Data Product Manager - St. Paul, MN

Iceberg's direct St. Paul, MN Client seeks an experienced Data Product Manager. Iceberg seeks one full-time Data Product Manager who will be responsible for supporting significant system changes to turn the Client’s data into scalable, high value products—such as curated datasets, analytics platforms, and data infrastructure.

This role will lead efforts across data engineering, data science, and business strategy that help mature data practices and teams and drive organizational efforts to shift to new data lakes and data curation platforms from current legacy main frame systems. At a high level, the resource will lead the strategy, roadmap, and execution of data efforts enabling better decision making, operational efficiency, and intelligent product experiences.

Partnering closely with data engineering, data science, analytics, and business policy and administration, the Data Product Manager will facilitate and help drive the path towards trusted, reusable, governed, and consumable data assets across the enterprise. This role requires strong analytical skills, deep understanding of data systems, and a strong aptitude in translating between technical teams and business understanding, throughout the product lifecycle.

The Product Manager will guide products through the full lifecycle—from ideation and design to development, deployment, monitoring, and deprecation. The work is expected to be done remotely or hybrid with some onsite requested as needed in St. Paul MN. The resource must be located within the borders of the United States and be available for work during regular business hours of 7:00 a.m. - 6:00 p.m. Central Time, Monday through Friday.

Project Schedule

Anticipated Project Start Date: September 2026
Anticipated End Date: August 2027

Requirements

Sample Tasks

• Product Strategy & Vision: Define the vision and roadmap for data products (e.g., data platforms, analytics tools, ML infrastructure).
• Data Product Development: Lead the end-to-end lifecycle of data products: requirements, design, development, testing, launch, and iteration.
• Interested Parties Management: Serve as the primary liaison between technical teams and business partners.
• Analytics, Insights & Measurement: Define success metrics and measure product performance and adoption.
• Governance, Compliance & Ethical Data Use: Uphold data governance, privacy, and ethical AI standards.

Qualifications

• Desired 4–7+ years of experience in Data management, data analytics, data engineering, or related fields.
• Demonstrated Product leadership skills and ability to work in ambiguity.
• Strong understanding of data systems: pipelines, warehousing, modeling, metadata, governance.
• Proficiency collaborating with data Architecture, data engineering and data science teams.
• Ability to translate complex technical concepts into business-friendly language.
• Strong communication, prioritization, and stakeholder management skills.
• Experience with analytics tools (dbt, Looker, Tableau, Power BI, Google Analytics).
• Understanding of large organizational data sharing constraints and data sharing agreements.
• Experience with SQL, data lakes, data and data pipelines / ETL.
• Significant experience with Databricks.
• Familiarity with Java and Python.
• Background in building internal platforms or developer facing products.
• Experience in implementing modern data architectures at an organization.
• Experience in a highly regulated industry performing statistical analysis and reporting.