Business Intelligence Manager - Specialty Equipment

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.


This position is not eligible for employment visa sponsorship. Applicants must be authorized to work in the United States without the need for current or future sponsorship.

The Specialty Equipment division is building a data intelligence team to improve decisions, strengthen client value, and increase operational efficiency. The Business Intelligence Manager leads that team and implements the project work needed for data analytics initiative. This role manages analytics and data science talent and partners with senior leaders to turn data into insight, better client outcomes, and stronger results for Great American Insurance.

Specialty Equipment - Great American Insurance Group

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

Leads the data analytics team; sets vision, roadmap, and delivery priorities in alignment with divisional initiatives

Partners with senior leaders across underwriting, service, finance, and integration to identify the metrics and insights needed to run and grow the business

Oversees execution of key deliverables on the divisional data analytics roadmap, including improvements to data sources, tools, and capabilities.

Directs the design, development, and deployment of analytics products, dashboards, predictive models, and AI‑enabled solutions that support business goals

Collaborates with shared services, and external vendors to ensure divisional solutions are practical, adoptable, and well‑integrated

Communicates results and recommendations to divisional and enterprise leadership through clear narratives, visuals, and executive‑ready storytelling

Monitors model performance, data quality, and controls; escalates and remediates issues that put decisions or client deliverables at risk

Coaches, and develops a small group of data experts; sets performance expectations and supports career growth

Champions data literacy across the division; guides training and change management so analytics and AI become part of daily workflows

Performs other duties as assigned

Job Requirements / Qualifications

Bachelor’s degree in Data Science, Statistics, Analytics, Information Systems, Business, or a related field (or equivalent experience)

7 or more years of related experience. 4 or more years of demonstrated experience leading analytics, reporting, or data science delivery, including direct people management or team lead responsibility

Track record of translating business strategy into analytics roadmaps, deliverables, and measurable outcomes

Strong analytical and problem‑solving skills; comfortable structuring ambiguous problems and defining success metrics

Working knowledge of modern data practices (data sourcing, quality, modeling, and governance) and hands‑on familiarity with SQL and at least one modeling or scripting language

Experience with BI and analytics tooling (e.g., Tableau, Power BI, Excel) sufficient to guide the team and review work products

Excellent written and verbal communication skills; able to move fluently between technical detail and executive summary

Comfortable with travel up to 15%

Preferred Qualifications

Experience in insurance, financial services, or other risk‑oriented businesses

Experience delivering client‑facing analytics or “insight” digital products

Familiarity with cloud data platforms used in the organization (e.g., Snowflake) and enterprise BI environments

Experience piloting and operationalizing AI use cases in partnership with IT and business teams

Experience standing up or maturing a data governance program – report catalogues, data dictionaries, lineage, definitions, and controls

Business Unit:

Specialty Equipment

Benefits:

We offer competitive benefits packages for full-time and part-time employees*. Full-time employees have access to medical, dental, and vision coverage, wellness plans, parental leave, adoption assistance, and tuition reimbursement. Full-time and eligible part-time employees also enjoy Paid Time Off and paid holidays, a 401(k) plan with company match, an employee stock purchase plan, and commuter benefits.

Compensation varies by role, level, and location and is influenced by skills, experience, and business needs. Your recruiter will provide details about benefits and specific compensation ranges during the hiring process. Learn more at http://www.gaig.com/careers .

*Excludes seasonal employees and interns.