Pricing & Analytics Lead

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.

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.
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.
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.
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.