Jobs › Data Governance and Metadata Scientist
Data Governance and Metadata Scientist
Job at a glance
- Category
- Data Governance
- Work arrangement
- On-site
- Location
- Doral, FL
- Salary range
- $99,000 to $225,000
- Posted
- Aug 31, 2026
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Booz Allen Hamilton is hiring a Data Governance and Metadata Scientist in Doral, FL. This is a Data Governance job in the governance, risk, and compliance field, with a posted range of $99,000 to $225,000. Review the full details below and apply directly with Booz Allen Hamilton.
Data Governance and Metadata Scientist The Opportunity: As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors, from fraud detection to cancer research to national intelligence, we need you to help find the answers in the data. On our team, you’ll use your leadership skills and data science expertise to create real-world impact. You’ll work closely with clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll guide teammates and lead the development of algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can’t wait. You Have: Experience implementing metadata governance frameworks for structured and unstructured data in cloud-based environments Experience with tracking data lineage and ensuring metadata synchronization across a Data Catalog, ESRI Kubernetes, and enterprise metadata repositories Experience with utilizing OpenLineage, Apache Atlas, or tools for metadata and data lineage management Experience in enforcing compliance with DoD metadata policies and NSG tradecraft standards for geospatial datasets Bachelor’s degree in Data Science, Information Management, or Geographic Information Systems (GIS) or 5+ years of experience in data governance, metadata management, or geospatial data integration in lieu of a degree Nice If You Have: Experience working in DoW or IC environments Experience with the RMF or ATO process Certified Data Management Professional (CDMP), DAMA Certified Data Governance Professional (DGSP), or ESRI Geospatial Data Management Certification Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life,
Full responsibilities and requirements are on Booz Allen Hamilton's application page.
Apply for this job →Location and market context
This job is based in Doral, FL on-site. Local candidates benefit from being close to Booz Allen Hamilton's teams and regional hiring market. Confirm the exact in-office expectation and any relocation support with the employer.
About data governance jobs
Data governance establishes ownership, quality, and controls over data as an asset. It is foundational to trustworthy analytics and AI, spanning cataloging, lineage, and access. Jobs like this one are typically evaluated against frameworks such as data management frameworks, data quality and lineage standards, and privacy and security controls.
How to position yourself for this data governance job
Strong candidates emphasize data ownership and stewardship, quality and lineage, catalog and access controls, and enabling analytics and AI on a trusted data foundation. In your resume and outreach, tie your experience to how Booz Allen Hamilton would apply data management frameworks, data quality and lineage standards, and privacy and security controls, and lead with concrete outcomes rather than duties.
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