Sr Product Manager

Sr. Product Manager We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service, giving back to the communities in which we work and live in, and fostering a culture of opportunity and growth for our Associates throughout their career.

Lennar has been recognized as a Fortune 500® company and consistently ranked among the top homebuilders in the United States. Join a Company that Empowers you to Build your Future As a Sr. Product Manager at Lennar, you will translate bold strategic goals into a scalable data and analytics product portfolio - enabling teams across the enterprise to access trusted data, develop advanced analytics, and deploy AI-driven solutions.

This is a high-visibility, high-ownership role that blends product management and program leadership across enterprise coordination and change management. You will partner closely with data engineering, analytics, and AI teams to drive the successful delivery and adoption of data products that matter. We’re looking for someone who thrives on complexity, operates with autonomy, and influences cross-functional partners without relying on authority.

If you set high standards, make decisions that scale, and are passionate about using data and technology to improve the customer and employee experience, we’d love to meet you. Come leave your mark on an iconic brand. A career with purpose. A career built on making dreams come true. A career built on building zero defect homes, cost management, and adherence to schedules.

Your Responsibilities on the Team Product Vision & Roadmap Lead the product vision, roadmap, and evolution of solutions supporting analytics and AI capabilities across the organization. Translate enterprise data and AI strategy into a clear, actionable product roadmap that prioritizes capabilities delivering the greatest business impact. Define product success metrics and continuously evaluate effectiveness through usage, adoption, and business outcomes.

Product Lifecycle & Delivery Coordination Establish and implement lean product lifecycle practices - intake, prioritization, release planning, and governance across the data product portfolio. Coordinate delivery across data engineering, analytics, and AI teams; manage cross-team dependencies and maintain roadmap momentum. Introduce scalable product operating standards, playbooks, and frameworks for the broader D&A organization. Enterprise Coordination & Stakeholder Alignment Serve as the coordination point between technology teams, business stakeholders, and leadership by aligning priorities and driving decisions.

Align enterprise stakeholders around product priorities, portfolio capabilities, and the long-term data and analytics strategy. Communicate product vision, progress, and value in exec-ready formats; represent product strategy in leadership forums. Adoption, Rollout & Change Management Lead end-to-end product rollout strategies ensuring successful launch, adoption, and sustained utilization across the enterprise. Develop enablement programs, communication plans, and adoption frameworks that accelerate time-to-value for end users.

Establish user feedback loops and drive continuous improvement in product usability and organizational fit. Requirements 7+ years of product management and/or enterprise program leadership experience, with a track record of delivering platform-scale or data-driven products in large enterprise environments. Proven experience launching or scaling data products, analytics solutions, AI-enabled capabilities, or large-scale enterprise platform programs; including, establishing lean product lifecycle practices and leading rollout and adoption programs end-to-end.

Proven ability to bridge the gap between technical teams and business stakeholders - translating complex solutions into clear, outcome-focused narratives Familiarity with modern data platforms, analytics ecosystems, and AI/ML capabilities - sufficient to lead product and program decisions with…