Business Intelligence Manager - Specialty Equipment

gaig; Cincinnati (OH); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

MedicalDentalVision

Wellness plans

Parental leave

Tuition reimbursement

Paid time off

401(k) with company match

Employee stock purchase plan

Commuter benefits

Job summary

Great American Insurance Group is seeking a Business Intelligence Manager in the Specialty Equipment division to lead a data analytics team and translate data into strategic insights. You will partner with underwriting, services, finance, and IT to drive metrics and analytics delivery.

The role requires 7+ years of analytics leadership, a data science background, and hands-on SQL plus BI tools proficiency. On-site four days a week with one remote day, travel up to 15%.

Qualifications

• Bachelor’s degree in data-related field or equivalent experience.
• 7+ years of analytics or data science leadership (including people management).
• Experience translating business strategy into analytics roadmaps and deliverables.
• Strong analytical and problem-solving skills; ability to handle ambiguous problems.
• Working knowledge of SQL and at least one modeling or scripting language.
• Experience with BI tools (Tableau, Power BI, Excel).
• Willing to travel up to 15%.

Responsibilities

• Lead the data analytics team; sets vision, roadmap, and delivery priorities.
• Partner with senior leaders across underwriting, service, finance, and IT to identify metrics and insights.
• Oversee delivery of analytics roadmap, including data sources, tools, and capabilities.
• Design, develop, and deploy analytics products, dashboards, predictive models, and AI-enabled solutions.
• Collaborate with shared services and external vendors for practical, integrated solutions.
• Communicate results to leadership through clear narratives and executive storytelling.
• Monitor model performance, data quality, and controls; address issues risking decisions.
• Coach and develop a small team of data experts; support career growth.
• Champion data literacy and train teams to embed analytics in daily workflows.
• Perform other duties as assigned.

Skills

Data analytics leadership

SQL

Tableau

Power BI

Excel

Strong communication

Problem solving

Travel up to 15%

Education

Bachelor’s degree in Data Science, Statistics, Analytics, Information Systems, or related field

Tools

Snowflake

Job description

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.