Data Governance SME
McLean, VA
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll bring
All qualificationsCore experience
- Ability to obtain and maintain a U.S. government security clearance
- Experience assessing bias or quality issues in training data for AI/ML use cases
- Master's degree in a related field
- Bachelor's degree, preferably in Information Systems, Data Management, Data Science, Business Analytics, Computer Science, or a related field, and 10+ years of total experience
- Experience with data cataloging/governance platforms (e.g., Collibra, Alation, Atlan, Informatica, or cloud-native catalog tools)
- 6+ years of data governance, data management, or data science experience
Qualification wording
Ability to obtain and maintain a U.S. government security clearance
Experience assessing bias or quality issues in training data for AI/ML use cases
Master's degree in a related field
Bachelor's degree, preferably in Information Systems, Data Management, Data Science, Business Analytics, Computer Science, or a related field, and 10+ years of total experience
Experience with data cataloging/governance platforms (e.g., Collibra, Alation, Atlan, Informatica, or cloud-native catalog tools)
6+ years of data governance, data management, or data science experience
Tools in this posting
- SQL
- Excel
Source — Tool mentions in context
- Familiarity with data privacy, security, and access control concepts, including experience supporting data access-request workflows - Proficiency with data analysis and query tools (e.g., SQL, Excel) to assess data quality and structure - Working knowledge of machine learning/AI training data concepts sufficient to assess data quality, origin, and bias considerations (not hands-on model development)
About Steampunk
As part of the application process, you are expected to be on camera during interviews and assessments.
In the employer’s words · Read in context
Job description
Overview
Steampunk is seeking a Data Governance SME to design, implement, and help operationalize data governance practices — including metadata management, data cataloging, and stewardship workflows — for a large federal client's data environment, ensuring data assets are discoverable, trustworthy, and well-governed. The role also supports assessment of data quality, governance maturity, and AI-related data risk.
Contributions
- Assess current-state data assets, governance practices, and interoperability constraints, and deliver a Data Management Framework
- Implement and maintain data catalogs, metadata repositories, and business glossaries to improve data discoverability
- Support definition and rollout of data stewardship and ownership models, including issue management and lifecycle processes
- Conduct exploratory data analysis to uncover trends and identify data quality issues informing remediation priorities
- Operate a data-quality remediation tracking process with monthly reporting, supporting identification and remediation of data quality issues
- Facilitate alignment between technical teams and business stakeholders on data definitions, quality expectations, and usage standards
- Support streamlined, user-centered data access-request workflows and access controls, in alignment with data classification principles
- Partner with the Data Architect to ensure the underlying data environment supports accurate, complete, and consistent data, including metadata capture and lineage tracking
- Deliver quarterly data maturity assessments with specific improvement recommendations, including catalog coverage and adoption metrics
- Communicate data quality and governance maturity findings clearly to technical and executive stakeholders
- Support technical analysis behind the AI Compliance and Risk Management Plan's bias and training-data-quality sections, including data origin, quality, and known limitations
- Contribute data lineage and data card documentation supporting the AI Compliance and Risk Management Plan's data origin and quality assessments
- Maintain well-organized, audit-ready documentation of data assessments, findings, and remediation activity
Qualifications
- Ability to obtain and maintain a U.S. government security clearance
- Bachelor's degree, preferably in Information Systems, Data Management, Data Science, Business Analytics, Computer Science, or a related field, and 10+ years of total experience
- 6+ years of data governance, data management, or data science experience
- Demonstrated experience assessing data quality and building data governance frameworks, including stewardship operating models
- Understanding of metadata types (business, technical, operational), data lineage, and schema management concepts
- Familiarity with data privacy, security, and access control concepts, including experience supporting data access-request workflows
- Proficiency with data analysis and query tools (e.g., SQL, Excel) to assess data quality and structure
- Working knowledge of machine learning/AI training data concepts sufficient to assess data quality, origin, and bias considerations (not hands-on model development)
- Strong written and verbal communication and facilitation skills, with the ability to translate technical data findings for both technical and executive audiences
- Local to Baltimore, MD metro area and willing to go on client site at least 2 days a week
Preferred:
- Experience assessing bias or quality issues in training data for AI/ML use cases
- Federal data governance experience
- Master's degree in a related field
- Experience with data cataloging/governance platforms (e.g., Collibra, Alation, Atlan, Informatica, or cloud-native catalog tools)
- Familiarity with cloud data platforms
- DAMA CDMP (Associate or Practitioner), Collibra Ranger, or Alation Steward certification
About steampunk
Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud
Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. If you want to learn more about our story, visit http://www.steampunk.com.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on careers-steampunk.icims.com. The employer’s form will show what is required.
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Source & posting history
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
McLean, VA
Working pattern and location restrictions need checking in the full posting.
- Work authorization
Qualifications - Ability to obtain and maintain a U.S. government security clearance - Bachelor's degree, preferably in Information Systems, Data Management, Data Science, Business Analytics, Computer Science, or a related field, and 10+ years of total experience
- Status in our records
- Active
- First seen by us
- Sep 30, 2026
- Recorded sightings
- 10
- Last seen by us
- Oct 8, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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