A St. Paul, MN client seeks an experienced Data Product Manager for a 12-month contract position. You will lead strategy, roadmap, and execution of data initiatives to support significant system changes, enabling the organization to transform legacy mainframe systems into scalable, high-value data products-including curated datasets, analytics platforms, and modern data infrastructure. This role reports to business and technical leadership and requires strong analytical skills, deep understanding of data systems, and the ability to translate between technical teams and business stakeholders throughout the product lifecycle. The position is remote or hybrid with occasional onsite work in St. Paul, MN as needed. The anticipated start date is September 2026, with an end date of August 2027.
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 key 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 that meet data quality, governance, lineage, and documentation standards.
- Translate business logic into data transformations, metadata, and domain-specific rules.
- Ensure data products are reliable, governed, and scalable.
- Serve as the primary liaison between technical teams and business partners, communicating product value, roadmap, and use cases.
- Prioritize incoming requests and balance competing needs across teams.
- Define success metrics and measure product performance and adoption.
- Partner with analytics teams to design dashboards, KPIs, and reporting frameworks.
- Uphold data governance, privacy, and ethical AI standards across the organization.
- Ensure compliance with regulatory and organizational data policies.
- Advocate for responsible data use within the human services space served by the client.
- Provide knowledge transfer to support organizational capability building.
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 effectively 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, data pipelines, and ETL processes.
- Preferred
- Experience with analytics tools such as dbt, Looker, Tableau, Power BI, or Google Analytics.
- Understanding of large organizational data sharing constraints and data sharing agreements.
- Significant experience with Databricks.
- Familiarity with Java and Python.
- Background in building internal platforms or developer-facing products.
- Experience implementing modern data architectures within an organization.
- Experience in a highly regulated industry performing statistical analysis and reporting.