Data Governance Analyst

Accountabilities

• • Support the development, implementation, and ongoing maintenance of data governance frameworks, policies, standards, procedures, and operating models.
  • Act as a Data Standards Architect by defining and maintaining data standards, naming conventions, business definitions, data structures, reference data, and governance requirements.
  • Align data governance practices with enterprise architecture, security, privacy, records management, and regulatory requirements.
  • Establish clear data ownership, stewardship, accountability, and decision-rights models, including RACI structures across business and technical teams.
  • Partner with Data Stewards, Data Owners, business stakeholders, security, privacy, legal, records management, and technology teams to operationalize governance requirements.
  • Classify and manage data assets according to their sensitivity, criticality, business value, privacy requirements, and regulatory obligations.
  • Translate policies and regulatory requirements into practical data governance controls, procedures, and operational processes.
  • Identify governance gaps, risks, and compliance issues and coordinate appropriate remediation activities.
  • Support data access, sharing, usage, and lifecycle governance processes while ensuring appropriate privacy and security controls.
  • Participate in governance councils, working groups, and data domain forums, contributing expertise and helping drive consistent adoption.
  • Create and maintain governance documentation, standards, procedures, decision logs, glossaries, lineage information, and supporting artifacts.
  • Monitor the adoption and effectiveness of governance policies and standards and report program metrics, maturity, and compliance status to leadership.
  • Support governance assessments, audits, compliance reviews, maturity evaluations, roadmaps, and continuous improvement initiatives.
  • Develop training materials and deliver awareness sessions that help teams understand data governance policies, standards, and regulatory expectations.

  Requirements

  • Master’s degree in a relevant field, with 5+ years of general experience in information systems and 7+ years of specialized experience, or equivalent demonstrated expertise.
  • Demonstrated experience supporting or implementing enterprise data governance programs and operating models.
  • Strong ability to translate governance policies and regulatory requirements into practical processes, controls, and delivery practices.
  • Solid understanding of data quality management, metadata management, data stewardship, classification, and governance frameworks.
  • Experience governing sensitive, regulated, or high-risk data within environments with strict compliance requirements.
  • Hands-on experience with data quality profiling, monitoring techniques, and common data governance tooling.
  • Experience defining and maintaining enterprise data standards across multiple teams, platforms, or delivery environments.
  • Strong knowledge of data modeling, data integration patterns, and change data capture concepts.
  • Experience with metadata and data catalog platforms such as Collibra, Alation, or Qlik.
  • Practical knowledge of implementing business glossaries, data lineage, and metadata capabilities within modern data platforms.
  • Ability to translate technical metadata and governance concepts into clear, business-friendly definitions and documentation.
  • Experience implementing data privacy controls, access management practices, and compliant data-sharing processes.
  • Strong analytical, documentation, communication, and stakeholder-management skills.
  • Ability to collaborate effectively with security, governance, engineering, legal, compliance, and business teams.
  • Preferred: experience in federal government or other highly regulated environments, familiarity with enterprise data governance frameworks, and a recognized data management certification.

  Benefits

  • Salary range of $128,039–$173,229, depending on experience, geographic location, and applicable contractual requirements.
  • Full-time schedule of 40 hours per week.
  • Fully remote work arrangement with location flexibility.
  • Medical insurance options, including plans with Health Savings Accounts.
  • Dental and vision insurance.
  • 401(k) plan with employer matching and pre-tax and post-tax contribution options.
  • Paid vacation, sick, and personal leave.
  • Paid holidays, parental leave, military leave, bereavement leave, and jury-duty leave.
  • Up to 160 hours of paid family leave over a rolling 12-month period for eligible employees.
  • Short- and long-term disability coverage.
  • Life, accidental death and dismemberment, personal accident, critical illness, and business travel and accident insurance.
  • Flexible work arrangements designed to support work-life balance.
  • Opportunities to contribute to large-scale data modernization, analytics, cloud, AI, and technology initiatives.