Sr. Product Manager- Data Warehouse (Remote)
Oak Brook, IL, United States
R
USD 195K-250K (estimate) Senior-level Full Time
Tasks
- Collaborate with architecture security privacy and data governance for access control retention audit and compliance
- Define warehouse product strategy across ingestion transformation modeling serving consumption
- Deliver capability roadmap for semantic layer metrics store and data observability
- Deliver warehouse capabilities including modeling patterns semantic layer query optimization and data observability
- Develop and execute roadmap for Generative AI applications using Snowflake
- Develop business cases and track outcomes against OKRs and KPIs
- Develop roadmaps with measurable outcomes using OKRs and KPIs
- Establish and manage SLAs and SLOs and lead incident reviews
- Guide and mentor product managers and analysts
- Improve scalability reliability latency and cost using workload management query optimization and FinOps
- Maintain dashboards for adoption performance freshness quality and cost
- Own product vision and roadmap for enterprise data warehouse
- Prioritize features using customer feedback analytics telemetry feasibility risk and business impact
- Support CI CD for data and environment management
- Translate reporting needs into product requirements and data contracts
Perks/Benefits
Skills/Tech-stack
Agile | Azure DevOps | BI | Change Data Capture | Data Capture | Data Catalog | Data Lineage | Data Quality | Data Vault | Debezium | Dimensional Modeling | ETL | Evaluation | FinOps | Fivetran | Incident Management | Informatica | Jira | Matillion | Metrics layer | Observability | Orchestration | Prompt engineering | Qlik Replicate | Query Optimization | RAG | SLAs | SLOs | SQL | Semantic layer | Snowflake | Talend | Text-to-SQL | Virtual Warehouses | Workload management
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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