Business Intelligence Manager - Specialty Equipment

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

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%

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