VDOT Program Manager - Data and GIS Governance

Data Governance Manager

This position plays a critical role within VDOT's enterprise data management initiatives. It drives the strategy, coordination, and execution of data governance, GIS governance, and master data management activities across a large, complex organization. The role ensures VDOT's data assets are high-quality, well managed, properly stewarded, and leveraged effectively to support enterprise decision-making, operational efficiency, and long-term digital transformation goals.

The job is located in the vibrant city of Richmond, VA, offering a blend of historic charm and modern amenities. This location provides a dynamic environment for professionals seeking to make a significant impact in public service.

Key Responsibilities

• Participate in VDOT's enterprise data governance framework, ensuring consistency, accountability, and effective data stewardship.
• Oversee master data management efforts supporting mission?critical datasets.
• Champion data lifecycle best practices from creation and storage to archival ensuring alignment with regulatory, operational, and security requirements.
• Manage and mature metadata standards, data dictionaries, classification systems, and documentation practices.
• Drive remediation strategies for data quality issues by collaborating closely with business units, technical teams, and subject matter experts.
• Provide strategic direction for geospatial governance, ArcGIS platform utilization, and integration of GIS capabilities into enterprise processes.
• Support adoption of emerging data tools, technologies, and platforms, ensuring VDOT remains modern, efficient, and data?driven.
• Communicate complex data topics clearly to technical and non?technical audiences; develop training, guidance materials, and governance communications.
• Facilitate cross?functional working groups, ensuring alignment on data priorities and policies.

Qualifications

• Extensive experience leading enterprise data programs within a large organization.
• Deep understanding of data governance principles, frameworks, and industry best practices.
• Proven capability in managing the full data lifecycle within complex organizational structures.
• Expertise in metadata management, data quality enhancement, and building sustainable data documentation processes.
• Strong problem?solving skills with a track record of designing scalable processes and governance mechanisms.
• Ability to translate abstract or technically complex concepts into approachable, actionable insights.
• Excellent verbal and written communication skills for executive?level and cross?functional engagement.