Data Product Manager — Scalable Analytics Platform

Omm IT Solutions; Saint Paul (MN); On-site; USD 90,000 - 150,000; Full time

Job summary

Omm IT Solutions is seeking a Data Product Manager in Minnesota to lead data platform initiatives, analytics tooling, and data governance across DCYF/MNIT. You will drive the strategy, roadmap, and execution for trusted data assets, partnering across data engineering, science, and policy teams.

The role emphasizes translating technical concepts to business stakeholders, defining success metrics, and delivering scalable data solutions to support state-wide programs.

Qualifications

• Bachelor’s degree in a quantitative field.

Responsibilities

• Define the vision and roadmap for data products (e.g., data platforms, analytics tools, ML infrastructure).
• Identify high value opportunities by investigating the data landscape and business needs.
• Align data product strategy with organizational priorities and long-term data architecture.
• Lead the end-to-end lifecycle of data products: requirements, design, development, testing, launch.
• Partner with data engineers and scientists to build scalable pipelines and data services.
• Ensure data quality, governance, lineage, and documentation standards are met.
• Translate business logic into data transformations, metadata, and domain rules.
• Communicate product value and roadmap to leadership and cross-functional teams.

Skills

Data product leadership

Ambiguity management

Stakeholder communication

Business-to-technical translation

Education

Bachelor's degree in Computer Science / Data Science / Information Systems / Statistics

Tools

dbt

Looker

Tableau

Power BI

Google Analytics

Databricks

SQL

Python

Job description

Omm IT Solutions is seeking a Data Product Manager in Minnesota to lead data platform initiatives, analytics tooling, and data governance across DCYF/MNIT. You will drive the strategy, roadmap, and execution for trusted data assets, partnering across data engineering, science, and policy teams.

The role emphasizes translating technical concepts to business stakeholders, defining success metrics, and delivering scalable data solutions to support state-wide programs.