Data Governance Lead

Credigy•Norcross, GA

11d•Hybrid

About The Position

As a leader on the Data Science & Analytics team, you’ll advance Credigy’s enterprise data governance strategy and make it real in day-to-day practice. You’ll partner with business, technology, and data and analytics teams to improve data quality, transparency, and accountability. You’ll also drive adoption of governance practices across the organization. Your work will support data and model operations, analytics, and AI initiatives, so the data behind them is reliable and scalable. Success means colleagues across Credigy know who owns their data, trust what it tells them, and can see where it came from.

Requirements

Bachelor’s degree in a relevant field
5+ years of experience in data governance, data management, data quality, metadata management, or a related area
Experience implementing and operationalizing enterprise data governance practices and solutions
Strong knowledge of data governance concepts, including data ownership, stewardship, data quality, metadata, lineage, and access governance
Experience with Snowflake, SQL, Azure, GitHub, and third-party data governance platforms
Strong leadership, project management, communication, and cross-functional collaboration skills
Ability to translate governance requirements into practical business and technical processes

Nice To Haves

Financial services experience

Responsibilities

Lead the evaluation, procurement, implementation, and ongoing management of enterprise data governance solutions and supporting tools.
Own the Enterprise Data Glossary, continuously enhancing it while establishing clear data ownership and stewardship responsibilities across the business.
Build and maintain the Enterprise Data Quality Repository, including data quality rules, issue tracking, remediation, and monitoring.
Establish and maintain enterprise data lineage, giving teams transparency into data sources, transformations, dependencies, and downstream consumption.
Drive adoption of the Data Governance Policy and standards, coordinating recurring Data Governance Committee meetings, monitoring key governance metrics, and following through on actions.
Partner with technology and business stakeholders on the enterprise data roles and permissions strategy so access to data is appropriate and well governed.
Partner with data and model operations, analytics, and AI teams to ensure the data, metadata, quality, lineage, and governance foundation supports reliable, scalable use cases.
Manage third-party data solutions, including evaluating new providers, overseeing implementation, addressing data usage considerations, and maintaining vendor relationships and external data integration.