Data Product Manager

Radiant Digital Solutions LLC; Minnesota; On-site; USD 90,000 - 140,000; Part time

Job summary

Radiant Digital Solutions LLC in St. Paul, MN seeks a Data Product Manager to lead data product initiatives, aligning technical and business goals across data engineering, architecture, and data science teams.

You will design data systems, manage governance, and drive modern architectures such as data lakes; proficiency with Databricks and languages like Java and Python is preferred, with experience in regulated environments.

Qualifications

• Must lead data product initiatives in regulated environments.
• Collaborate with data engineering, architecture, and data science teams.
• Translate complex technical concepts for non-technical stakeholders.

Responsibilities

• Manage and lead data product initiatives, ensuring alignment between technical and business goals.
• Collaborate with data engineering, architecture, and data science teams to design, build, and implement data systems.
• Translate complex technical concepts into business-friendly language for stakeholders.
• Oversee data management activities, including data analytics, engineering, and quality control.
• Drive modernization of legacy data systems, including migration to cloud-based data lakes.
• Define and deliver scalable internal data products such as semantic layers and governed APIs.
• Implement and support enterprise data governance frameworks.

Skills

Data strategy

Stakeholder mgmt

SQL

Cloud data

Governance

Communication

Regulated env

Analytics tools

Tools

dbt

Looker

Tableau

Power BI

Google Analytics

Databricks

Java

Python

Job description

Position: Data Product Manager Location: St. Paul, MN Duration: 12 Months

Job Summary

• Manage and lead data product initiatives, ensuring alignment between technical and business goals.
• Collaborate with data engineering, architecture, and data science teams to design, build, and implement data systems including pipelines, warehousing, modeling, and governance.
• Translate complex technical concepts into business-friendly language for stakeholders.
• Oversee data management activities, including data analytics, engineering, and quality control.
• Drive the implementation of modern data architectures and platforms, including internal and developer-facing products.
• Utilize analytics tools (e.g., dbt, Looker, Tableau, Power BI, Google Analytics) and SQL for data analysis and reporting.
• Ensure compliance with data sharing agreements, privacy, and regulatory requirements, especially in highly regulated and public-sector environments.
• Lead modernization efforts of legacy data systems, including migration to cloud-based data lakes and curated enterprise datasets.
• Define and deliver scalable internal data products such as semantic layers, governed APIs, and shared data models.
• Implement and support enterprise data governance frameworks, including metadata standards, data lineage, quality controls, and stewardship models.
• Manage stakeholder relationships, prioritization, and communication across technical and policy teams.
• Support statistical analysis and compliance-driven reporting in regulated industries.
• Leverage significant experience with Databricks, and familiarity with Java and Python.
• (Preferred) Experience working with state government agencies and understanding compliance frameworks (e.g., HIPAA, FERPA).
• (Preferred) Proven ability to align diverse stakeholders to drive unified data strategy and adoption.