Sr. Product Manager- Data Warehouse (Remote)

Inspira Financial•Oak Brook, IL

20h•Remote

About The Position

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.

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.

Nice To Haves

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

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.