Manager, Product & Analytics

Markel•Milwaukee, WI

4d•Hybrid

About The Position

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.

Requirements

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.
US Work Authorization required. Markel does not provide visa sponsorship for this position, now or in the future.

Responsibilities

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.