Manager - Data Governance

Central Hudson•Poughkeepsie, AR

22h•$126,500 - $196,100

About The Position

The Manager – Data Governance leads the design, implementation, and operationalization of the enterprise data and AI governance program. This role establishes governance frameworks that define how data is created, managed, protected, and trusted across the organization. Responsibilities include data quality, lifecycle management, cataloging, inventory management, data dictionary development, owner and steward enablement, and governance controls that ensure data integrity across systems and integrations. The Manager partners closely with Business, Application Services, Analytics, and Cyber teams to align, standardize, and govern enterprise data assets.

Requirements

Bachelor's degree in Information Management, Computer Science, Data Science, or a closely related field, and 5+ years of experience designing and implementing data governance programs, frameworks, and operating models.
Experience with data governance and data catalog platforms such as Microsoft Purview, Collibra, or Alation
Experience with data quality principles, metrics, controls, and governance tooling
Experience establishing and supporting data owner and data steward accountability models
Strong understanding of data lifecycle management, metadata management, and data governance best practices
Ability to translate governance concepts for both technical and non-technical audiences
Ability to build cross-functional alignment and influence stakeholders across multiple business areas
Strong analytical, organizational, documentation, and communication skills
Detail-oriented self-starter with the ability to operate independently in a greenfield environment
Valid driver's license

Nice To Haves

Data governance or data management certification (CDMP, DAMA-DMBOK)
Familiarity with AI governance and responsible-AI frameworks
Experience working in the utility industry or other highly regulated environments

Responsibilities

Designs and builds the enterprise data governance framework, including operating models, policies, standards, and processes
Establishes and maintains the enterprise data catalog, data dictionary, and data inventory as authoritative sources for data asset definitions
Defines governance processes for the creation, classification, management, protection, and lifecycle of data assets
Identifies, onboards, and enables data owners and stewards through training, accountability frameworks, and governance best practices
Assesses application integrations for governance gaps and enforces data integrity, consistency, and standardization across systems
Develops data quality controls, metrics, and dashboards to measure, monitor, and improve data health across business domains
Partners with Business, Application Services, Analytics, and Cyber teams to prioritize governance initiatives based on risk and business value
Supports Analytics with governed, trusted, and fit-for-purpose data for reporting, insights, and decision-making
Defines and enforces enterprise-wide data standards, naming conventions, and governance policies
Establish AI governance – sanctioned model/ tool registry, AI use-case intake and acceptable-use policy with Cyber and Enterprise Architecture
Builds and manages the data and AI governance roadmap, including milestones, quick wins, and long-term maturity objectives
Provides support for storm restoration efforts