Senior Data Management and Governance Specialist

Responsibilities

Position Overview

We are seeking an experienced Data Management and Governance Specialist / Subject Matter Expert (SME) to support a classified U.S. Government contract within the Intelligence Community (IC). The successful candidate will provide subject matter expertise in enterprise data management, data governance, data interoperability, data standards, data integration, and data maturity.

The Data Management and Governance SME will assess the current state of Agency and customer data capabilities and maturity using established industry and IC data maturity frameworks, industry benchmarks, and stakeholder input. The SME will identify capability gaps, organizational challenges, and opportunities to improve how data is managed, governed, integrated, shared, and leveraged across the enterprise.

The position will lead development of an Enterprise Data Strategy that establishes a practical roadmap for improving data management and governance capabilities. The strategy will include documented practices, processes, standards, templates, guidance, roles, responsibilities, and implementation recommendations designed to enable consistent and sustainable data management across customer organizations.

The ideal candidate will combine strong knowledge of enterprise data management and governance with an understanding of the unique requirements of classified government and IC environments. The candidate must be comfortable working across organizational boundaries, facilitating stakeholder engagement, and translating strategic objectives into actionable data management practices.

Key Responsibilities

• Serve as a Data Management and Governance SME supporting enterprise data initiatives across the Agency and customer organizations.
• Provide expertise in data management, governance, data standards, data interoperability, data integration, data quality, metadata, and data lifecycle management.
• Assess the current state of Agency and customer data management and governance maturity.
• Apply established industry and IC data maturity frameworks to evaluate organizational capabilities and identify areas for improvement.
• Conduct industry benchmarking and comparative assessments to identify leading practices and relevant maturity targets.
• Gather and analyze stakeholder input through interviews, workshops, surveys, working sessions, and other engagement mechanisms.
• Develop current-state assessments documenting organizational capabilities, processes, technologies, roles, policies, standards, and governance practices.
• Identify data management and governance gaps, risks, dependencies, and opportunities across the enterprise.
• Develop target-state data management and governance capabilities aligned with mission requirements and organizational objectives.
• Develop an Enterprise Data Strategy that establishes a vision, objectives, priorities, capabilities, and roadmap for enterprise data management.
• Develop practical implementation roadmaps that prioritize initiatives based on mission value, organizational readiness, dependencies, and available resources.
• Define and document enterprise data management practices, processes, procedures, standards, templates, and guidance.
• Develop and refine data governance frameworks, including governance structures, roles, responsibilities, decision rights, and operating models.
• Develop governance processes for data ownership, stewardship, quality, access, sharing, classification, metadata, and lifecycle management.
• Establish or enhance Data Stewardship practices and define roles and responsibilities across customer organizations.
• Develop data standards and guidance that promote consistency, interoperability, reuse, and effective data sharing.
• Assess existing data standards and recommend opportunities for alignment with applicable IC, Federal, and industry standards.
• Support development and implementation of common data definitions, taxonomies, metadata standards, data models, and other mechanisms that improve interoperability.
• Develop processes and guidance for managing authoritative data sources and identifying authoritative data assets.
• Support data quality management initiatives, including development of data quality standards, metrics, processes, and governance mechanisms.
• Define approaches for metadata management, data cataloging, data lineage, and data discovery.
• Develop governance and management practices that enable appropriate data sharing across organizational and mission boundaries.
• Collaborate with data architects,…