Enterprise Data Governance Consultant (Hybrid Onsite)

Job Title

Enterprise Data Governance Consultant (Hybrid Onsite)

Nashville, TN

9 Months

Virtual

Location and Compliance Requirements

• Candidates must be local to Tennessee.

• Candidates must be able to work in a hybrid arrangement in Nashville, TN.

• Candidates must be available to work Work Schedule: Monday Friday, 8:00 AM 4:30 PM CST (7.5 hours per day)

GSK Solutions Inc. is seeking an experienced Enterprise Data Governance Consultant to support enterprise data governance initiatives for a public-sector organization in Nashville, Tennessee. The consultant will help state agencies establish, implement, and mature data governance programs by improving data quality, strengthening data stewardship, supporting responsible AI adoption, and promoting secure and effective data sharing.

The ideal candidate will have experience in enterprise data governance, data management, public-sector stakeholder engagement, change management, training development, and governance implementation. This role requires the ability to translate complex technical and governance concepts into practical strategies, actionable documentation, and clear communications for business and technical stakeholders.

Key Responsibilities

Data Governance Strategy and Implementation

• Support the development of data governance strategies, roadmaps, charters, operating models, and agency implementation plans.

• Define and document data ownership, stewardship responsibilities, decision rights, governance roles, and stakeholder engagement processes.

• Conduct data governance maturity assessments and identify gaps, risks, and opportunities for improvement.

• Develop and maintain governance artifacts, including RACI matrices, business glossaries, data dictionaries, data inventories, data issue logs, stewardship plans, and policy mappings.

• Support metadata management, data classification, data lineage, data quality, data lifecycle management, and enterprise data catalog activities.

• Establish governance metrics and maturity indicators to track progress, adoption, and business value.

• Maintain organized repositories of governance documentation, meeting records, implementation evidence, and training materials.

AI Governance, Privacy, Risk, and Compliance

• Support agency awareness and implementation of responsible AI governance principles, including transparency, accountability, explainability, ethical use, and human oversight.

• Document AI use cases, data sources, stewardship responsibilities, risk considerations, and governance checkpoints.

• Coordinate with privacy, security, legal, records management, and compliance stakeholders on sensitive or regulated data.

• Support data classification, access management, data minimization, retention, authorized use, and secure data-sharing practices.

• Document data risks, policy exceptions, remediation activities, controls, and audit evidence.

• Promote compliance with applicable standards and regulations, including HIPAA, FERPA, CJIS, IRS Publication 1075, PCI, and requirements related to PII and other protected data.

Stakeholder Engagement and Governance Facilitation

• Plan, facilitate, and document governance meetings, workshops, steering committee sessions, and data stewardship working groups.

• Prepare agendas, presentations, meeting minutes, decision logs, action trackers, and executive-ready summaries.

• Engage business leaders, data owners, data stewards, technology teams, and privacy, security, legal, and compliance stakeholders.

• Facilitate cross-functional discussions, document decisions, identify risks, resolve issues, and escalate matters requiring leadership attention.

• Help agencies establish effective governance committees and recurring decision-making processes.

• Develop business value cases outlining expected benefits, risks, resource requirements, implementation options, and measurable outcomes.

Change Management and Communications

• Develop stakeholder engagement and change management plans to support enterprise data governance adoption.

• Create communication materials, including presentations, executive briefings, newsletters, FAQs, talking points, intranet content, and one-page summaries.

• Communicate the business value of data governance through improved data trust, reduced risk, better decision-making, enhanced service delivery, and operational efficiency.

• Identify adoption barriers and recommend targeted interventions, leadership briefings, job aids, and communication strategies.

• Support agencies in adopting standardized governance roles, responsibilities, policies, and procedures.

Training Development and Delivery

• Develop training plans, course outlines, instructor-led presentations, self-service learning materials, quick reference guides, and role-based learning paths.

• Deliver workshops and training sessions for data owners, data stewards, data custodians, data producers, data consumers, and governance teams.

• Create practical exercises covering data ownership, business glossary definitions, data quality, data classification, metadata, data sharing, and governance processes.

• Coordinate training attendance, participant feedback, adoption metrics, and continuous improvement activities.

• Promote data fluency and consistent application of enterprise data governance standards, tools, and templates.

Required Knowledge, Skills, and Abilities

• Strong understanding of enterprise data governance, data management, data stewardship, and governance operating models.

• Experience developing data governance strategies, implementation plans, policies, procedures, standards, and governance documentation.

• Knowledge of metadata management, enterprise data catalogs, business glossaries, data inventories, data quality, data lineage, and data lifecycle management.

• Ability to facilitate meetings and workshops involving business, technical, executive, privacy, security, legal, and compliance stakeholders.

• Experience developing training materials, delivering presentations, and communicating complex concepts in clear, business-friendly language.

• Knowledge of change management, stakeholder engagement, and organizational adoption practices.

• Ability to document data ownership, stewardship responsibilities, governance controls, risks, metrics, and audit requirements.

• Understanding of responsible AI governance, data privacy, information security, and regulatory compliance principles.

• Strong analytical, communication, documentation, and stakeholder management skills.

• Ability to work independently while coordinating with project leadership, data governance analysts, and agency stakeholders.

Preferred Qualifications

• Experience supporting data governance, data management, enterprise information management, organizational change management, or stakeholder engagement programs.

• Experience working with state government, local government, public-sector programs, or highly regulated organizations.

• Familiarity with DAMA-DMBOK, data stewardship, metadata management, data quality frameworks, data classification, data lifecycle management, and governance maturity models.

• Knowledge of responsible AI principles and frameworks such as the NIST AI Risk Management Framework.

• Experience developing and delivering training programs, workshops, presentations, communications, and adoption campaigns.

• Experience supporting governance councils, steering committees, working groups, and cross-functional decision-making bodies.

• Familiarity with enterprise data catalog, metadata management, business glossary, data inventory, collaboration, and knowledge management tools.

• Relevant certifications are desirable but not mandatory, including CDMP, Prosci Change Management, PMP, CISA, or CIPM.

Skill Matrix

1. Experience supporting data governance, data management, or enterprise information management 4 6 years preferred.

2. Experience working with state government, local government, or public-sector programs 4 6 years preferred.

3. Familiarity with DAMA-DMBOK, data stewardship, metadata management, and data governance frameworks 4 6 years preferred.

4. Familiarity with AI governance concepts, responsible AI principles, or AI governance frameworks 4 6 years preferred.

5. Experience developing and delivering training, workshops, presentations, job aids, and communications 4 6 years preferred.

6. Experience supporting governance councils, committees, working groups, or cross-functional decision-making 4 6 years preferred.

7. Experience with enterprise data catalogs, metadata, business glossaries, data inventories, and data management tools 4 6 years preferred.

8. Relevant certifications such as CDMP, Prosci, PMP, CISA, or CIPM desirable but not required.

Contact: Pravallika - View email address on us.fitly.work