VP Product, Data and Analytics

About the Role

Key Responsibilities

• Own and evolve the product vision and multi-year roadmap in alignment with company strategy and customer needs.
• Chart the course for the future of the business with the latest developments in AI and agentic workflows.
• Prioritize product initiatives based on data, user insights, and business goals.
• Identify new opportunities in the real estate technology and data landscape to expand market share and customer value.
• Partner with executive leadership to align product direction with financial and strategic objectives.
• Lead the product management team to define, build, and ship best-in-class solutions.
• Collaborate with engineering, data, and design teams to deliver high-impact features on time and at scale.
• Ensure clarity and alignment around product requirements, KPIs, and success metrics.
• Foster a culture of experimentation, continuous learning, and iterative delivery.
• Engage with customers, prospects, and industry stakeholders to understand their workflows and pain points.
• Stay current on market and technology trends, competitive landscape, and evolving customer needs.
• Translate insights into actionable product strategies that drive adoption, retention, and expansion.
• Hire, mentor, and grow a high-performing product team.
• Champion a customer-first mindset and agile best practices across the organization.
• Drive alignment across departments to ensure smooth go-to-market and customer onboarding processes.

Requirements

• 10+ years of experience in product management, with at least 3-5 years in a leadership role managing and scaling product teams.
• Proven track record of leading cross-functional teams and delivering complex, high-impact products.
• Ability to inspire and motivate a team to achieve ambitious goals.
• Demonstrated success earning the trust of stakeholders and leading cross-functional initiatives.
• Strong leadership presence and interpersonal skills with the ability to influence and motivate people at all levels.
• Ability to think strategically and develop long-term product roadmaps.
• Comfortable balancing long-term vision with short-term execution priorities.
• Deep understanding of business, technology, and customer needs and how to translate them into innovative product solutions.
• Passion for solving problems and willingness to directly execute, including hypothesis development, implementation, measurement, and iteration.
• Data-driven decision-making skills and a deep understanding of metrics that drive product success.
• Ability to quickly analyze data to identify trends, opportunities, and areas of improvement.
• Excellent written and verbal communication skills, capable of articulating strategies and goals to diverse audiences.

Nice to Have

• Background in real estate, geospatial data, or risk modeling.
• Experience with B2B SaaS products or platforms serving institutional clients.
• Familiarity with the latest AI models, tools and frameworks.
• MBA or advanced degree.

Qualifications

• Educational background not explicitly specified, but advanced degrees are considered a plus.

Benefits & Perks

• Comprehensive benefits package including medical, dental, vision, 401k, PTO/paid sick leave.
• Employee stock purchase plan.