Manager, Product & Analytics
Markel
- Location
- Milwaukee WI
- Work model
- On-Site
- Level
- Senior
- H-1B history
- 1 approvals (FY2023)
- Posted
- Aug 21, 2026
Skills
About this role
What part will you play? If you’re looking for a place where you can make a meaningful difference, you’ve found it. The work we do at Markel gives people the confidence to move forward and seize opportunities, and you’ll find your fit amongst our global community of optimists and problem-solvers. We’re always pushing each other to go further because we believe that when we realize our potential, we can help others reach theirs.

Join us and play your part in something special!

The Manager, Product & Analytics leads the MPL data analytics team, owning team delivery, people development, and stakeholder relationships. This role is responsible for hiring, coaching, and developing data analysts; setting priorities and managing the intake of analytics requests; and ensuring the team delivers high-quality, timely analytical solutions that support business objectives. This position will also be responsible for operational initiatives for the MPL Product and Analytics department.
What you'll be doing
Define and maintain the analytics strategy and multi-year roadmap in alignment with MPL priorities. Own the intake and prioritization process, balancing business value, urgency, risk, and team capacity. Oversee analytics initiatives from problem definition and requirements through delivery, adoption, and outcome measurement. Establish delivery standards and ensure timely, accurate, and actionable reporting and analytical solutions. Oversee data sourcing and access strategy in partnership with IT, data owners, and business teams. Own data quality, governance, privacy, security, regulatory compliance, and responsible data-use practices. Set technical standards and tooling direction for reporting, statistical analysis, modeling, and visualization. Champion automation, reusable solutions, and self-service analytics to improve efficiency and scalability. Hire, coach, and develop data analysts; set performance expectations and support career progression. Manage workload, capacity, resourcing, and team operating rhythms to sustain reliable delivery. Represent analytics with senior and executive leaders and build strong cross-functional partnerships. Lead and manage operational initiatives and projects for the MPL Product & Analytics department Collaborate closely with Product Managers to provide data-driven insights and tools for managing product P&Ls.
What we're looking for
Bachelor's degree in analytics, statistics, mathematics, computer science, economics, business, actuarial science, or a related field preferred. 7+ years of analytics or reporting experience, including 2+ years leading, coaching, or mentoring teams. Advanced proficiency with SQL, DAX, Microsoft analytics tools, BI platforms, and data visualization. Working knowledge of Python or R, statistical methods, predictive modeling, and modern analytics practices. Demonstrated success managing analytics portfolios, priorities, projects, and resources. Excellent problem solving, executive communication, stakeholder management, and change-leadership skills. Knowledge of data governance and insurance operations; personal lines experience preferred. #LI-AB #LI-Hybrid US Work Authorization US Work Authorization required. Markel does not provide visa sponsorship for this position, now or in the future.
Who we are
Markel Group (NYSE – MKL) a fortune 500 company with over 60 offices in 20+ countries, is a holding company for insurance, reinsurance, specialist advisory and investment operations around the world. We’re all about people | We win together | We strive for better We enjoy the everyday | We think further What’s in it for you: In keeping with the values of the Markel Style, we strive to support our employees in living their lives to the fullest at home and at work. We offer competitive benefit programs that help meet our diverse and changing environment as well as support our employees’ needs at all stages