Product Manager —Data Warehouse

Irvine, CA - USA

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

About the role

Own the roadmap for Data Warehouse -the analytics backbone used by self-storage operators for revenue operations finance and portfolio decisions. Youll translate business questions into trustworthy metrics and BI experiences and youll be hands-on with DAX and SQL to validate logic prototype measures and guide engineering toward scalable models. TDW emphasizes operator control/ownership of data and provides unfettered access to raw operational data with BI tooling and pre-defined dashboards enabling data-driven decision-making across portfolios.

What youll do

Own vision & roadmap for TDW Hummingbird Reports across billing payments finance operations and marketing use cases.
Translate business questions into data products: define KPIs metric logic semantic models and report templates (exec dashboards property/operator views portfolio rollups).
Define metrics & semantics: write business definitions acceptance tests and reference DAX/SQL for core KPIs (e.g. occupancy delinquency AR aging payment failures revenue recognition).
Partner with Data Engineering on modeling (star schemas SCD handling) pipeline priorities (ELT/ETL) data quality SLAs and observability.
Be hands-on with analytics: prototype DAX measures (CALCULATE/FILTER time intelligence iterators RLS) craft SQL (joins windows partitions) for validation and reconcile report vs. source discrepancies.
Model & data quality partnership: collaborate with Data Eng on star design SCD handling incremental refresh/partitioning data contracts and quality SLAs.
Ship BI experiences: standardize datasets RLS refresh cadence and a governed report catalog; drive adoption and performance (P95 load time on-time refresh).
Governance & compliance: document lineage/ownership enforce access controls/PII handling and support auditability for finance reporting.
Stakeholder leadership: run discovery with Operators CS Finance and Product; write crisp PRDs and prioritize trade-offs; track impact with usage analytics.
Drive accuracy & trust: establish metric definitions lineage and documentation; resolve discrepancies (e.g. dashboard vs. report vs. snapshot mismatches).
Improve performance & freshness: work with eng to optimize query plans partitions aggregations and incremental refresh to hit latency/freshness targets.
Measure impact: instrument adoption reliability and time-to-insight; iterate based on usage analytics and feedback.

Minimum qualifications

5 years in Product Management (Data/Analytics/BI-focused) or adjacent Analytics PM roles.
Strong DAX proficiency (time intelligence CALCULATE/ALL/ALLEXCEPT USERELATIONSHIP SUMX/iterators row-level security).
Advanced SQL across large datasets (CTEs window functions performance tuning data validation).
Practical understanding of dimensional modeling (facts/dims grain/keys SCD) semantic layers and metric governance.
Proven ability to author PRDs/acceptance criteria drive cross-functional delivery and measure product impact.
Experience with Power BI (datasets dataflows gateways incremental refresh deployment pipelines) or equivalent BI tools.

Preferred qualifications

Warehouse/pipeline tools (Snowflake/BigQuery/Redshift/Postgres dbt Airflow/Fivetran).
Observability/quality frameworks (Great Expectations/Monte Carlo) and basic Python for data checks.
Domain familiarity with payments/billing/accounting analytics (settlements chargebacks subscription metrics AR).
Observability/quality: Great Expectations Monte Carlo New Relic or similar.
Experience building report governance (catalogs metric stores lineage roles).

About the role Own the roadmap for Data Warehouse -the analytics backbone used by self-storage operators for revenue operations finance and portfolio decisions. Youll translate business questions into trustworthy metrics and BI experiences and youll be hands-on with DAX and SQL to validate logic pro...