[Hiring] Vice President, Enterprise Data and Analytics @H&R Block Management

Role Description

H&R Block is looking for a Vice President, Enterprise Data & Analytics to turn data into an advantage for our customers and our business. Reporting to the Chief Strategy & Operations Officer, this leader will shape and execute an enterprise data strategy that sharpens customer understanding, speeds decision-making, and unlocks responsible AI and personalization.

This role brings enterprise data leadership together with hands-on accountability for reporting, forecasting, experimentation, data science, measurement, and decision support. You will set the long-term direction while delivering near-term wins, with clear milestones, measurable outcomes, and visible progress from the start.

You will create an operating model that pairs enterprise standards with clear business ownership and fast, cross-functional delivery.

What You’ll Lead

• Enterprise Data Strategy & Business Value
  • Own and execute the enterprise data strategy, aligned to H&R Block’s growth priorities and the customer outcomes that matter most.
  • Partner with executive leaders to prioritize high-impact opportunities, guide investment decisions, and define measurable outcomes for data and analytics initiatives.
  • Make data easier to understand and act on, helping leaders turn complex questions into clear decisions and measurable action.
• Data Foundations & Governance
  • Establish practical governance, including data ownership, stewardship, quality standards, decision rights, and escalation paths.
  • Create shared business definitions and a trusted metrics foundation.
  • Partner with Technology and Information Security to enable appropriate access, permissions, and responsible reuse.
• Enterprise Data Capabilities & Products
  • Lead the strategy and cross-functional delivery of shared data capabilities, beginning with customer identity and expanding to customer intelligence and reusable data products.
  • Partner with Product and Technology to build scalable data products that power smarter personalization, responsible AI, and connected digital experiences.
  • Measure success through adoption, reuse, speed, and business value, while reducing duplicated work across teams.
• Analytics & Decision Science
  • Lead and grow a high-performing team of data scientists, machine learning experts, and analysts focused on the company’s most important business questions.
  • Connect analytics priorities to the data roadmap and help business leaders convert insight into action that improves customer experience and performance.
• Organizational & Cross-Functional Leadership
  • Build and develop an exceptional, multidisciplinary data and analytics organization with clear priorities, strong accountability, and room for people to do their best work.
  • Lead enterprise change with clarity and momentum, building executive alignment, navigating tradeoffs, and bringing business and technical teams together around common outcomes.

Qualifications

• A track record of leading enterprise data and analytics across complex organizations.
• Experience establishing governance that works in practice.
• Experience building shared data capabilities or products.
• Leadership depth in analytics and decision science.
• Strong business and technical fluency.
• Executive presence, influence, and sound judgment.

Preferred Qualifications

• Experience in a customer-centered, multichannel business.
• Experience establishing trusted data foundations for AI and personalization.
• A background in enterprise data leadership or product leadership for shared data.

What Success Looks Like

• A clear enterprise data roadmap that balances long-term direction with near-term milestones.
• A more complete and consistent understanding of customers across products, channels, and experiences.
• Trusted data and shared definitions that reduce debate, speed decisions, and increase confidence.
• Practical governance that resolves issues quickly.
• Reusable data products that accelerate analytics, personalization, and responsible AI.
• A high-performing analytics organization known for turning insight into action.

Benefits

• Competitive pay.
• Comprehensive benefits.
• Support for life both in and outside of work.

Pay Range Information

The pay range for this position is $248,000.00 - $372,000.00/Yr. Local minimum wage laws apply. Individual pay decisions will depend on job-related factors such as experience, education, skill, performance, and geographic location.