Vice President, Enterprise Data and Analytics

H&R Block•Remote, MO

1d•$248,000 - $372,000

About The Position

H&R Block is seeking a Vice President, Enterprise Data & Analytics to shape and execute an enterprise data strategy aligned with growth priorities and customer outcomes. Reporting to the Chief Strategy & Operations Officer, this leader will build trusted data capabilities and turn them into measurable growth, improved experiences, and stronger business performance. The role combines enterprise data leadership with accountability for reporting, forecasting, experimentation, data science, measurement, and decision support, balancing long-term direction with near-term milestones and outcomes. The Vice President will establish an operating model that pairs enterprise standards with clear business ownership and cross-functional delivery. Business teams will continue to own how data is defined and used, while delivery partners remain accountable for execution. The leader will clarify priorities, decisions, and responsibilities and partner across Product, Technology, Marketing, Retail, Operations, Finance, Information Security, and other business teams. The role will establish practical governance and trusted metrics; lead shared data capabilities, beginning with customer identity; develop scalable data products for personalization, responsible AI, and connected digital experiences; and lead an analytics organization focused on important business questions. Success includes a clear enterprise roadmap, consistent customer understanding, reusable data products, faster and more confident decisions, and analytics that translate insight into measurable business value. H&R Block describes its purpose as providing help and inspiring confidence in clients and communities. The company has operated in the tax industry for more than 70 years and is evolving through its Block Next strategy, combining human expertise with digital innovation. It describes its culture as high-performing and connected, with strong relationships, continuous learning, and a commitment to impact. The position offers competitive pay and benefits. The stated annual pay range is $248,000–$372,000; individual pay decisions depend on job-related factors, and eligible candidates may participate in incentive compensation or short-term incentive plans.

Requirements

Track record leading enterprise data and analytics across complex organizations and turning investment into adoption, measurable outcomes, and lasting business value.
Experience establishing practical governance, including ownership, stewardship, quality standards, decision rights, shared definitions, and trusted enterprise metrics.
Experience building shared data capabilities or products, such as customer identity, customer intelligence, or reusable enterprise data assets.
Leadership depth in analytics and decision science, including reporting, forecasting, experimentation, data science, and measurement.
Strong business and technical fluency, connecting customer and business needs to governance, architecture, and engineering execution.
Executive presence, influence, and sound judgment, with a record of resolving difficult tradeoffs, leading change, and building teams that deliver.

Nice To Haves

Experience in a customer-centered, multichannel business where customer identity, personalization, governance, and enterprise analytics are important to performance.
Experience establishing trusted data foundations for AI, personalization, or connected digital experiences.
Background in enterprise data leadership or product leadership for shared data, customer identity, intelligence, personalization, or enterprise platform capabilities.

Responsibilities

Own and execute an enterprise data strategy aligned with company growth priorities and customer outcomes, using a sequenced roadmap with meaningful quarterly progress.
Partner with executive leaders to prioritize high-impact opportunities, guide investment decisions, and define measurable outcomes for data and analytics initiatives.
Help leaders turn complex data questions into clear decisions and measurable action.
Establish practical governance covering data ownership, stewardship, quality standards, decision rights, and escalation paths.
Create shared business definitions and a trusted metrics foundation, resolving competing definitions and ownership questions with leaders.
Partner with Technology and Information Security to enable appropriate access, permissions, and responsible data reuse.
Lead the strategy and cross-functional delivery of shared data capabilities, starting with customer identity and expanding to customer intelligence and reusable data products.
Partner with Product and Technology to build scalable data products that support personalization, responsible AI, and connected digital experiences.
Measure data-product success through adoption, reuse, speed, and business value while reducing duplicated work.
Lead and grow a team of data scientists, machine learning experts, and analysts working on forecasting, experimentation, measurement, and decision support.
Connect analytics priorities to the data roadmap and help business leaders turn insights into action that improves customer experience and performance.
Build and develop a multidisciplinary data and analytics organization with clear priorities and accountability.
Lead enterprise change, build executive alignment, navigate tradeoffs, and bring business and technical teams together around shared outcomes.

Benefits

Competitive pay
Comprehensive benefits
Medical and prescription drug coverage for qualifying associates and eligible dependents
H&R Block Retirement Savings Plan (401(k) Plan)
Employee Assistance Program
Virtual fitness center programs
Associate discount program
Business Travel Accident Insurance
Associate Tax Prep benefit
Possible participation in incentive compensation or short-term incentive plans