The nation's premier single-family home leasing company.
Data Product Manager
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
Job Description
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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