openleverjobgether
Data Governance Analyst
Jobgether
LocationUS
EmploymentFull-time
Posted2026-08-24T11:01:38.374000+00:00
Last observed2026-08-26 21:51:40.410433
Job idjobgether-jobgether:lever:871973be-f044-4756-9ce6-78447e3d095c
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Governance Analyst based in the United States. This role offers the opportunity to shape enterprise data governance within a large-scale modernization program supporting federal court operations across the United States. You will help establish the policies, standards, processes, and accountability models that ensure data is managed as a strategic asset. Working across business, technology, security, privacy, legal, and records-management teams, you will turn governance requirements into practical controls and processes. The position combines data standards architecture, data quality, metadata, stewardship, privacy, and compliance. You will also contribute to governance roadmaps, maturity assessments, training, and continuous improvement. This is a fully remote role with no expected travel and an environment focused on modern data platforms, analytics, and responsible use of AI/ML. Support the development, implementation, and ongoing maintenance of enterprise data governance frameworks, policies, standards, procedures, and operating models. Define and maintain data standards, naming conventions, business definitions, data structures, reference data, and governance requirements across multiple systems and delivery teams. Establish data ownership, stewardship, accountability, and decision-rights models, including RACI frameworks and stewardship responsibilities. Partner with business stakeholders, Data Owners and Stewards, security, privacy, legal, records management, engineering, and technology teams to operationalize governance requirements. Ensure data assets are appropriately classified and managed according to sensitivity, criticality, business value, privacy, security, retention, and regulatory requirements. Translate policies and regulatory requirements into actionable governance controls, procedures, and compliant data-sharing practices. Identify data governance gaps, risks, and compliance issues, coordinate remediation activities, and monitor the adoption and effectiveness of governance standards. Support data access, sharing, usage, and lifecycle governance processes while contributing to governance councils, working groups, and data-domain forums. Develop governance documentation, standards, decision logs, procedures, training materials, and awareness programs for technical and business audiences. Support governance assessments, audits, compliance reviews, maturity evaluations, and continuous improvement initiatives. Track, analyze, and report governance metrics, maturity, and compliance status to leadership and governance councils. Contribute to data governance roadmaps and help foster a consistent, data-driven culture across geographically distributed business and technical teams. Requirements Master’s degree in a relevant field with 5+ years of general information-systems experience and 7+ years of specialized experience, or comparable experience and qualifications. Demonstrated experience supporting enterprise data governance programs and translating governance policies into practical operational processes. Strong understanding of data quality management, metadata management, data stewardship, ownership models, and enterprise data standards. Experience governing high-sensitivity, regulated, or compliance-focused data environments. Experience with data-quality profiling and monitoring techniques, as well as modern data governance tooling and operating practices. Strong knowledge of data modeling, integration patterns, and change data capture concepts. Experience with metadata and data catalog platforms such as Collibra, Alation, or Qlik, with practical exposure to business glossaries and data lineage. Ability to translate technical metadata and governance concepts into clear, business-friendly definitions, documentation, and procedures. Experience implementing data privacy controls,
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