Technical Staff Product Manager - Data
New
A
ApartmentIQPropTech data
Work from home across most of the U.S.Full-TimeStaff
Salary not disclosed
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Job Details
- Experience
- 8+ years of combined experience in product management, data science, or data analytics, including at least 4 years managing data products or data platforms
- Required Skills
- SQLProduct ManagementSnowflakeData scienceData modelingBigQueryDatabricksData analytics
Requirements
- Have 8+ years of combined experience in product management, data science, or data analytics, including at least 4 years managing data products or data platforms.
- Have a background in data science, analytics, or a quantitative field such as statistics, economics, or computer science.
- Bring a track record of root cause analysis on complex data issues, from identifying anomalies to shipping fixes.
- Understand modern data stack concepts, including pipelines, ETL/ELT, data warehousing, data modeling, and data quality tooling.
- Have experience with Snowflake, BigQuery, Databricks, or similar data warehousing tools.
- Have experience working closely with data engineers and data scientists, with enough technical depth to challenge assumptions.
- Be able to turn ambiguous data problems into clear priorities and actionable product plans.
- Have experience in a fast-moving B2B SaaS environment.
- Real estate, PropTech, or market data experience is a plus.
Responsibilities
- Own the data platform strategy and roadmap, including ingestion, data models, data quality, and delivery to internal and customer-facing products.
- Lead root cause analysis of data quality issues, anomalies, and metric discrepancies, and work with engineering on lasting fixes.
- Define data quality standards, SLAs, and monitoring to catch issues before they reach customers.
- Partner with data engineering and data science to scope technical requirements, weigh tradeoffs, and prioritize the backlog.
- Turn the needs of internal data users and multifamily operators into clear platform requirements.
- Define and track metrics for platform health, adoption, and business impact.
- Evaluate data sources, vendors, and partnerships that expand the depth and accuracy of market intelligence.
- Explain technical concepts to non-technical stakeholders and leadership.
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