Data Governance Analyst

State of Indiana•Indianapolis, IN

About The Position

The Data Governance Analyst supports the Chief Data Officer and Data Governance Manager in building and sustaining the Indiana Department of Workforce Development’s Data Governance Program. The role helps define governance roles and responsibilities, establish policies, improve data quality, and strengthen how workforce data is managed and used across the agency. The analyst collaborates with stakeholders on data-sharing, data-quality, and data-privacy initiatives and promotes data governance best practices. Success requires strong communication skills, comfort navigating ambiguity, and technical proficiency in data governance. Change management or training experience is a plus. The position develops and manages metadata and data dictionaries, supports agencywide governance framework implementation, and contributes to data quality, documentation, privacy, and stewardship efforts. It serves as a liaison between divisions and technical teams, supports governance projects and initiatives, and provides progress updates to leadership. The role may be used in a supervisory capacity based on agency needs. Other duties may be assigned or changed.

Requirements

  • Meet one of the following experience and education combinations: a bachelor's degree and 3 or more years of experience; an associate degree and 5 or more years of experience; or at least 7 years of relevant experience applying the listed knowledge, skills, and abilities. Related certifications and coursework may be considered toward education or experience.
  • Extensive knowledge of data governance best practices, business and technology issues related to enterprise asset management, and data protection approaches.
  • Knowledge of data-related government regulatory requirements and emerging trends and issues.
  • Demonstrated consulting skills and knowledge of change management concepts and strategies, including communication, culture change, and performance management system design.
  • Knowledge of data architecture and technology solutions.
  • Ability to adapt quickly and use new tools as needed.
  • Strong analytical, conceptual, and problem-solving abilities.
  • Strong oral and written communication skills.
  • Change management and relationship management skills.
  • Ability to work in a team environment with multiple and changing demands.
  • Ability to maintain effective professional relationships with internal and external stakeholders.
  • Ability to lead or mentor in a professional or academic setting.
  • Ability to work with large-scale data or provide project management and oversight.

Nice To Haves

  • Experience leading workshops or training sessions with a user community.

Responsibilities

  • Develop and manage metadata and data dictionaries for principal data assets.
  • Identify technical metadata sources and define business-context enrichment, user training, and user access requirements for business use cases.
  • Assume responsibility for successful execution of assigned data governance projects.
  • Assist divisions in creating data governance initiatives and KPIs.
  • Create and maintain robust data documentation for data sources in partnership with other data teams.
  • Assist with rolling out the agency data governance framework, focusing on data quality and sensitive-data protection through policies, procedures, standards, metrics, tools, and data architecture.
  • Collaborate on designing data quality checks to ensure agency datasets are valid and clean before use in analysis and reporting.
  • Define data governance roles and responsibilities and establish clear accountability for stewardship of principal data assets.
  • Serve as a liaison between divisions and technical teams to clarify and communicate business requirements for protecting sensitive data and support operational prioritization and planning.
  • Assist in developing and maintaining an inventory of information maps, authoritative systems, and owners.
  • Facilitate development and implementation of agency data quality standards and adoption requirements.
  • Help governance leadership identify improvement opportunities and mobilize resources to implement change.
  • Resolve issues escalated by division data governance representatives.
  • Provide progress reports to leadership and oversee periodic updates to the data governance roadmap.
  • Identify opportunities to use data assets to improve efficiency and effectiveness and represent data as a strategic business asset.

Benefits

  • Three medical plan options, including prescription coverage, plus vision and dental plans.
  • Wellness Rewards Program with gift card rewards for completing wellness activities.
  • Health savings account with a bi-weekly state contribution.
  • Deferred compensation 457(b) account with employer match.
  • Two fully funded pension plan options.
  • Leave program including paid new-parent leave, childbirth recovery leave for eligible mothers, community service leave, vacation, personal and sick leave.
  • 12 paid holidays, or 14 in election years.
  • Education reimbursement program.
  • Group life insurance.
  • Referral bonus program.
  • Employee assistance program with covered behavioral health visits.
  • Eligibility as a qualified employer for the Public Service Loan Forgiveness Program.
  • Free parking for most positions.
  • Free LinkedIn Learning access.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service