Sr. Product Manager- Data Warehouse (Remote)

Inspira Financial is a company focused on helping businesses and individuals thrive through health and wealth solutions. The Sr. Product Manager for Data Warehouse will lead the product strategy and execution for enterprise data warehouse capabilities on Snowflake, ensuring trusted analytics for business intelligence and decision-making.

Responsibilities:

• Own the product vision and roadmap for the enterprise data warehouse on Snowflake to enable trusted analytics at scale
• Partner with business stakeholders, analytics, and data engineering to translate reporting and decisioning needs into clear product requirements, data contracts, and prioritized warehouse initiatives
• Develop and execute product roadmaps with measurable outcomes (OKRs/KPIs) such as time-to-data, query performance, data quality, adoption, and cost efficiency
• Define the warehouse product strategy across ingestion, transformation, modeling, serving, and consumption layers; balance short-term delivery with long-term architecture and platform evolution
• Partner with Data Science and Data Engineering to develop and execute on a roadmap for applications that use Snowflake’s Generative AI features
• Collaborate with Architecture, Security, Privacy, and Data Governance to ensure the warehouse meets governance, access control, retention, audit, and compliance requirements
• Establish and communicate warehouse SLAs/SLOs (freshness, availability, performance) and lead incident review/continuous improvement with engineering partners
• Drive a 1–3 year capability roadmap (e.g., semantic layer/metrics store, self-service data products, workload isolation, data observability, catalog/lineage) and deliver iteratively
• Prioritize features and investments using customer feedback, analytics usage telemetry, technical feasibility, risk, and business impact
• Develop business cases for data warehouse initiatives (value, risk reduction, productivity, scalability) and track outcomes against OKRs and KPIs
• Define and maintain product and platform dashboards (adoption, performance, freshness, quality, cost) and provide regular updates to stakeholders
• Provide guidance and mentorship to product managers and analysts; set standards for warehouse product discovery, delivery, and stakeholder communication
• Identify opportunities to improve scalability, reliability, latency, and cost efficiency of Snowflake workloads through workload management (virtual warehouses, resource monitoring), query optimization, and FinOps practices
• Partner with engineering to deliver robust warehouse capabilities (modeling patterns, semantic layer, query optimization, data observability, CI/CD for data, and environment management)
• Operate effectively with minimal direction; navigate ambiguity and shifting priorities while maintaining clear delivery plans and stakeholder alignment
• Other duties as assigned

Requirements:

• 7+ years of experience in product management required with significant ownership of platform, infrastructure, or data products
• Bachelors Degree in Computer Science, Mathematics, Statistics, Engineering or equivalent combination of education, experience and training required
• Strong understanding of data warehouse concepts: dimensional modeling, semantic/metric layers, ETL (Informatica, Talend, Matillion), orchestration, data quality, lineage, and workload performance
• Product management experience with Generative AI applications and a robust understanding of prompt engineering, text-to-SQL, RAG, evaluation, and observability
• Experience partnering with data engineering and analytics teams to deliver Snowflake-based warehouse platforms and curated data products
• Understanding of modern platform and technology solutions
• Excellent analytical skills with a strong bias towards action and a proactive nature
• Demonstrated ability to read schemas, define data contracts, and perform technical user acceptance testing
• Strong SQL skills
• Demonstrated experience with change data capture (Fivetran, Qlik Replicate, Debezium)
• Demonstrated experience in Agile and experience with Agile tools (Azure DevOps, Jira)
• Strong organizational skills with a drive to meet deadlines
• Proven leadership skills to gain credibility, garner respect, and guide the creation of self-organizing teams
• An affinity for accuracy and efficiency
• Fluency with analytics/BI and data ecosystem concepts (e.g., BI semantic models, data catalogs, orchestration, observability); tool-specific experience is a plus
• Strong verbal and written communication skills
• An aptitude for data-driven prioritization and multi-tasking
• Seeks to understand the data that can drive business outcomes
• Strong collaboration and communication skills. Able to cultivate relationships with clients, partners, and other departments to facilitate collaboration and achieve common goals
• A drive to learn and apply new concepts quickly
• 5 years of experience in Snowflake preferred
• Experience with relational data sources (SQL Server), non relational (Mongo DB), structured and unstructured data sources
• Masters Degree in Computer Science, Mathematics, Statistics, Engineering preferred
• Certified Product Management credentials preferred