Director Data Governance

HomeServe USA•Norwalk, CT

5h•Onsite

About The Position

The Director of Data Governance is the organization’s first enterprise data governance leader, responsible for designing and scaling governance capabilities from the ground up. This role defines the governance vision, strategy, and operating model, bringing trust, accountability, and consistency to how data is created, managed, and used. Operating in a low‑maturity environment, this leader serves as both strategic architect and hands‑on change agent, partnering across business, technology, legal, security, and data teams to embed governance into day‑to‑day operations.

Requirements

Bachelor’s degree in Information Systems, Data Management, Computer Science, Business, or a related field required
Proven experience establishing or transforming enterprise data governance frameworks and operating models, particularly in low maturity or greenfield environments
Strong understanding of data, analytics, and data platform ecosystems (including DataZone)
Demonstrated ability to operate in ambiguity and influence senior leaders without formal authority
Knowledge of data privacy, security, and regulatory requirements
Experience defining and driving clear ownership and accountability for critical enterprise data
Proven capability to drive measurable improvements in data quality, consistency, and trust
Excellent communication and change‑management skills

Responsibilities

Define the enterprise data governance vision, roadmap, objectives, and KPIs; position governance as a business enabler.
Build and implement governance structures, decision rights, roles (owners, stewards), workflows, and escalation paths; scale governance incrementally by priority and risk.
Identify critical data assets and CDEs, establish clear ownership, and deliver the organization’s first business glossary.
Develop baseline governance policies and standards in partnership with Legal, Privacy, Risk, and Security; enable audit and regulatory readiness with minimal friction.
Define data quality standards, metrics, and issue‑resolution processes; improve confidence in reporting, analytics, and decision‑making.
Ensure data classification, appropriate access controls, and privacy‑ and security‑by‑design practices.
Educate stakeholders, influence platform and architecture decisions, and embed governance into data and analytics workflows to support advanced capabilities such as AI/ML.
Establish and evolve enterprise data governance frameworks, operating models, and foundational practices in low‑maturity or greenfield environments.
Define and drive data ownership, accountability, and data quality standards to improve consistency, trust, and usability of critical enterprise data.
Partner with and influence senior business and technology leaders, operating effectively in ambiguity to align governance with business priorities.
Ensure governance practices align with data privacy, security, and regulatory requirements and support compliance readiness.
Lead communication, change management, and enablement efforts to drive adoption of data governance principles and ways of working.