Data Governance Lead

Booz Allen Hamilton•McLean, VA

21h•$99,000 - $225,000•Onsite

About The Position

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.

Requirements

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
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
Bachelor’s degree

Nice To Haves

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
Knowledge of FedRAMP, FISMA, or related public-sector security and compliance frameworks
AWS certification or comparable cloud certification

Responsibilities

Lead governance activities across metadata, lineage, classification, stewardship, data quality, access, compliance, and cost accountability.
Translate enterprise policy into clear, actionable requirements for data products, pipelines, platform services, and stakeholders.
Guide governance working groups, data-owner decisions, and implementation teams as they build secure, interoperable, and well-managed data capabilities.
Establish metadata standards, business glossaries, data dictionaries, naming conventions, reference data requirements, and technical metadata practices.
Define and implement data lineage standards across sources, transformations, pipelines, reports, models, and downstream data products.
Develop data classification, sensitivity, handling, retention, archival, destruction, and disclosure requirements.
Develop data-quality standards, critical data elements, quality rules, thresholds, issue-management workflows, and remediation procedures.
Facilitate governance working groups, data-owner reviews, requirements workshops, architecture discussions, and stakeholder decision sessions.
Define interoperability and domain-governance requirements for shared data, interfaces, schemas, APIs, and cross-domain data exchange.
Define governance requirements for Medallion Architecture data layers, including bronze, silver, and gold.
Support data governance in AWS GovCloud using services such as S3, IAM, KMS, Lake Formation, Glue, CloudTrail, and Macie.
Align data classification, metadata, lineage, access, privacy, retention, and governance controls with an ATO package and operational policies.
Define Unity Catalog metastores, catalogs, schemas, tables, views, external locations, storage credentials, and access policies.
Define governance controls for data sharing, exports, egress, external access, cross-domain use, and sensitive-data handling.
Establish FinOps guardrails for data storage, compute, workspace usage, tagging, chargeback or showback, budget monitoring, and cost accountability.