Sr. Product Manager- Data Warehouse; Remote
Oak Brook, DuPage County, Illinois, 60523, USA
Listed on 2026-04-23
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IT/Tech
Data Analyst, Data Engineer, Business Systems/ Tech Analyst
Join Us! Take the next step in your journey at Inspira Financial. You will help businesses and individuals thrive today, tomorrow, and into retirement. Become part of a company that is people‑centric and client‑obsessed in every interaction; a community of forward‑thinking individuals focused on driving results to deliver our mission with an unwavering commitment to integrity. Join us as we strengthen and simplify the health and wealth journey—relentlessly pursuing better outcomes for all.
We believe in finding the best talent! While some roles are based at one of our office locations, remote roles can sit in any of the following states: AL, AZ, FL, GA, IA, IL, IN, MI, MN, MO, NC, NE, PA, SC, TN, TX, UT, VA and WV. Remote status and role locations are subject to change. Relocation is not provided.
Employees within a 90‑minute radius of our Oak Brook, IL headquarters are required to adhere to the company in‑office work guidelines of 4 days per month minimum from 10 am to 2 pm (1 of the 4 days must be a Monday or Friday). This requirement does not apply to support specialist positions. We encourage candidates who do not meet every single requirement to apply;
diversity is valued and we aim to create an authentic workplace.
The Sr. Product Manager, Data Warehouse will report to the Sr. Director, Data Science & Analytics in the Data Science & Analytics organization. This role will lead the product strategy and execution for our enterprise data warehouse capabilities on Snowflake—enabling trusted, governed, and performant analytics data for business intelligence, reporting, self‑service exploration, and AI/ML applications. You will be a trusted partner to data engineering, architecture, security, governance, and business stakeholders to deliver measurable value through improved data quality, usability, reliability, and time‑to‑insight.
You will own the product vision and roadmap for core warehouse capabilities in Snowflake, including data modeling (dimensional/data vault where appropriate), semantic and metrics layers, Generative AI features, workload performance and SLAs, governed data access, lineage and observability, and enablement for BI and analytics tooling.
Duties & 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.
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