Senior Product Manager – Data Analytics

D.R. Horton•Arlington, TX

19h

About The Position

D.R. Horton is seeking a Senior Product Manager to work at the intersection of business needs, user experience, data, AI, and technology. The role turns meaningful business problems into scalable products and capabilities and owns discovery, outcomes, prioritization, roadmap decisions, adoption, and value realization. The successful candidate will shape modern capabilities for the company by partnering with business, design, engineering, analytics, and AI teams, focusing on practical solutions that deliver measurable results. The Senior Product Manager owns assigned business or enterprise products throughout their lifecycle, from vision and discovery through adoption and value measurement. The role involves working closely with business users and leaders to understand workflows and opportunities; translating needs into product requirements and prioritized releases; and leading cross-functional teams. The position also identifies and pilots opportunities for data, AI, and digital capabilities, and recommends whether to scale, change, or stop products based on evidence. The role supervises two or more employees, requires overnight travel, and requires professional and ethical conduct.

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.
Spend meaningful time 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 spanning 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 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 opportunities where data, AI, and digital capabilities can create business value, with an owner's mindset and a bias toward building, testing, and learning quickly.
Conduct all business in a professional and ethical manner.
Supervise two or more employees.
Travel overnight.