Data Governance & Quality Analyst SME

Job Description

Everforth ECS is seeking a Data Governance & Quality Analyst SME to work in the National Capital Region covering the Pentagon, Falls Church, and Fairfax . Please Note: This position is contingent upon contract award.

The War Data Platform (WDP) is a key initiative within the U.S. Department of War's (DoW) AI-First strategy introduced in early 2026. The WDP focuses on operational warfighting data and aims to accelerate the deployment of artificial intelligence (AI) on the battlefield. The WDP extends to Unclassified, Secret, and Top Secret environments, and supports collaboration between Combatant Commands, Joint Staff directorates, Senior Executive Service leaders, and operational analysts.

This role will architect, govern, and enforce enterprise data governance and quality frameworks that support WDP Core Integration operations across Unclassified/NIPR, Secret/SIPR, and Top Secret/JWICS environments. The Data Governance & Quality Analyst SME will also lead and direct a technical writing team responsible for translating governance standards, data quality controls, stewardship processes, access procedures, and compliance requirements into training curricula, playbooks, user guides, governance artifacts, audit packages, and executive-ready deliverables.

• Architects and governs enterprise data governance and quality frameworks supporting War Data Platform (WDP) Core Integration operations across Unclassified and NIPR, Secret and SIPR, and Top Secret and JWICS enclaves.
• Develops authoritative governance policies, access control standards, lineage models, and compliance enforcement processes aligned with mission objectives, regulatory mandates, and cross-domain security constraints.
• Operates governing structures that validate data catalog accuracy, metadata completeness, asset classification, and entitlement consistency using Collibra, Apache Atlas, Databricks Unity Catalog, and enterprise IAM platforms.
• Leads quality engineering activities by developing profiling models, statistical quality thresholds, reference integrity rules, and automated validation workflows.
• Conducts governance effectiveness assessments by measuring catalog coverage, quality defect rates, rule adoption, remediation cycle time, and user satisfaction across mission communities.
• Facilitates governance councils, strategic working groups, and data forums to synchronize governance actions with engineering, cybersecurity, and AI modernization teams.
• Establishes data-sharing agreement baselines and adjudicates complex stewardship decisions supporting Combatant Commands, Joint Staff analysts, and federal mission partners.
• Directs the technical writing team in developing and maintaining training programs for data stewards, analysts, engineers, and mission users, including curricula, governance playbooks, compliance checklists, onboarding guides, job aids, and enclave-specific access guidance.
• Leads the development of high-impact governance and quality deliverables, directing technical writers and SMEs in the production of governance roadmaps, maturity assessments, audit packages, corrective action recommendations, mission-value impact reports, executive briefings, and stakeholder-facing documentation that enhance transparency, reinforce regulatory compliance, and strengthen enterprise data credibility across the WDP Core Integration ecosystem.
• Provides tasking, technical direction, quality review, and editorial oversight for technical writers supporting WDP Core Integration governance, data quality, stewardship, compliance, onboarding, and training documentation.
• Performs other duties as assigned.

Required Skills

• Current Secret security clearance with the ability to obtain and maintain a Top Secret (TS) security clearance with Sensitive Compartmented Information (SCI).
• 12+ years of experience designing, implementing, and governing enterprise data governance and quality frameworks in a multi - domain environment.
• Proficiency in IAT II-level security certifications (CompTIA Security+ CE, CompTIA CySA+, CompTIA Cloud+, Cisco CCNA Security, GIAC GSEC, GIAC GCED, or ISC SSCP).
• Demonstrated experience using Collibra, Apache Atlas, or Databricks Unity Catalog to develop and enforce data governance policies and metadata standards.
• Experience leading technical writers, documentation teams, or knowledge-management personnel in the development of governance, data quality, training, compliance, or technical documentation for enterprise data platforms.
• Proven track record of creating automated data - quality validation workflows, profiling models, and statistical thresholds for large, classified data sets.
• Ability to design and deliver data - steward training programs, governance playbooks, and compliance checklists to diverse audiences.
• Strong problem - solving and decision - making capabilities, with a proven ability to weigh the relative costs and benefits of potential actions and identify the most appropriate solution.
• Highly developed interpersonal and oral/written communication skills, with the ability to effectively and professionally interact with a diverse set of stakeholders (from peers to end - users to executive management).

Desired Skills

• Active Top Secret (TS) security clearance with Sensitive Compartmented Information (SCI) eligibility.
• Experience aligning data governance with AI and security initiatives, ensuring that data prepared for AI models meets both compliance and AI readiness standards.
• Familiarity with DoW data - centric policies, such as C.5.2.5 and C.5.4.4, and the ability to translate them into actionable governance controls.
• Experience building documentation operating models for enterprise data programs, including playbook libraries, steward training curricula, compliance artifact repositories, onboarding guides, and executive reporting templates.
• Proven ability to work cross - functionally with engineering, cybersecurity, and operational teams to embed governance early in the data - pipeline lifecycle.
• Strong stakeholder - management skills, including experience leading governance councils and steering committees that drive consensus across multiple DoW communities.
• Experience with or strong interest in Bayesian statistical frameworks, including Bayesian causal inference methods for evaluating data quality uncertainty, assessing the impact of governance controls, and supporting evidence-based decisions in complex data environments.
• Experience with or strong interest in designing semantic data interfaces, metadata layers, or API-based data products that enable automated workflows, AI assistants, and emerging agentic AI capabilities.

ECS Federal LLC is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law. 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, or local jurisdiction law.

Everforth ECS is the federal segment of Everforth , a $4B global organization with over 10,000 employees. Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies.

Our work powers mission-critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people. We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow.

We value:

• Attracting and developing top talent and high-performing teams
• Fostering a culture that is engaging, accountable, and mission-driven