Data Governance Lead

Job Number: R0250727

Data Governance Lead
The Opportunity:

Effective data governance requires a blend of policy leadership, technical fluency, and practical collaboration. As a Data Governance Lead, you understand how to establish trusted data practices, clarify accountability, and embed governance into the platforms and workflows that mission-critical organizations rely on. We're looking for someone like you to support the implementation and operation of Databricks in AWS GovCloud.

You will lead governance activities across metadata, lineage, classification, stewardship, data quality, access, compliance, and cost accountability. You'll translate enterprise policy into clear, actionable requirements for data products, pipelines, platform services, and stakeholders. You will also guide governance working groups, data-owner decisions, and implementation teams as they build secure, interoperable, and well-managed data capabilities.

Join us and help organizations make data more trusted, discoverable, secure, and useful. Due to the nature of work performed within this facility, U.S. citizenship is required.

Work with us as we use data science and governance for good.

Join us. The world can't wait.

You Have:

• 5+ years of experience in a data governance, data management, or information management field
• Experience leading or implementing enterprise data governance frameworks, including policies, standards, procedures, roles, decision rights, escalation paths, and accountability models
• Experience establishing metadata standards, business glossaries, data dictionaries, naming conventions, reference data requirements, and technical metadata practices
• Experience defining and implementing data lineage standards across sources, transformations, pipelines, reports, models, and downstream data products
• Experience developing data classification, sensitivity, handling, retention, archival, destruction, and disclosure requirements
• Experience developing data-quality standards, critical data elements, quality rules, thresholds, issue-management workflows, and remediation procedures
• Experience facilitating governance working groups, data-owner reviews, requirements workshops, architecture discussions, and stakeholder decision sessions
• Ability to define interoperability and domain-governance requirements for shared data, interfaces, schemas, APIs, and cross-domain data exchange
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
• Bachelor's degree

Nice If You Have:

• Experience in the development of algorithms leveraging R, Python, or SQL/NoSQL, and Distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
• Experience with visualization packages, including Plotly, Seaborn, or ggplot2, and with supporting Databricks, Unity Catalog, or comparable modern data platforms
• Experience leading Collibra and Databricks Unity Catalog integration, including metadata synchronization, ownership, lineage, glossary, classification, and stewardship processes
• Experience defining governance requirements for Medallion Architecture data layers, including bronze, silver, and gold
• Experience supporting data governance in AWS GovCloud using services such as S3, IAM, KMS, Lake Formation, Glue, CloudTrail, and Macie Experience aligning data classification, metadata, lineage, access, privacy, retention, and governance controls with an ATO package and operational policies
• Experience defining Unity Catalog metastores, catalogs, schemas, tables, views, external locations, storage credentials, and access policies
• Experience defining governance controls for data sharing, exports, egress, external access, cross-domain use, and sensitive-data handling
• Experience establishing FinOps guardrails for data storage, compute, workspace usage, tagging, chargeback or showback, budget monitoring, and cost accountability
• Knowledge of FedRAMP, FISMA, or related public-sector security and compliance frameworks
• AWS certification or comparable cloud certification

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.

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, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. 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.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role.
• Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.