Senior Director of Data Science – 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 Director of Data Science. The Senior Director of Data Science will build and lead an enterprise capability that turns advanced analytics, machine learning, and AI into measurable business outcomes. This leader will shape technical direction, develop talent, establish rigorous modeling and production practices, and create strong partnerships that move high-value ideas from exploration into scaled use. The ideal candidate combines deep data science credibility with enterprise leadership and a builder mentality focused on creating capabilities that endure. Success in this role means an enterprise data science capability with the talent, standards, and partnerships to move high-value models into scaled production use and prove their business impact.

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

• Set applied data science strategy, standards, talent model, and technical roadmap aligned to business priorities
• Lead portfolios of forecasting, optimization, experimentation, machine learning, and advanced analytics products across priority pillars
• Ensure teams begin with decisions and measurable outcomes, not models, and select the simplest approach that can create reliable value
• Establish scientific rigor for validation, experimentation, monitoring, explainability, reproducibility, and model lifecycle management
• Partner with Product, Forward Deployed Engineering (FDE), Platform, Architecture, Governance, and business subject-matter experts (SMEs) to move models from research into production workflows
• 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