Data Governance Manager

Overview

Company Overview At Encore Fire Protection, we are proud to be the East Coast's largest full-service fire protection company, serving over 90,000 customers from Maine to Louisiana. With a team of more than 2,400 dedicated employees, we provide customized fire protection solutions that protect lives and property every day. Our goal is to deliver a superior experience to those who trust us to safeguard what matters most.

We are passionate about continuous growth, innovation, and building a culture rooted in teamwork, success, and an unwavering commitment to safety.

Our mission? To be the best fire protection company the industry has ever seen.

We are seeking a Data Governance Manager to establish and lead Encore’s enterprise data governance program. Reporting directly to the CIO, this role is responsible for building the standards, operating model, and partnerships that ensure our data is trusted, secure, consistent, and ready to support operational excellence, analytics, and AI. This is a hands-on leadership role focused on turning ambiguity into clarity and helping the business confidently answer, “Can we trust this data?”

• Data Governance & Operations Establish and oversee enterprise data governance frameworks, policies, and standards to ensure data quality, consistency, security, privacy, and compliance.
• Data ownership & lifecycle Define data ownership, stewardship, classification, retention, and lifecycle controls in partnership with business and IT leaders.
• Governance workflows Build and operate governance workflows including issue intake, triage, root cause analysis, remediation tracking, and continuous improvement.
• Governance councils Lead governance councils and working groups to drive adoption, accountability, and consistent decision-making.

• Business Strategy & Enablement Serve as the primary data governance advisor to the CIO and senior leadership, aligning governance priorities with enterprise objectives.
• Gap identification Partner with business and functional leaders to identify where poor data quality or unclear definitions are impacting performance, then translate those gaps into actionable governance improvements.
• Standards & operating processes Convert business needs into practical data standards, definitions, and operating processes.

• Stakeholder Engagement Cultivate strong partnerships across business units and IT so governance is embedded in daily workflows.
• Data-driven culture Advocate for a data-driven culture by enabling shared definitions, trusted sources, and clear accountability.
• Influence Influence stakeholders at all levels to adopt disciplined, consistent data practices.

• Department Leadership Build and lead Encore’s data governance function, including developing a distributed network of data owners and stewards across the enterprise.
• Environment Create a collaborative, solutions-oriented environment that balances structure with business agility.

• Data Technology Stack & Performance Partner with IT and data teams to implement governance-enabling tools and capabilities such as metadata management, data cataloging, lineage, and data quality monitoring.
• Standards for data Support reliability and consistency of enterprise data by defining standards for master data, reference data, and critical business definitions.

• Value Obtainment & ROI Define and track governance success metrics including data quality improvements, reduced rework, reporting consistency, and faster decision-making.
• Prioritization Partner with business units to prioritize governance initiatives that deliver measurable operational and financial impact.

• Roadmap & Budgeting Develop and maintain a phased data governance roadmap aligned to enterprise priorities.
• Investments Partner with leadership to assess, justify, and prioritize investments in governance capabilities and tools.
• Delivery Ensure initiatives are delivered on time, within scope, and with measurable adoption.

• AI Enablement Strengthen the governance foundation required for analytics and AI by ensuring trusted sources, definitions, lineage, and appropriate access controls.
• Responsible AI Support responsible AI adoption…