Senior Product Manager – Data Analytics

Taleo Social Sourcing•Arlington, TX

21h

About The Position

D.R. Horton is seeking a Senior Product Manager to turn business problems into scalable data, AI, and digital products and capabilities. The role works at the intersection of business needs, user experience, data, AI, and technology, and owns discovery, outcomes, prioritization, roadmap decisions, adoption, and value realization. The manager partners with business, design, engineering, analytics, and AI teams, aiming to deliver products that achieve adoption and measurable value, with evidence-based recommendations to scale, change, or stop them. The position owns the vision, roadmap, backlog, business case, success measures, adoption, and lifecycle for assigned products. It involves close engagement with business users and leaders to understand workflows, pain points, variation, decisions, and opportunities; translating those findings into product requirements and prioritized releases; and leading cross-functional teams. The manager measures product usage, operational outcomes, financial impact, and user feedback, and represents the function in relevant discovery, architecture, governance, operational-readiness, and continuous-improvement activities. The role also identifies and pilots opportunities where data, AI, and digital capabilities can create practical business value. The role supervises two or more employees, requires overnight travel, and calls for professional and ethical conduct. D.R. Horton offers a benefits package that includes medical, dental, and vision coverage; a 401(k); an employee stock purchase plan; flexible spending accounts; life and disability insurance; vacation, sick, and personal time; company holidays; and other voluntary and company-provided benefits.

Requirements

Bachelor's degree in Business, Technology, Engineering, Analytics, or a related field, or equivalent experience.
At least 6 years of product management, digital transformation, business process, analytics, technology, or related experience.
Demonstrated experience owning products or complex initiatives from discovery through launch, adoption, and continuous improvement.
Ability to translate between business operations and technical teams while preserving the underlying business outcome.
Strong facilitation, prioritization, stakeholder management, and executive communication skills.
Ability to work independently, take ownership, communicate clearly, and deliver results in an evolving environment.
Ability to build trusted relationships across the organization while balancing enterprise standards with business needs and operating realities.

Nice To Haves

Experience with data products, AI-enabled and agentic products, decision support, workflow automation, enterprise software, or incubating new AI-enabled offerings.
Experience in homebuilding, real estate, construction, mortgage, title, land development, sales, purchasing, finance, customer care, or another distributed operating business.
Experience working in a large enterprise with complex enterprise environments.
Experience founding, incubating, or building new products, capabilities, or businesses from the ground up.

Responsibilities

Own product vision, roadmap, backlog, business case, success measures, adoption, and lifecycle for assigned business or enterprise products.
Engage with business users and leaders to understand workflows, pain points, local variation, decisions, and opportunities.
Translate business needs into product requirements, user journeys, acceptance criteria, data needs, and prioritized releases.
Lead cross-functional pods involving Forward Deployed Engineers, data engineers, data scientists, software engineers, architects, governance, and change partners.
Measure product usage, operational outcomes, financial impact, and user feedback; recommend whether to scale, change, or stop products.
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 opportunities for data, AI, and digital capabilities to create business value, building, testing, and learning quickly.
Conduct all business in a professional and ethical manner.
Supervise two or more employees.
Travel overnight.