Invitation Homes

The nation's premier single-family home leasing company.

Data Product Manager

Product ManagerProduct ManagerFull TimeRemoteTeam 1,001-5,000Since 2012H1B SponsorCompany SiteLinkedIn

Location

Utah + 13 moreAll locations: Utah, Texas, Nevada, Florida, Georgia, Arizona, Illinois, Colorado, California, Minnesota, Tennessee, North Carolina, South Carolina, District Of Columbia

Posted

20 days ago

Salary

$92.0K - $159.4K / year

Bachelor Degree2 yrs expEnglishSnowflakeBigqueryDbtAirflowSQLPythonETLELTAPI

Job Description

Who we are Invitation Homes is a fast-paced evolving publicly traded REIT that is pioneering a new industry with over 110,000 single family rental homes and a market capitalization of over $25 billion. We are a team of more than 1,600 associates who come from all walks of life. We call different communities “home,” but our shared values bind us together. Invitation Homes is a place where possibility lives. Job Summary The Enterprise Data Product Manager is responsible for defining, delivering, and scaling data products that power analytics, operational reporting, and enterprise decision making. This role sits at the intersection of business, data engineering, and product management, driving the evolution of our enterprise data platform and ensuring that high-quality, governed data is available to support key functions across the organization. You will develop a deep understanding of our business model, operational processes, and data ecosystem, and use that knowledge to build products that improve efficiency, reduce manual effort, and unlock self-service insights for stakeholders. You will partner closely with data engineers, analytics engineers, architects, and functional leaders across leasing, marketing, maintenance, finance, legal, compliance, investments, and investor relations. The Enterprise Data Product Manager ensures we deliver the right data product at the right time, balancing cost, risk, speed, and long-term scalability. Essential Duties and Responsibilities: Product Strategy and Roadmapping Partner with the Senior Manager, Product to develop and maintain product roadmaps for enterprise data products aligned to the approved data strategy. Define the vision, outcomes, and success metrics for new data capabilities and improve existing products throughout their lifecycle. Identify opportunities to automate reporting, enhance data quality, reduce operational friction, and expand self-service analytics. Stakeholder Engagement and Requirements Salary Range The salary range for this position is: $91,950.00 - $159,380.00, plus individuals may be eligible for an annual discretionary bonus. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications, location, and applicable employment laws. Compensation and Benefits To attract and retain top talent, we're pleased to offer competitive compensation and benefits, including: Annual bonus program Health, dental, vision, and life insurance Long-term and short-term disability insurance Generous paid time off plans include vacation accrual, sick time, standard holidays and floating holidays 401(k) with company matching contributions Awesome work environment with casual dress Team events and gatherings (Pre- and Post-Covid) Invitation Homes is an equal opportunity employer committed to fostering a diverse, inclusive and innovative environment with the best associates. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, Veteran status or any other factor protected by applicable federal, state or local law. If you have a disability or special need that requires accommodation, please contact us at humanresources@invitationhomes.com . To all recruitment agencies: Invitation Homes does not accept agency resumes.  Please do not forward resumes to Invitation Homes employees.  Invitation Homes is not responsible for any fees related to unsolicited resumes. #LI-JA1

Job Requirements

  • Build strong, collaborative relationships with business partners and senior leaders across all functional areas.
  • Translate business needs into clear, actionable product requirements, user stories, and acceptance criteria for engineering teams.
  • Execution and Delivery
  • Build and prioritize product backlogs using customer research, data insights, and engineering constraints.
  • Work closely with data engineering and analytics engineering to understand system integrations, data models, ETL and ELT pipelines, and semantic layers.
  • Manage scope, risks, and delivery tradeoffs while maintaining transparency with stakeholders.
  • Drive continuous improvement by defining MVPs, focusing on key milestones, and executing fast-follow releases.
  • Validate completed stories, prepare the backlog for upcoming sprints, and lead product review sessions.
  • Technical Understanding and Data Fluency
  • Develop strong working knowledge of the enterprise data architecture, data domains, and operational systems impacted by new product work.
  • Understand modern data stack components such as Snowflake, dbt, orchestration tools, and API integration patterns, and how they support scalable data products.
  • Create wireframes, dashboard layouts, data flow concepts, or mock reports to support solution design.
  • Partner with legal, risk, and security teams to ensure compliance and data governance requirements are met.
  • Lifecycle Management
  • Monitor product performance, user engagement, and data quality, and proactively identify enhancements or decommissioning opportunities.
  • Ensure timely resolution of technical and business issues.
  • Education and Experience
  • Bachelor’s degree or equivalent experience required.
  • 2 or more years of product management or software development experience, ideally supporting data, analytics, or platform products.
  • Experience with Data and Analytics, data engineering workflows, or modern data platforms preferred.
  • Experience in real estate, financial operations, or technology industries is a plus.
  • Skills and Specialized Knowledge
  • Familiarity with modern data warehouse and analytics stacks such as Snowflake, BigQuery, dbt, or Airflow.
  • Understanding of ETL and ELT patterns, data modeling concepts, and API or integration workflows.
  • Ability to read or write basic SQL or Python preferred.
  • Strong business and technical acumen with the ability to translate complex technical concepts into simple, clear language.
  • Agile and Scrum experience and comfort leading cross-functional teams.
  • Excellent communication, collaboration, and stakeholder management skills.
  • Ability to negotiate priorities, manage expectations, and influence without authority.
  • Strong problem-solving mindset with the ability to balance user empathy with business impact.
  • Demonstrated ability to work across multiple teams and drive alignment in complex environments.
  • High ownership, adaptability, and willingness to work through ambiguity.

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