Sr. Data Governance Analyst - Business Data & Analytics

## Sr. Data Governance Analyst - Business Data & Analytics Apply remote type:
Hybrid locations:
Cincinnati, OH (USA) time type:
Full time posted on:
Posted 10 Days Agojob requisition :
R8946
** Be Here. Be Great.
** Working for a leader in the insurance industry means opportunity for you. Great American Insurance Group's member companies are subsidiaries of American Financial Group. We combine a "small company" culture where your ideas will be heard with "big company" expertise to help you succeed. With over 30 specialty and property and casualty operations, there are always opportunities here to learn and grow.

At Great American, we value and recognize the benefits derived when people with different backgrounds and experiences work together to achieve business results. Our goal is to create a workplace where all employees feel included, empowered, and enabled to perform at their best.

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).Great American’s culture is built on connection, shared learning, and strong relationships. To support this, employees in this role are expected to be on‐site four days a week, with the flexibility to work one day remotely. Core in‐office days are Tuesday–Thursday, with the fourth day determined by business needs.
** Essential Job Functions & 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.
** Job 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…