We are hiring a Data Product Manager for a 6-month contract position based in St Paul, Minnesota. In this role, you will lead the strategy, roadmap, and execution of significant data product initiatives designed to transform legacy systems into scalable, high-value assets. You will partner across data engineering, data science, analytics, and business teams to mature data practices, migrate to modern data platforms, and enable better decision-making and operational efficiency across the enterprise.
Responsibilities
Define vision and roadmap for data products, including data platforms, analytics tools, and ML infrastructure.
Identify high-value opportunities by investigating the data landscape, pain points, and business needs.
Align data product strategy with organizational priorities and long-term data architecture in partnership with Enterprise Architecture and stakeholders.
Connect data capabilities to business outcomes and organize efforts to achieve measurable results.
Lead the end-to-end lifecycle of data products: requirements, design, development, testing, launch, and iteration.
Partner with data engineers and data scientists to build scalable pipelines, models, and data services while ensuring data quality, governance, lineage, and documentation standards.
Translate business logic into data transformations, metadata, and domain-specific rules.
Serve as the primary liaison between technical teams and business partners, communicating product value, roadmap, and use cases to leadership and cross-functional teams.
Show the full description
Prioritize incoming requests and balance competing needs across teams.
Define success metrics and measure product performance and adoption.
Ensure data products deliver actionable insights and support decision-making across the organization.
Partner with analytics teams to design dashboards, KPIs, and reporting frameworks.
Uphold data governance, privacy, and ethical AI standards; ensure compliance with regulatory and organizational data policies.
Advocate for responsible data use.
Provide knowledge transfer to support organizational continuity.
Qualifications
Required
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 including pipelines, warehousing, modeling, metadata, and 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 SQL, data lakes, and data pipelines/ETL.
Understanding of large organizational data sharing constraints and data sharing agreements.
Preferred
Experience with analytics tools such as dbt, Looker, Tableau, Power BI, or Google Analytics.
Significant experience with Databricks.
Familiarity with Java and Python.
Background in building internal platforms or developer-facing products.
Experience implementing modern data architectures at an organization.
Experience in a highly regulated industry performing statistical analysis and reporting.
