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Manager,Insurance Revenue Analytics

About Acrisure

A global fintech leader, Acrisure empowers millions of ambitious businesses and individuals with the right solutions to grow boldly forward. Bringingcutting-edgetechnology and top-tier human support together, we connect clients with customized solutions across a range of insurance, reinsurance, payroll, benefits, cybersecurity, mortgage services - and more.

In the last twelve years, Acrisure has grown in revenue from $38 million to almost$5 billionand employs over 19,000 colleagues in more than 20 countries. Acrisure was built on entrepreneurial spirit. Prioritizing leadership, accountability, and collaboration, we equip our teams to work at the highest levels possible.

Job Summary

Reporting to the Head ofRevenue and Commission Insights,FinancialPlanning&Analysis(FP&A), the Manager ofInsurance Revenue Analyticsserves as Acrisure's analytical resource for high-priority, time-sensitive strategic and financial questions originating from the Executive Leadership Team and Board of Directors. This is not a recurring reporting role - it is a responsive, high-judgment function that translates complex financial and market questions into clear, well-structured analyses and narratives.

The ideal candidate brings a strategy consulting or strategic finance background, with the ability to independently scope and execute financial models, synthesize internal and external data sources, and produce Board-ready PowerPoint materials that distill sophisticated analysis into actionable insights. Work product is reviewed by the CFO before ExecutiveLeadershipTeam (ELT)and Board presentation, requiring a consistently high standard of analytical rigor and executive communication.

Responsibilities

Strategic & Scenario Analysis

• Respond to inbound analytical requests from the ELT and Board, scoping, prioritizing, and delivering high-quality financial analysis under tight timelines and with limited direction.

• Build financial models and scenario analyses covering a range of strategic topics including organic growth sensitivities, capitalallocationtrade-offs, investment cases, cost structure scenarios, and other ad hoc requests.

• Integrate internal financial data with external market intelligence - including S&P Global and other research tools - to provide competitive benchmarking, industry context, and market sizing that enriches financial analysis.

• Partner with FP&A'sEnterprise Analysisand Expense Management functions to pull functional inputs into enterprise-level scenario frameworks, ensuring analytical outputs reflectaccurateunderlying assumptions.

• Support finance-wide initiatives, for example policy development, to ensure alignment with FP&A requirements and translate them back into FP&A processes.

• Own the enterprise long-range model, conducting a full refresh annually andleveragingit throughout the year for scenario planning across new investments or initiatives and evolving assumptions.

Board & Executive Communication

• Translate complex financial models and analytical findings into executive-ready PowerPoint presentations - structuring content to lead with insight, support with data, and drive toward a clear recommendation or decision point.

• Prepare CFO-ready briefing materials thatanticipatequestions, surface key risks and sensitivities, and present a well-reasoned point of view - not just a summary of the data.

• Develop facility with Acrisure's financial architecture - including management reporting views,PubCometrics, and non-GAAP frameworks - to ensure analytical outputs are consistent with how the business measures and communicates performance.

• Maintain a high standard of accuracy, clarity, and visual quality across all deliverables, with the discipline to self-review and pressure-test conclusions before escalation.

Strategic Judgment & Problem Framing

• Apply structured, hypothesis-driven thinking to ambiguous or open-ended questions - breaking down complex problems,identifyingthe right analytical approach, and delivering a clear answer rather than a data dump.

• Bring market awareness and external perspective to internal financial questions, drawing on industry trends, competitor dynamics, and macroeconomic context to enrich scenario analysis and strategic recommendations.

• Proactivelyidentifyanalytical gaps, data quality issues, or unstated assumptions that could affect the integrity of theanalysis, andresolve or escalate them before final delivery.

• As FP&A's self-service analytical tools mature, leverage improved data access and modeling infrastructure to accelerate the speed and depth of strategic analysis.

Requirements

• Strong financial modeling skills, including scenario analysis, sensitivity analysis, and investment case development - with the ability to build models independently from a blank page.

• Exceptional PowerPoint and executive communication skills, with the ability to structure a compelling narrative, distill complex analysis into clear visuals, andanticipatethe questions a senior audience will ask.

• Proven ability to work independently on ambiguous, high-priority requests - managing scope, timeline, and quality without close supervision.

• Experience integrating external market data and research (e.g., S&P Global, industry databases) with internal financial data to produce market-contextualized analysis.

• High analytical rigor and intellectual curiosity - comfortable forming and defending a point of view, not just presenting options.

• Strong interpersonal skills and executive presence, with the ability to communicate complex findings clearly and confidently to senior finance leadership.

RequiredEducation and Experience

• Bachelor's degree in Finance, Economics, Accounting,DataScienceor a related quantitative field.

• 5-8 years of experience inStrategyConsulting,InvestmentBanking,StrategicFinance,Corporate DevelopmentorCorporate FP&A, with a demonstratedtrack recordof producing high-quality financial analysis and executive-level materials.

Preferred Qualifications

• MBA from a leading program, or equivalent advanced degree.

• Experience in insurance brokerage, financial services, or a similarly complex, multi-entity business environment.

• Familiarity with public company financial reporting, non-GAAP metrics, or investor-facing financial communication.

• Priorexposure to Board-level or C-suite analytical support in a corporate or advisory context.

• Experience with BI tools such as Power BI or Tableau to supplement model-based analysis with data visualization.

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