Sr. Product Manager- Data Warehouse (Remote)

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.
Don't meet every single requirement? Here at Inspira Financial, we believe there is no "perfect" candidate and want to encourage applying even if all the requirements listed aren't met. Our goal is to build an authentic workplace by valuing diversity in our candidates. We work to ensure that our team reflects the diversity of the businesses and clients we serve. We are always looking to expand our growing team with dynamic and enthusiastic individuals. If you enjoy a collaborative, fun environment that champions career development, Inspira Financial is the place for you! We look forward to receiving your application! Check out this Inspira Financial video to learn more about our company!
Inspira Financial provides health, wealth, retirement, and benefits solutions that strengthen and simplify the health and wealth journey. With more than 7 million clients, representing over $62 billion in assets, Inspira works with thousands of employers, plan sponsors, recordkeepers, TPAs, and other institutional partners -- helping the people they care about plan, save, and invest for a brighter future. Inspira relentlessly pursues better outcomes for all with our automatic rollover services, health savings accounts, emergency savings funds, custody services, and more. Learn more at inspirafinancial.com .
We have been recognized for our remarkable growth on lists such as Crain's Fast 50 and Inc. 5000, and for our outstanding workplace culture and benefits with Built In's 2025 Best Places to Work and Gallagher's 2022 Best-In-Class Employer awards.
Job Summary & Responsibilities
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. This is a highly cross-functional role requiring strong product leadership, understanding of the business meaning of the data, deep fluency in modern data warehousing, and a robust understanding of Generative AI.
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.
• 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.
Preferred Qualifications
Education & Experience:
Minimum required:
• 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.
Additional preferred:
• 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
Skills & Abilities:
• 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.
Compensation & Benefits
$120,000- $145,000 per year