Enterprise Data Governance Consultant - Nashville, TN (Onsite Role)
Steneral Consulting · Nashville, TN · 4 wk ago
On-siteInformation TechnologyContract
Enterprise Data Governance Consultant Nashville, TN (Onsite Role) 6-12+Months AI Governance, Privacy, Risk, and Compliance: Help agencies incorporate responsible AI, privacy, security, and compliance into data governance. Support awareness and documentation of ethical and transparent use of data and AI systems. Coordinate with privacy, security, legal, and compliance stakeholders for sensitive data activities. Facilitate AI technology adoption to automate data governance practices. Reinforce data classification, access management, retention, and secure sharing. Support documentation of data risks, policy exceptions, remediation, and audits. Promote safeguards for regulated data (HIPAA, FERPA, CJIS, IRS, PCI, FTI, PII, etc.). Data Governance Strategy & Agency Engagement: Support data governance planning, charter development, roadmaps, and operating models. Assist in defining governance roles, responsibilities, and engagement processes. Identify business needs, data quality risks, and opportunities for data sharing. Conduct maturity assessments and develop plans to address governance gaps. Translate technical concepts into plain language for diverse audiences. Promote Tennessee s eight core data governance elements. Data Governance Implementation Support: Guide agencies in using statewide data governance tools and documentation practices. Assist in creating governance artifacts (RACI, glossaries, dictionaries, inventories, logs, etc.). Document data domains, owners, stewards, flows, quality rules, risks, and controls. Coordinate with analysts on catalog, metadata, classification, and documentation. Support metrics, maturity indicators, and artifact repository management. Facilitation & Governance Meeting Support: Plan and facilitate governance meetings, workshops, committees, and working groups. Prepare agendas, decision/action logs, and executive summaries. Facilitate discussions among cross-functional stakeholders. Support resolution of cross-functional data issues and escalation. Operationalize governance committees and cadences. Develop business value cases for governance initiatives. Change Management, Communications, and Marketing: Develop and execute stakeholder engagement and change management plans. Create communication products (briefings, newsletters, FAQs, presentations, etc.). Promote data governance as business-enabling, not just compliance. Communicate the value of data governance (trust, risk reduction, efficiency, etc.). Identify adoption barriers and recommend interventions (communications, training, etc.). Training Development and Delivery: Develop training plans, materials, and role-based learning paths. Deliver training to data owners, stewards, custodians, producers, and consumers. Create practical exercises and examples relevant to agencies. Gather feedback, track adoption, and recommend improvements. Reinforce core data quality expectations (accuracy, timeliness, completeness, etc.). Required Knowledge, Skills, and Abilities: Facilitate cross-functional meetings and drive consensus. Develop governance strategies, plans, training, and communication materials. Translate complex governance concepts into plain language. Build trust and guide agency stakeholders. Apply change management for adoption of new processes. Prepare business value cases and governance documentation. Understand governance frameworks, models, stewardship, metadata, and risk. Work independently and coordinate with governance managers and analysts. Produce clear, professional, executive-ready written products. Preferred Qualifications: Experience with data governance, management, change management, and training. Familiarity with public sector, highly regulated environments, and DAMA-DMBOK. Knowledge of AI governance frameworks (e.g., NIST AI Risk Management). Experience with training, workshops, presentations, and adoption campaigns. Experience with governance councils, committees, and decision-making bodies. Experience with data catalog, metadata, glossary, inventory, and collaboration tools.