Product Manager, Data Analytics

What You'll Do

• Collaborates with business, analytics, and engineering teams to define the vision, strategy, and long-term roadmap for data and machine learning products.
• Translates complex pricing, forecasting, and operational needs into clear product requirements, user stories, and acceptance criteria.
• Led prioritization across competing business and technical needs, managing backlogs and release plans.
• Serves as product spokesperson and subject matter expert for analytics capabilities across the enterprise.
• Works directly with data scientists to understand and refine model outputs, feature relevance, performance metrics, and constraints.
• Applies strong technical knowledge of machine learning workflows, pipelines, APIs, and model monitoring to guide product direction and evaluate trade-offs.
• PARTNERED WITH THE SENIOR SOFTWARE ENGINEER DATA & ANALYTICS PRODUCTS TO OPERATIONALIZE MODELS INTO USER-FACING APPLICATIONS AND ENTERPRISE SYSTEMS.
• Ensures all ML-driven product features emphasize explainability, compliance, and reliability.
• DEFINES AND TRACKS KEY KPIs (E.G., MODEL ACCURACY, REVENUE LIFT, ADOPTION, SYSTEM RELIABILITY) TO MEASURE PRODUCT PERFORMANCE AND BUSINESS IMPACT.
• Establishes a structured cadence for reviewing KPIs with cross-functional partners and initiating corrective actions or enhancements.
• DRIVES SUCCESSFUL DELIVERY OF MILLENNIA, MVP RELEASES, AND PRODUCT ITERATIONS.
• LEADS RETROSPECTIVES AND DRIVES CONTINUOUS IMPROVEMENT OF ANALYTICS WORKFLOWS, MODEL GOVERNANCE, AND PRODUCT EXECUTION PROCESSES.
• ACTS AS THE BRIDGE BETWEEN DATA SCIENTISTS, SOFTWARE ENGINEERS, IT, PRICING, AND OPERATIONS TEAMS.
• Facilitates workshops, demos, feedback sessions, and cross-functional updates to maintain alignment and transparency.
• COMMUNICATES COMPLEX ANALYTICAL CONCEPTS IN A CLEAR, BUSINESS-RELEVANT MANNER FOR STAKEHOLDERS AT ALL LEVELS.
• SUPPORTS CHANGE MANAGEMENT, TRAINING, AND ADoption FOR NEW ANALYTICS CAPABILITIES ACROSS THE ORGANIZATION.

  Requirements

  • Bachelor's degree required; degree in Business, Computer Science, Engineering, Analytics, Economics, or related field preferred.
  • 5 plus years of experience in Product Management, Technical Program Management, or Engineering, with a focus on data, analytics, or platform development.
  • Strong technical working knowledge of machine learning models, data pipelines, model deployment workflows, and APIs— with hands-on experience partnering with data scientists and engineers.
  • Demonstrated ability to integrate machine learning driven features into end-to-end production systems and evaluate model performance.
  • Proficiency with SQL, analytics environments, and BI tools (Power BI, Tableau, etc.).
  • Proven experience with Agile methodologies, backlog management, sprint execution, and iterative product delivery.
  • Experience defining and managing program-level KPIs, establishing review cadences, and leading data-driven decision processes.
  • Experience in Revenue Management, pricing optimization, forecasting, yield management, or similar analytical domains (real estate, hospitality, travel, etc.).
  • Excellent verbal and written communication skills with ability to translate between technical and non-technical stakeholders.

    Pay

    $106,228-$132,785 per year; in addition to base salary, a discretionary 16.0% annual bonus is provided. The successful candidate's starting pay will be determined based on job-related skills, experience, and qualifications.

    Benefits

    • Physical Wellbeing: Medical, dental, and vision care
    • Social Wellbeing: 9 paid holidays, annual vacation time, paid sick leave, new parent benefits
    • Financial Wellbeing: 401(k) Retirement Savings Plan, Rent Discounts, Competitive Compensation
    • Community Wellbeing: Paid Community Service Hours
    • Career Wellbeing: Leadership Development

    Company Information

    • RELOCATION: Equity Residential does not cover relocation costs for this opportunity; all relocation and related expenses are the responsibility of the candidate.
    • Working Environment: Equity Residential is an Equal Opportunity Employer. We are committed to hiring a diverse workforce. Equity Residential has a smoke-free workplace environment.