Data Governance Manager

Overview

Hudson Valley Credit Union is currently recruiting for the position of Data Governance Manager. Primary Function:
Develop and maintain a comprehensive data management vision for Hudson Valley Credit Union, establishing strategic roadmaps for data governance that align with organizational goals and maximize member value. Chair and facilitate the Data Governance Committee and Working Groups. Align governance priorities to strategic initiatives and risk management expectations. Coordinate data ownership and stewardship networks across lines of business, ensuring clear accountability for data quality, access, and issue resolution.

Engage with data stakeholders across departments, facilitating communication and collaboration to ensure the effective implementation of data governance standards and promote a culture of data stewardship.

• Collaborate with internal and external partners to design and implement a robust data governance framework tailored to Hudson Valley Credit Union's strategic objectives. This includes developing policies, standards, and best practices that advance organizational data maturity.
• Conduct ongoing assessments of data maturity in partnership with selected vendors and cross‑functional stakeholders, ensuring all processes align with industry‑recognized frameworks such as DMBOK.
• Establish and oversee a data stewardship program by working closely with data owners, engineers, and business units to uphold high standards of data quality, transparency, and ethical data use.
• Serve as the primary liaison to AI Governance and product teams, ensuring all data governance initiatives directly support responsible and compliant AI/ML, GenAI, and Agentic AI development and deployment.
• Continuously monitor, measure, and enhance data governance activities to drive measurable improvements, ensuring regulatory compliance and maintaining the ongoing integrity and security of organizational data.
• Bring advanced expertise in data architecture, data management, and governance technologies, guiding teams in the design, implementation, and optimization of scalable data solutions that support AI/ML applications.
• Oversee metadata management, business glossary development, and data lineage documentation to reduce ambiguity and rework. Improve visibility into custom fields, downstream impacts, and source‑to‑target mappings across the data ecosystem.
• Oversee the full lifecycle of data assets, from acquisition and storage to usage, compliance, and retirement. Ensure best practices for data quality, security, and integrity at every stage. Identifying and documenting critical data elements, establishing controls and monitoring, and developing reconciliation and certification processes for key reporting including finance and regulatory use cases.
• Champion responsible data practices, embedding compliance, ethical standards, and governance throughout all data management processes. Collaborate with legal and compliance teams to address data privacy, regulatory obligations, and ethical considerations.
• Prioritize the needs of clients, members, and internal stakeholders in all data‑related initiatives, leveraging research and analytics to enhance the impact of data‑driven solutions and improve user experience.
• Stay current with advancements in data governance, data ethics, and evolving regulatory landscapes, promoting professional development and fostering innovation in all data management activities.
• Track and report governance KPIs including definition adoption rates, data quality trends, certification coverage, access compliance, issue resolution cycle time, and stakeholder satisfaction. Present governance progress and escalations to senior leadership.
• Serve as the data governance liaison to the Chief AI Officer, ensuring data governance foundations (CDEs, lineage, ownership, access controls) support responsible AI/ML development. Coordinate with the AI governance program on shared policies, risk frameworks, and data readiness requirements.
• Establish and maintain governance policies and operating procedures covering data ownership and stewardship, data issue management, change impact assessment,…