Data Governance Lead

Analytica S.A.S.•Falls Church, VA

3d•Hybrid

About The Position

Analytica is seeking a Data Governance Lead to support one or more dynamic, long-term federal government enterprise data programs. The ideal candidate will serve as the technical lead the architecture and implementation of cloud and hybrid big data solutions for large federal enterprises looking to modernize their data operations. Analytica has been recognized by Inc. Magazine as one of the fastest-growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day-to-day lives. The company offers competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401k match. This is a hybrid role with a requirement of three on-site days per week.

Requirements

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field
10+ years of experience designing and governing enterprise data platforms in complex environments
5+ years of experience implementing data governance, metadata management, or data quality frameworks
Strong knowledge of the end-to-end data and analytics lifecycle , including governance, engineering, security, and consumption
Hands-on experience building cloud production data solutions leveraging AWS and Azure
Hands-on experience governing cloud-based data platforms using technologies such as Databricks, Spark, Redshift, Oracle, or Cloudera
Experience implementing governance tooling such as Microsoft Purview, Databricks Unity Catalog, Collibra , or similar platforms
Deep understanding of federal data governance, security, and compliance requirements
Experience leading or supporting on-premises to cloud data migrations with governance embedded by design
Ability to obtain Secret Clearance

Nice To Haves

AWS, Azure, and/or Databricks certifications preferred

Responsibilities

Lead the design, implementation, and continuous improvement of enterprise data governance programs , ensuring data is discoverable, trusted, secure, and compliant with federal standards
Define and enforce data governance policies , including data ownership, stewardship, classification, retention, and lifecycle management
Establish and maintain data standards for metadata, data modeling (conceptual, logical, physical), naming conventions, lineage, and data quality metrics
Oversee the development and adoption of enterprise metadata management , data catalogs, and business glossaries to support transparency and reuse
Partner with business, analytics, and engineering stakeholders to translate regulatory and mission requirements into governed data architectures
Assess source system data quality, define remediation strategies, and implement data quality monitoring and controls
Design and govern master and reference data management (MDM/RDM) strategies aligned to enterprise and mission needs
Ensure alignment with data security, privacy, and access control requirements , including role-based access and attribute-based controls
Review and approve data architecture deliverables to ensure compliance with governance standards and federal best practices
Produce and maintain high-quality governance artifacts, including data dictionaries, lineage diagrams, glossaries, governance playbooks, and compliance documentation
Serve as a subject matter expert on data governance and architecture in support of federal proposals and solution design efforts