stakeholder leadership role accountable for enterprise data model governance and cross-program data interdependency management across the US business. The role enables large-scale data architecture change across multiple technology stacks by establishing decision rights, forums, and practical triage so teams can deliver quickly without fragmenting enterprise data.

Requirements

Bachelor’s degree in Information Systems, Business, Computer Science, Engineering, or related field
Extensive experience in enterprise data management, data governance, or large-scale transformation environments; experience with platform modernization and complex program portfolios preferred.
Strong working knowledge of enterprise data modeling concepts and governance practices, including stewardship, metadata, data quality, and lineage.
Practical understanding of how data architecture change affects integration and downstream consumers such as reporting, analytics, and regulatory needs.
Familiarity with common data catalog/glossary, modeling, and portfolio delivery tooling; ability to define required artifacts and embed them into delivery routines.
Strong change management mindset with a track record of driving adoption across multiple business units.
Proven ability to lead in a matrixed environment and influence without direct authority across business and technology organizations.
Demonstrated experience running senior governance forums and driving decisions with clear accountability and follow-through.
Strong facilitation and communication skills, able to translate between technical teams and non-technical stakeholders.
Skilled in negotiation and conflict resolution; comfortable challenging constructively and aligning competing priorities.
Experience coaching data owners, stewards, analysts, and architects on governance expectations and ways of working.

Nice To Haves

Master’s degree preferred.

Responsibilities

Own governance of the enterprise data model, including enterprise definitions, canonical entities, domain boundaries, and relationships; maintain coherent model evolution through clear change control and documentation.
Establish and run the data governance operating model across the US business, including charters, decision rights, RACI, escalation paths, and a predictable cadence of councils and working groups.
Operate an intake and triage mechanism that routes data issues and change requests to the right owners, drives timely decisions, and tracks outcomes through implementation and adoption.
Lead cross-program data interdependency management across major initiatives, proactively identifying collisions and sequencing needs across process, system, integration, reporting, and analytics impacts.
Provide enterprise-level “design tension” across solution architecture, business data leads, and delivery teams to prevent local optimization from degrading enterprise consistency or downstream usability.
Adjudicate sources of record for enterprise-critical data elements when duplicative sources exist; publish decisions and ensure they are embedded into integration patterns, data products, and reporting.
Define and socialize enterprise standards and required artifacts (definitions, metadata expectations, data contracts, decision logs) that enable traceability and reusable implementation guidance.
Partner with Risk, Security, Privacy, Compliance, and Audit stakeholders to ensure governance supports controls, documentation, and appropriate access and change management for high-impact data.
Build senior stakeholder alignment through facilitation, clear communications, and conflict resolution; translate complex data topics into business outcomes and decisions needed.
Define and report governance effectiveness measures such as decision cycle time, rework avoided, standard adoption, and quality improvements on critical data elements.