Data Product Manager

Radiant Digital Solutions Inc; Minnesota; On-site; USD 110,000 - 140,000; Full time

Job summary

Radiant Digital Solutions Inc. seeks a Data Product Manager to lead data product initiatives and align technical outcomes with business goals. The role collaborates with data engineering, analytics, and governance teams to design pipelines, warehousing, modeling, and governance.

You will translate technical concepts for stakeholders, oversee analytics and quality controls, and drive modern data architectures and enterprise data governance across regulated environments.

Qualifications

• Manage and lead data product initiatives aligning 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 modern data architectures and platforms including internal and developer-facing products.
• Utilize analytics tools and SQL for data analysis and reporting.
• Ensure compliance with data sharing agreements, privacy, and regulatory requirements, especially in regulated environments.
• Lead modernization 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 Databricks, and familiarity with Java and Python.
• Preferred: experience with state government agencies and HIPAA/FERPA compliance.
• Preferred: ability to align diverse stakeholders to drive unified data strategy and adoption.

Responsibilities

• Lead data product initiatives to align technical capabilities with business goals.
• Partner with data engineering, analytics, and governance teams to deliver end-to-end data solutions.
• Translate technical concepts into business terms for stakeholders.
• Oversee data management activities including analytics, engineering, and quality control.
• Drive modern data architectures and platforms for internal and developer-facing products.
• Apply SQL and analytics tools to deliver reports and insights.
• Ensure compliance with data sharing, privacy, and regulatory mandates.
• Modernize legacy systems and migrate to cloud data lakes and curated datasets.
• Develop scalable internal data products like semantic layers and governed APIs.
• Establish enterprise data governance with metadata, lineage, and quality controls.
• Coordinate with stakeholders across teams to manage priorities and communications.
• Support regulatory reporting and statistical analyses in regulated sectors.
• Advise on Databricks usage; leverage Java and Python as needed.
• Highlight experience with government/regulatory compliance in relevant projects.

Skills

Stakeholder management

Data governance

Cloud data architectures

Data analytics

Regulatory compliance

Communication

Team collaboration

Prioritization

Tools

Databricks

SQL

Java

Python

dbt

Looker

Tableau

Power BI

Google Analytics

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.