Lead Pricing & Land Analyst
LEN - Miami FL, United States
Lennar
Everything’s included by Lennar, the leading homebuilder of new homes for sale in the nation’s most desirable real estate markets.Lead Pricing & Land Analyst
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.
Lennar is looking for a dynamic, strategic, and technically proficient leader to oversee our Pricing Machine initiative—a flagship analytics product aimed at transforming how we price homes and align land acquisition strategies. This role is a unique blend of product leadership, technical depth, and business insight. You’ll lead the charge to ensure our homes are priced right, sold at the right time, and supported by a smart land acquisition strategy that fuels profitable growth across 40+ divisions.
You'll wear multiple hats—strategic product owner, analytics lead, and stakeholder liaison—connecting data science, product management, and land strategy into a unified vision. If you're passionate about using data and technology to drive better business decisions and want to play a key role in reshaping the homebuilding industry, we want to talk to you.
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.
The Pricing Machine is designed to help Lennar sell the right homes at the right time for the right price. By using algorithm-driven pricing recommendations and integrated data insights, the product aims to:
Improve pricing accuracy
Maximize margins
Support on-pace community performance
Reduce reliance on instinctual decision-making
Streamline feedback and iteration for sales teams and division leaders
Your job? Lead this initiative to its full potential—and connect it to smarter land acquisition and product planning decisions.
Your Responsibilities on the Team
Strategy & Leadership
Own and evolve the vision for the Pricing Machine, connecting pricing analytics with land acquisition insights.
Define success metrics, track outcomes, and drive continuous improvement based on feedback, adoption, and business impact.
Lead cross-functional collaboration across data science, land acquisition, sales, and executive stakeholders.
Product & Project Management
Serve as the product leader, overseeing the full lifecycle from vision to rollout and iteration.
Coordinate technical teams working on machine learning models, pricing algorithms, and data pipelines.
Bridge the gap between business needs and technical delivery, managing timelines and prioritizing features.
Data Science & Algorithm Oversight
Guide experimentation and validation of pricing models including elasticity, pacing, and revenue optimization.
Ensure quality, accuracy, and business relevance of algorithmic outputs.
Collaborate with data science teams to test hypotheses, gather feedback, and communicate insights clearly to business partners.
Land Strategy Integration
Use pricing insights to inform future land acquisitions, product-mix recommendations, and market strategy.
Support the Land team with data tools and dashboards that automate decision-making and connect land deals with projected community performance.
Requirements
Bachelor’s degree or higher in Statistics, Economics, Math, Computer Science, or a related analytical field with equivalent experience.
7+ years of experience in product management, analytics, or data science—ideally within pricing, real estate, or technology-driven strategy roles.
Strong fluency in SQL and working knowledge of Python or data science tools.
Experience managing complex projects and technical products end-to-end.
A bias toward action and iterative improvement.
Excellent communication skills, with the ability to bridge business and technical teams and make the complex simple.
Experience in real estate, land planning, or pricing strategy is a strong plus.
Life at Lennar
At Lennar, we are committed to fostering a supportive and enriching environment for our Associates, offering a comprehensive array of benefits designed to enhance their well-being and professional growth. Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision coverage, ensuring their health needs are well taken care of. Our 401(k) Retirement Plan, complete with a $1 for $1 Company Match up to 5%, helps secure their financial future, while Paid Parental Leave and an Associate Assistance Plan provide essential support during life's critical moments. To further support our Associates, we provide an Education Assistance Program and up to $30,000 in Adoption Assistance, underscoring our commitment to their diverse needs and aspirations. From the moment of hire, they can enjoy up to three weeks of vacation annually, alongside generous Holiday, Sick Leave, and Personal Day policies. Additionally, we offer a New Hire Referral Bonus Program, significant Home Purchase Discounts, and unique opportunities such as the Everyone’s Included Day. At Lennar, we believe in investing in our Associates, empowering them to thrive both personally and professionally. Lennar Associates will have access to these benefits as outlined by Lennar’s policies and applicable plan terms. Visit Lennartotalrewards.com to view our suite of benefits.
Join the fun and follow us on social media to see what's happening at our company, and don't forget to connect with us on Lennar: Overview | LinkedIn<https://www.linkedin.com/company/lennar/> for the latest job opportunities.
Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.
Tags: Computer Science Data pipelines Economics Machine Learning Mathematics ML models Pipelines Python SQL Statistics
Perks/benefits: 401(k) matching Career development Health care Medical leave Parental leave Salary bonus
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