Senior Data Product Manager

Position Title: Senior Data Product Manager

Location: St. Paul, MN

Work Arrangement: Hybrid

Mode of Interview: Video /In person

Description:

Minimum Qualifications

• 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 in 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.

Desired Qualifications:

• Experience working with state government agencies, especially in environments involving regulated data, inter‑department data sharing, and compliance-driven reporting.

• Proven ability to lead modernization of legacy systems, including migration from mainframe or siloed data environments into cloud-based data lakes and curated enterprise datasets.

• Strong background in enterprise data governance frameworks, including metadata standards, lineage, quality controls, and stewardship models supporting trusted and reusable data assets.

• Experience defining and delivering scalable internal data products such as semantic layers, shared data models, governed APIs, or developer-facing data platforms.

• Demonstrated ability to align technical and policy stakeholders across data engineering, analytics, business operations, and program leadership to drive unified data strategy and adoption.

• Familiarity with privacy, compliance, and regulated reporting requirements relevant to human services, youth programs, or public-sector data environments (e.g., HIPAA, FERPA, state-specific data protections).