Senior Product Manager – Data Analytics

D.R. Horton, Inc., the largest homebuilder in the U.S., was founded in 1978 and is a publicly traded company on the New York Stock Exchange. It is engaged in the construction and sale of high-quality homes designed principally for the entry-level and first time move-up markets. The Company also provides mortgage financing and title services for homebuyers through its mortgage and title subsidiaries. Please visit our website at www.drhorton.com for more information.

As the nation's largest homebuilder by volume, D.R. Horton is transforming how it uses data, AI, and digital solutions for the next generation of homebuilding, and we pair the reach of a national enterprise with a culture built on local ownership, practical innovation, and deep business partnerships. Our teams focus on solutions that work in the field and deliver real results, not technology for its own sake. In this role, you'll have a critical opportunity to shape modern capabilities that will influence how the company operates for years to come.

D.R. Horton, Inc. is currently looking for a Senior Product Manager - Data Analytics. The Senior Product Manager will work at the intersection of business needs, user experience, data, AI, and technology to turn meaningful problems into scalable products and capabilities. This role will own discovery, outcomes, prioritization, roadmap decisions, adoption, and value realization while partnering closely with business, design, engineering, analytics, and AI teams. The ideal candidate is curious, outcome-oriented, comfortable with ambiguity, and skilled at turning emerging technology into practical business value. Success in this role means products that reach adoption and measurable value, with clear scale, change, or stop recommendations backed by evidence.

Essential Duties and Responsibilities include the following. Other duties may be assigned.

• Own product vision, roadmap, backlog, business case, success measures, adoption, and lifecycle for assigned business or enterprise products.
• Spend meaningful time with business users and business leaders to understand workflows, pain points, local variation, decisions, and opportunities.
• Translate business needs into clear product requirements, user journeys, acceptance criteria, data needs, and prioritized releases.
• Lead cross-functional pods spanning Forward Deployed Engineers (FDEs), data engineers, data scientists, software engineers, architects, governance, and change partners.
• Measure product usage, operational outcomes, financial impact, and user feedback and recommend scale, change, or stop decisions.
• Represent the function in cross-functional discovery, architecture, governance, operational-readiness, and continuous-improvement activities as appropriate
• Stay current on relevant data, AI, digital, software, and industry practices and apply new capabilities when they create practical business value
• Identify, shape, and pilot new opportunities where data, AI, and digital capabilities can create business value, operating with an owner's mindset and a bias toward building, testing, and learning quickly
• Conduct all business in a professional and ethical manner
• Ability to travel overnight

Supervisory Responsibilities

• Supervises 2 or more employees