Senior Data Management and Governance Specialist with Top Secret clearance

Peraton; Washington (District of Columbia); On-site; USD 140,000 - 210,000; Full time

Job summary

Peraton seeks an experienced Data Management and Governance SME to support a classified U.S. Government contract within the Intelligence Community (IC).

You will provide subject matter expertise across data governance, interoperability, standards, integration, and lifecycle management. You will assess current data capabilities, identify gaps, and develop an Enterprise Data Strategy with a practical roadmap, documented practices, roles, and templates for sustainable governance.

Qualifications

• Bachelor's degree in relevant discipline or equivalent experience.
• 12+ years in data management, governance, architecture, or related discipline; MS/MA 10+ years; PhD 7+ years.
• Active TS or Q clearance or higher; ability to obtain Q/SCI.
• Experience developing and implementing enterprise data management and governance strategies.
• Experience conducting organizational data maturity assessments using IC/government frameworks.
• Experience developing current-state and target-state assessments with roadmaps.
• Strong understanding of data governance, quality, metadata, architecture, standards, integration, interoperability, stewardship, lifecycle, sharing.
• Experience developing data management policies, templates, and guidance.
• Experience facilitating stakeholder interviews, workshops, and assessments.
• Ability to work across boundaries and build consensus among diverse stakeholders.

Responsibilities

• Serve as a Data Management and Governance SME supporting enterprise data initiatives across agency and customer organizations.
• Provide expertise in data management, governance, standards, interoperability, integration, quality, metadata, and lifecycle management.
• Assess the current state of data management and governance maturity.
• Apply IC and industry data maturity frameworks to evaluate capabilities and targets.
• Conduct benchmarking to identify leading practices and maturity targets.
• Gather stakeholder input through interviews, workshops, surveys, and sessions.
• Develop current-state assessments detailing capabilities, processes, roles, policies, standards, and governance.
• Identify data management gaps, risks, dependencies across the enterprise.
• Develop target-state capabilities aligned with mission requirements.
• Develop an Enterprise Data Strategy with roadmap and governance artifacts.
• Develop practical implementation roadmaps prioritizing initiatives by mission value and readiness.
• Define enterprise data management practices, standards, templates, and guidance.
• Develop governance frameworks with roles, responsibilities, and operating models.
• Establish Data Stewardship practices across customer organizations.
• Develop data standards and guidance for interoperability and sharing.
• Assess data standards and align with IC, Federal, and industry standards.
• Support data definitions, taxonomies, metadata standards, and data models for interoperability.
• Develop governance processes for ownership, quality, access, sharing, classification, lifecycle.
• Establish governance artifacts including policies, charters, playbooks, templates.
• Coordinate with data architects, engineers, analysts, cybersecurity, and program leadership.
• Facilitate stakeholder workshops to prioritize governance practices.
• Develop executive briefings, reports, and recommendations.
• Communicate complex concepts to technical and non-technical stakeholders.
• Establish measurable KPIs to track progress toward target-state capabilities.

Skills

Data Governance

Data Management

Data Architecture

Data Interoperability

Data Quality

Metadata Management

Data Standards

Data Lifecycle Management

Data Sharing & Access

Stakeholder Facilitation

Enterprise Data Strategy

Education

Bachelor's degree in Information Systems, Computer Science, Data Management, Business, Engineering, or a related discipline

Job description

Required Qualifications

• Bachelor's degree in Information Systems, Computer Science, Data Management, Business, Engineering, or a related discipline; equivalent experience may be considered.
• 12+ years of relevant experience in data management, data governance, enterprise data architecture, data strategy, data quality, or a related discipline; Minimum of 10 years with MS/MA; Minimum of 7 years with Ph.D.
• Active TS or Q clearance or higher is required. Ability to obtain Q/SCI.
• Demonstrated experience developing and implementing enterprise data management and governance strategies.
• Experience conducting organizational data maturity assessments using recognized industry or government frameworks.
• Experience developing current-state and target-state assessments and associated improvement roadmaps.
• Strong understanding of enterprise data management disciplines, including:
  • Data Governance
  • Data Quality
  • Metadata Management
  • Data Architecture
  • Data Standards
  • Data Integration
  • Data Interoperability
  • Data Stewardship
  • Data Lifecycle Management
  • Data Sharing and Access
• Experience developing data management policies, procedures, standards, processes, templates, and implementation guidance.
• Experience facilitating stakeholder interviews, workshops, working groups, and organizational assessments.
• Demonstrated ability to work across organizational boundaries and build consensus among diverse stakeholders.
• Experience translating strategic objectives into actionable data management capabilities and implementation plans.
• Strong understanding of data interoperability and the role of common standards, metadata, taxonomies, models, and interfaces in enabling data sharing.
• Strong analytical, organizational, communication, facilitation, and presentation skills.
• Ability to work independently as an SME while collaborating effectively with multidisciplinary teams.

Preferred Qualifications

• Previous experience supporting the Intelligence Community, Department of Energy, or other U.S. Government organizations.
• Experience developing data strategies within Federal or IC environments.
• Familiarity with established Federal and IC data management and maturity frameworks, standards, and policies.
• Experience with the Federal Data Strategy, Data Management Body of Knowledge (DAMA-DMBOK), or comparable data management frameworks.
• Experience with IC data governance, data-sharing, interoperability, or enterprise data initiatives.
• Experience developing enterprise Data Governance Operating Models.
• Experience establishing Data Governance Councils, Data Stewardship programs, or similar governance structures.

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, engineers, analysts, scientists, cybersecurity professionals, mission owners, and program leadership.
• Coordinate with multiple customer organizations to align data management practices and reduce organizational and technical data silos.
• Facilitate stakeholder workshops and working groups to establish consensus around data management priorities, standards, and governance practices.
• Develop executive-level briefings, presentations, reports, assessments, and recommendations.
• Communicate complex data management and governance concepts to both technical and non-technical stakeholders.
• Establish measurable data management and governance performance indicators to track progress toward target-state capabilities.
• Support development of governance artifacts, including policies, charters, operating procedures, standards, playbooks, templates, and implementation guides.
• Evaluate emerging data management and governance technologies and industry practices and recommend those applicable to the customer environment.
• Support integration of data governance practices into broader enterprise data, analytics, AI, and technology initiatives.
• Ensure data management and governance recommendations align with applicable security, classification, privacy, regulatory, and customer requirements.