[Hiring] Group Product Manager @H&R Block Management

Role Description

As the Group Product Manager, Product Analytics & Experimentation, you will provide strategic and people leadership for H&R Block’s analytics and experimentation capabilities across a portfolio of products and experiences. You will set the vision, operating model, and standards for experimentation and analytics, ensuring data-driven decision-making, trusted insights, and scalable practices are embedded across product discovery, delivery, and optimization. By combining deep domain expertise with organizational leadership, you will lead high-performing teams and position analytics and experimentation as a key driver of product growth and competitive advantage.

Day to day, you'll:

• Partner with product leaders to define strategy and vision for Product Analytics & Experimentation across H&R Block products & experiences, aligning to enterprise objectives and product strategy.
• Lead and develop a team by providing clear direction, coaching, and growth paths while setting a high bar for execution and impact.
• Establish and scale enterprise standards for experiment design, analytics tagging, validation, and data governance to ensure trusted, actionable insights.
• Manage and support the experimentation roadmap across product lines, ensuring prioritization balances learning velocity, customer impact, and business outcomes.
• Partner deeply with Product, Engineering, Design, Marketing, and Risk to integrate analytics and experimentation into roadmaps, discovery, and delivery workflows.
• Champion tooling and platform decisions, such as Adobe Analytics, Adobe Target, AEP, and CJA, ensuring scalability, efficiency, and operational excellence.
• Create clarity and alignment through documentation, operating norms, and communication that enable teams to confidently design, execute, and interpret experiments.
• Present insights, recommendations, and risks to senior leadership, translating complex data into clear narratives that inform strategy and investment decisions.
• Model and reinforce a culture of learning, curiosity, and evidence-based decision-making across the product organization.

Qualifications

• Bachelor’s degree in a related field or the equivalent through a combination of education and related work experience.
• 7+ years of experience in product analytics, experimentation, product management, or related fields.
• Proven success leading teams, managers, and high-performing organizations.
• Expertise in digital analytics, experimentation, and data-driven product decision-making, including Adobe Analytics, Adobe Target, Adobe Launch, AEP, and Customer Journey Analytics.
• Experience building and scaling processes, standards, and operating models across multiple teams.
• Exceptional ability to translate complex data into actionable insights and influence executive stakeholders.
• Strategic and people-focused leader with strong technical acumen, a balance of long-term vision and execution, and a passion for developing talent and high-performing teams.

Preferred Qualifications

• Experience working in highly regulated environments with close partnership across Risk and Compliance.
• Familiarity with Agile, Lean, and product development best practices at scale.
• Experience with Azure DevOps, Jira, Confluence, and Figma, or similar tools.
• Certifications in Agile, Product Management, Experimentation, or Analytics.

Benefits

• Competitive pay.
• Comprehensive benefits.
• Support for life both in and outside of work.
• Medical and prescription drug coverage for qualifying associates and their eligible dependents.
• Participation in the H&R Block Retirement Savings Plan (401(k) Plan).
• Access to the Employee Assistance Program and (virtual) fitness center programs.
• Associate discount program.
• Automatic enrollment in Business Travel Accident Insurance.
• Associate Tax Prep benefit.

Pay Range

The pay range for this position is $125,500.00 - $200,800.00/Yr. Local minimum wage laws apply. Individual pay decisions will depend on job-related factors such as experience, education, skill, performance, and geographic location where work will be performed. Successful candidates may be able to participate in one or more incentive compensation or short-term incentive plans, which could generate additional earnings in accordance with the terms of each plan.