Partner Analytics Senior Manager, Data Analytics

American Family Insurance•Boston, MA

1d•$128,000 - $218,000•Hybrid

About The Position

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. The role leads a team of analysts and serves as a trusted advisor to business leaders, connecting data across insurance products, pricing, distribution, digital channels, contact centers, finance, and operations to provide a comprehensive view of partner and business performance. The ideal candidate combines deep analytical expertise, insurance-industry business acumen, leadership capabilities, and experience using AI and modern analytics tools to support decision-making and business strategy. Two positions are available. The role reports to a Director, Data Analytics. Responsibilities include developing integrated analyses of partner and business performance; identifying trends, risks, opportunities, and performance drivers; analyzing root causes and recommending strategic actions; partnering with senior leaders and cross-functional teams; building forecasts, analytical frameworks, and business cases; measuring outcomes; presenting insights through executive-level visualizations and recommendations; using AI, automation, and modern analytical tools responsibly; and leading, mentoring, and developing an analytics team. This is a hybrid role requiring at least 10 office days per month in Madison, Wisconsin, or Boston, Massachusetts. Candidates must live within 50 miles of the Madison office or 35 miles of the Boston office. Travel is up to 10%. Employees attend New Employee Orientation during their first week, in person at the Madison headquarters or another American Family core location when possible, though sessions may be virtual depending on scheduling and availability. Offers are contingent on applicable background checks and signing a non-disclosure agreement. Sponsorship will not be considered unless specified in the posting.

Requirements

Demonstrated experience providing customer-driven solutions, support, or service.
Demonstrated effective leadership skills.
Demonstrated experience communicating business implications of data relationships and financial-model results to multiple business partners.
Demonstrated experience in public speaking and using appropriate presentation skills.
Demonstrated experience managing and leading large, complex analytics projects.
Strong knowledge of the property and casualty insurance industry, including insurance products, pricing, distribution channels, customer experience, and book-of-business performance.
Ability to integrate and synthesize insights across product, distribution, customer experience, digital, contact center, operational, and financial domains.
Experience developing analytical frameworks, measurement strategies, forecasting models, and business cases to quantify expected impact and support investment decisions.
Advanced analytical and problem-solving capabilities, including hypothesis development, exploratory data analysis, trend and driver identification, and translating complex findings into actionable recommendations.
Exceptional communication, storytelling, and data visualization skills, including the ability to create executive-level presentations, influence decisions, and challenge assumptions with data-driven evidence.
Working knowledge of digital analytics, contact center analytics, and related measurement disciplines.
Experience using AI, automation, and modern analytical tools to improve productivity and generate insights, with appropriate governance and validation.
Proven people leadership experience developing analytical teams and coaching employees in business acumen, analytical thinking, visualization, communication, automation, and AI-enabled analytics.
Demonstrated success leading complex cross-functional initiatives and influencing stakeholders through leadership presence, business acumen, strategic thinking, curiosity, and sound analytical judgment.

Responsibilities

Integrate data across multiple sources and functions to develop a holistic understanding of partner and business performance.
Identify trends, risks, opportunities, and performance drivers affecting growth, retention, profitability, and portfolio performance.
Investigate root causes, quantify value drivers, and provide strategic recommendations beyond routine reporting.
Evaluate the impact of changes in products, pricing, customer experience, service models, operations, and distribution channels.
Partner with senior leaders and teams across account management, partners, Finance, Product, Pricing, Digital, Contact Center, Data, and Technology.
Translate business questions into analytical approaches and meaningful insights, and guide strategic decisions and investment priorities.
Use objective, data-driven evidence to challenge assumptions.
Build analytical frameworks to estimate the financial impact and expected value of proposed initiatives.
Develop forecasts, scenario models, cost-benefit analyses, and business cases to inform decisions and assess tradeoffs and risks.
Establish measurement frameworks to compare post-implementation results with expected benefits.
Create clear, compelling analyses, visualizations, presentations, and executive-level recommendations.
Identify and apply AI and automation opportunities to improve efficiency and insight generation.
Use modern analytical tools for research, data exploration, coding, visualization, documentation, and reporting.
Develop scalable analytical solutions and lightweight automation tools while maintaining accuracy, governance, and sound business judgment.
Lead, mentor, and develop a high-performing analytics team and build its skills in analytical thinking, forecasting, visualization, storytelling, automation, AI, and business acumen.
Foster curiosity, accountability, collaboration, and continuous improvement, while maintaining high standards for analytical quality and professional development.