Partner Analytics Senior Manager, Data Analytics

The Senior Manager is a strategic analytics leader responsible for transforming complex business and partner data into actionable insights that drive growth, profitability, retention, and partner performance. You will lead a team of analysts and serves as a trusted advisor to business leaders by connecting data across insurance products, pricing, distribution, digital channels, contact centers, finance, and operations to create a comprehensive view of partner and business performance. The ideal candidate combines deep analytical expertise, strong business acumen within the insurance industry, leadership capabilities, and experience leveraging AI and modern analytics tools to support decision-making and business strategy. We have two positions available. This position reports to a director, data analytics. Internal candidates are encouraged to apply and should review the internal mobility guidelines in the hybrid policy reference guide for more information on potential relocation. #LI-hybrid Position Compensation Range: $128,000.00 - $218,000.00 Pay Rate Type: Salary Compensation may vary based on the job level and your geographic work location. Relocation support is offered for eligible candidates. The compensation range listed above is for Boston, MA. The compensation range for Madison, WI is $113,000 - $194,000 Yearly Strategic Analytics & Business Insights Develop a holistic understanding of partner and business performance by integrating data across multiple sources and functions. Identify trends, risks, opportunities, and performance drivers that impact growth, retention, profitability, and overall portfolio performance. Move beyond reporting to uncover root causes, quantify drivers of value, and provide strategic recommendations. Anticipate and evaluate the impact of changes in products, pricing, customer experience, service models, operations, and distribution channels. Business Partnership & Influence Partner with senior leaders, account teams, partner teams, Finance, Product, Pricing, Digital, Contact Center, Data, and Technology organizations. Translate business questions into analytical approaches and meaningful insights. Serve as a trusted thought partner, proactively guiding strategic decisions and investment priorities. Challenge assumptions using data-driven evidence and objective analysis. Forecasting & Business Case Development Build analytical frameworks that estimate the financial impact and expected value of proposed initiatives. Strengthen business cases through forecasting, scenario modeling, and cost-benefit analysis. Help leaders evaluate tradeoffs, risks, and expected outcomes of investments and strategic decisions. Establish measurement frameworks to assess post-implementation results against expected business benefits. Data Storytelling & Visualization Convert complex analyses into clear, compelling stories and executive-level recommendations. Develop high-quality visualizations and presentations that communicate key insights effectively. Ensure analytical findings are easy to understand, actionable, and aligned with business objectives. AI, Automation & Innovation Identify opportunities to increase efficiency and insight generation through AI and automation. Leverage modern analytical tools for research, data exploration, coding, visualization, documentation, and reporting. Develop scalable analytical solutions and lightweight automation tools to solve business challenges. Promote responsible and effective use of AI while maintaining strong standards for accuracy, governance, and business judgment. Team Leadership & Development Lead, mentor, and develop a high-performing analytics team. Build team capabilities in analytical thinking, forecasting, visualization, storytelling, automation, AI, and business acumen. Foster a culture of curiosity, accountability, collaboration, and continuous improvement. Establish high standards for analytical quality and professional development. Specialized Knowledge & Skills Requirements Demonstrated experience providing customer-driven solutions, support or service. Demonstrated effective leadership skills. Demonstrated experience communicating business implications of data relationships and results of financial models to multiple business partners. Demonstrated experience in public speaking and use of appropriate presentation skills. Demonstrated experience in managing and leading large complex projects related to analytics. Additional Knowledge & Skills Strong knowledge of the property and casualty insurance industry, including insurance products, pricing, distribution channels, customer experience, and book-of-business performance, with the ability to understand how changes across products, pricing, digital, service, contact center, and operational functions impact growth, retention, profitability, and partner performance. Demonstrated ability to integrate and synthesize data and insights across multiple functions, including product, distribution, customer experience, digital, contact center, operational, and financial domains, to develop a comprehensive understanding of business performance and identify actionable opportunities. Experience developing analytical frameworks, measurement strategies, forecasting models, and business cases that quantify expected business impact, support investment decisions, and inform strategic recommendations in partnership with Finance and business leaders. Advanced analytical and problem-solving capabilities, including hypothesis development, exploratory data analysis, identification of trends and business drivers, and translating complex findings into clear, actionable insights and recommendations. Exceptional communication, storytelling, and data visualization skills, with the ability to create executive-level presentations, communicate complex analytical findings, influence decision-making, and effectively chall