Group Product Manager, Data & Analytics

Quick Facts

• Title: Group Product Manager, Data & Analytics

Description

Lead the strategic vision and roadmap for an enterprise data platform, reporting suites, and AI/ML initiatives. Conduct customer and market research, translate complex data capabilities into actionable product strategies, and partner across business, data engineering, data science, design, and end users to deliver predictive models and user-facing analytics. Measure product success, manage escalations, and ensure secure-by-design compliance across product workflows.

Responsibilities

• Define and communicate strategy and roadmap for enterprise data, reporting, and AI/ML initiatives

• Lead customer and market research to turn insights into actionable requirements and product features

• Partner with internal and external stakeholders to create the data and analytics roadmap

• Work closely with Data Science, ML Engineering, Data Engineering, and Design to convert telemetry, IoT, operations, and property data into predictive models, user-facing analytics, and business intelligence

• Translate stakeholder needs into clear technical requirements, PRDs, and data specifications (data models, pipelines, API integrations, and metric definitions)

• Balance timing, cost, features, and performance to deliver high-impact products on schedule and within budget

• Measure product success with data-driven methods; establish telemetry metrics and continuously optimize adoption and performance

• Manage escalations and influence stakeholders to resolve issues and drive consensus

• Mentor and coach a team of product managers to build a data-informed product culture

• Ensure security, regulatory, and operational compliance with secure-by-design practices

• Develop and maintain dashboards, KPIs, and reporting mechanisms for decision-making

Requirements

• Bachelor’s degree in Marketing, Economics, Computer Science, Business, or a related technical field; 7+ years of product management experience

• 3+ years managing data products, analytics platforms, data infrastructure, or machine learning solutions (preferably PropTech, SaaS, or IoT)

• 2–5 years of people management experience building and growing high-performing teams

• Proven collaboration with Data Scientists, Data Engineers, and ML teams to ship data-driven features or predictive models (strong technical comprehension required; not necessarily hands-on)

• Experience executing end-to-end quantitative and qualitative customer research and interpreting findings

• Strong understanding of data pipelines, ETL, data architecture, and ML model training and production deployment

• Highly analytical problem-solving with attention to detail

• Experience defining a product roadmap and prioritizing features based on end-user needs

• Familiarity with JIRA, Confluence, and tools such as Figma/Sketch/Amplitude/GitLab/GitHub/Prototyping

• Good understanding of LLMs, MCP, and GenAI

Benefits

• Comprehensive U.S. benefits: medical, dental, vision, and life insurance with low deductibles and 75–100% employer contributions

• Flexible, generous PTO

• Competitive 401(k) with employer contributions

• Paid parental leave

• Discounted pet and legal insurance plans

• Employee stock purchase plan