Manager, Product & Analytics

Quick Facts

• Role: Manager, Product & Analytics

• Focus: Leads the MPL data analytics team

Description

The Manager, Product & Analytics leads the MPL data analytics team, owning team delivery, people development, and stakeholder relationships. The role defines the analytics strategy and multi-year roadmap, manages analytics intake and prioritization, and ensures timely, high-quality analytical solutions that support business objectives. You’ll also drive operational initiatives across the MPL Product & Analytics department, including data governance, reporting standards, and automation.

Responsibilities

• Define and maintain the analytics strategy and multi-year roadmap aligned with MPL priorities

• Own analytics intake and prioritization (value, urgency, risk, and capacity)

• Oversee analytics initiatives from problem definition through delivery, adoption, and outcome measurement

• Establish delivery standards for timely, accurate, actionable reporting and analytics

• Oversee data sourcing and access strategy 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

• Hire, coach, and develop data analysts; set performance expectations and support career progression

• Manage workload, capacity, resourcing, and team operating rhythms

• Represent analytics with senior/executive leaders and build cross-functional partnerships

• Lead operational initiatives and projects for the MPL Product & Analytics department

• Collaborate with Product Managers to provide data-driven insights for managing product P&Ls

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/mentoring teams

• Advanced SQL and strong experience with DAX, Microsoft analytics tools, BI platforms, and data visualization

• Working knowledge of Python or R, statistical methods, predictive modeling, and modern analytics practices

• Proven ability to manage 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 (no visa sponsorship)

Benefits

• Competitive health, dental, and vision insurance options; optional life, disability, and AD&D coverage

• 401(k) with employer match; Employee Stock Purchase Plan

• PTO, corporate holidays and floating holidays, parental leave