Sr. Data Governance Analyst - Business Data & Analytics

Great American Insurance Group•Cincinnati, OH

4d•Hybrid

About The Position

Business Data & Analytics is seeking a Senior Data Governance Analyst to own and support multiple Enterprise Data Management initiatives that enable trusted, well governed data for enterprise decision making, analytics, and AI-driven use cases. This role partners with Business Units, Data Owners, Data Stewards, and technical teams to translate business needs into actionable governance outcomes, ensuring data is clearly defined, fit-for-purpose, and consumable for reporting, analytics, and AI. Success in the role requires strong stakeholder engagement, the ability to operationalize governance outcomes, and a working understanding of how high quality, well governed data supports analytics and AI initiatives across the enterprise. Primary Focus: AI Enabled Governance Outcomes Deliver three AI-enabled governance outcomes: Glossary automation – Accelerate creation and maintenance of business terms using Company-approved AI, with steward/owner review and accountability. Metadata enrichment – Improve metadata completeness (ownership, definitions, relationships, key attributes) to increase discoverability and AI readiness. Governed data lifecycle – Embed governance checkpoints for analytics/AI data (definitions/ownership, lineage, quality thresholds, usage constraints, responsible use).

Requirements

Bachelor's degree in Business Analytics, Information Systems, Computer Science, or related fields.
6 or more years of Data Governance or related experience.
Strong facilitation and communication skills; able to drive alignment across diverse stakeholders.
Proven ability to prioritize, work independently, and deliver in a dynamic environment.
Strong understanding of governance concepts (data quality, metadata, lineage) and their impact on analytics/AI outcomes.
Experience with governance/catalog tools; experience managing glossary, terms, data standards is a plus.
Experience governing analytics, AI or ML datasets and partnering with analytics/data science teams is strongly preferred.
Strong analytical and problem-solving skills required.
Demonstrated ability to use Company-approved AI responsibly, prompting, and validating outputs and owning final deliverables.

Nice To Haves

Experience managing glossary, terms, data standards is a plus.
Experience governing analytics, AI or ML datasets and partnering with analytics/data science teams is strongly preferred.

Responsibilities

Drive end-to-end governance framework and delivery across prioritized domains (glossary, data quality expectations, and catalog/metadata readiness).
Define and standardize business terms, definitions, and ownership; maintain the enterprise business glossary aligned to reporting and AI use.
Use AI to accelerate glossary and metadata workflows while ensuring required human review, approval, and accountability.
Establish and operationalize data quality rules/thresholds that support fit-for-purpose reporting, analytics, and AI.
Drive catalog readiness and metadata enrichment (definitions, relationships, ownership, usage constraints) with technical governance partners.
Partner with analytics/AI teams to ensure training datasets meet governance requirements before broader promotion.
Enable adoption through clear, business-friendly facilitation and communications that position governance as an accelerator.