Manager of Data Governance

Encore Fire Protection•Needham, MA

23h•Hybrid

About The Position

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

Requirements

Bachelor’s degree in computer science, Data Science, Information Systems, Business, or a related field.
5+ years of experience in data governance, data management, or data operations with demonstrated success in building standards and driving adoption
Deep understanding of data governance, metadata management, data quality practices, master data, and data lifecycle controls
Exceptional relationship-building, communication, and influencing skills
Ability to drive change and accountability in complex organizations
Experience implementing enterprise data and analytics solutions

Nice To Haves

Master’s degree is a plus
Experience in multi-entity or field service environments
Private equity or high-growth environments
Certifications or training in data governance frameworks, methodologies, or standards, such as DAMA-DMBOK, ISO 8000, or DCAM

Responsibilities

Build, implement, and operate enterprise data governance frameworks, policies, and standards to ensure data quality, consistency, security, privacy, and compliance
Define and maintain data ownership, stewardship, classification, retention, and lifecycle controls in partnership with business and IT leaders
Design and manage governance workflows, including issue intake, triage, root cause analysis, remediation tracking, and continuous improvement
Act as a trusted data governance partner to the CIO and functional leaders, aligning governance priorities with business objectives
Partner with business and functional teams to identify where data quality issues or unclear definitions impact operations, reporting, or decision-making
Translate business needs into clear, practical data standards, definitions, and operating processes
Build strong, collaborative relationships across business units and IT to embed governance into day-to-day workflows
Promote a data-driven culture through shared definitions, trusted sources, and clear accountability
Influence stakeholders at all levels to adopt consistent and disciplined data practices
Partner with IT and data teams to implement governance-enabling tools and capabilities such as metadata management, data cataloging, lineage, and data quality monitoring (Collibra, Alation, Informatica Axon, MS Purview, etc.)
Support reliability and consistency of enterprise data by defining standards for master data, reference data, and critical business definitions
Define and track governance success metrics including data quality improvements, reduced rework, reporting consistency, and faster decision-making
Partner with business units to prioritize governance initiatives that deliver measurable operational and financial impact
Strengthen the data foundation for analytics and AI by ensuring trusted sources, clear definitions, lineage, and appropriate access controls
Support responsible AI adoption through governance practices addressing privacy, security, and appropriate usage