Data Governance Principal - Remote
Kenner, Jefferson Parish, Louisiana, 70062, USA
Listed on 2026-05-30
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IT/Tech
Data Analyst, Data Warehousing
We've made a lot of progress since opening the doors in 1942, but one thing has never changed - our commitment to serve, heal, lead, educate, innovate. We believe that every award earned, every record broken and every patient helped is because of the dedicated employees who fill our hallways.
At Ochsner, whether you work with patients every day or support those who do, you are making a difference and that matters. Come make a difference at Ochsner Health and discover your future today!
The Data Governance Principal plays a strategic role in shaping how healthcare data is defined, organized, and trusted across the enterprise. This senior position is responsible for developing and implementing the frameworks, standards, and processes that ensure our data is accurate, accessible, compliant, and meaningful to the business.
Working closely with analytics, technology, and business leadership, the Principal will lead the development of the Enterprise Data Catalog, business glossary, and metadata management standards. This role also partners with the Data Management and Architecture teams to strengthen data quality practices and define measurable KPIs for improvement.
This is a full‑time individual contributor role (remote with occasional travel to New Orleans) that influences enterprise data strategy through governance, stewardship, and enablement.
What you will do- Serve as the primary operational and technical owner for the Enterprise Data Catalog and lead its evolution, managing ongoing platform curation, metadata ingestion schedules, updates, and quality control.
- Support the implementation of a roadmap for the catalog, including milestone planning, new feature evaluation, upgrades, and coordination of technical needs with IT and platform vendors.
- Oversee the development and maintenance of the Business Glossary
, including research, stakeholder review, and governance through the Executive Steering Council. - Create and support a process for certification of data and analytics assets.
- Promote adoption and engagement through user enablement initiatives, such as training materials, webinars, workshops, and one‑on‑one support for business and analytics users.
- Create and maintain reports using Alation Analytics (or similar tools) to measure catalog usage, engagement, and content completeness.
- Implement governance frameworks for data asset categorization and access management to improve discoverability, reuse, and compliance.
- Partner with Data Management teams to establish data quality metrics, measurement processes, and improvement plans.
- Support and enable data stewardship, developing communities of practice and guidance for stewards across departments.
- Lead periodic governance and access audits to ensure proper data use, compliance, and portfolio optimization.
- Measure and communicate program effectiveness, providing regular updates and recommendations to executive stakeholders.
- Publish a monthly Data Governance newsletter summarizing decisions, progress, and upcoming initiatives.
- Strong knowledge of healthcare data, regulations, and workflows (minimum 3 years in healthcare).
- Solid understanding of privacy, security, and compliance standards (e.g., HIPAA, HITRUST, etc.).
- Proven ability to influence at multiple organizational levels and communicate complex data concepts to non‑technical stakeholders.
- High emotional intelligence and facilitation skills to navigate competing priorities and drive consensus.
- Excellent written communication and documentation skills.
- Bachelor’s degree required;
Master’s preferred. - 1‑3 years of experience utilizing and managing a metadata governance platform (e.g., Alation, Collibra, Atlan, etc.).
- At least 1 year of experience in data quality management.
- 1‑3 years of SQL (ability to pull simple queries and understand code).
- Exposure to cloud‑based data platforms (specifically Snowflake or Data Bricks).
- 1+ years of experience with business intelligence tools (e.g., Tableau, Power BI, Sigma).
- 3 years of experience writing and interpreting SQL queries.
- Experience with scripting or API integration (Python preferred) for automation or metadata management…
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