Data Product Manager

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

Permanent W-2 Employee / Corp2Corp Contractor | Omm IT Solutions | United States

Posted On 09/02/2026

Job Information

Start Date 09/04/2026 12:00 AM

Compensation Negotiable

IT Services

Work Authorization Authorized to work in USA

Job Opening ID Omm3004J

State/Province Minnesota

City Saint Paul

55155

Job Description

PLEASE NOTE:

DESCRIPTION OF PROJECT:

The Client ("MNIT") partnering with the Department of Children, Youth, and Families ("DCYF") (collectively "State") is seeking one full-time Data Product Manager who will be responsible for supporting significant system changes to turn the organization’s data into scalable, high value products—such as curated datasets, analytics platforms, and data infrastructure- supporting the Whole Family approach. This role will lead efforts across data engineering, data science, and business strategy that help mature data practices and teams and drive organizational efforts to shift to new data lakes and data curation platforms from current legacy main frame systems.

At a high level, the resource will lead the strategy, roadmap, and execution of data efforts within the Department of Children, Youth, and Families (DCYF), enabling better decision making, operational efficiency, and intelligent product experiences. Partnering closely with data engineering, data science, analytics, and business policy and administration, the Data Product Manager will facilitate and help drive the path towards trusted, reusable, governed, and consumable data assets across the enterprise. This role requires strong analytical skills, deep understanding of data systems, and a strong aptitude in translating between technical teams and business understanding, throughout the product lifecycle. Product Managers at DCYF guide products through the full lifecycle—from ideation and design to development, deployment, monitoring, and deprecation.

ROLE & RESPONSIBILITIES

Data Product Manager focus on data architecture, pipeline scalability, data quality, and analytical utility

• 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, pain points, and business needs.
  
• Align data product strategy with organizational priorities and long-term data architecture, in partnership with the Enterprise Architecture team and various interested parties.
  
• Connect data capabilities to business outcomes and organize efforts to achieve the business outcomes.
  
• Align engineering, analytics, and business teams. Uses metrics to guide prioritization and product evolution.
  
• Data Product Development:
  
• 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. Ensure data quality, governance, lineage, and documentation standards are met.
  
• Translate business logic into data transformations, metadata, and domain specific rules. Skilled in or adept at data architecture, modeling, and pipelines.
  
• Ensures data products are reliable, governed, and scalable .
  
• Interested Parties Management:
  
• Serve as the primary liaison between technical teams at Minnesota IT Services (MNIT) and business partners across DCYF.
  
• Communicate product value, roadmap, and use cases to leadership and cross-functional teams.
  
• Prioritize incoming requests and balance competing needs across teams.
  
• Analytics, Insights & Measurement:
  
• Define success metrics and measure product performance and adoption.
  
• Ensure data products deliver actionable insights and support decision making.
  
• Partner with analytics teams to design dashboards, KPIs, and reporting frameworks.
  
• Governance, Compliance & Ethical Data Use:
  
• Uphold data governance, privacy, and ethical AI standards.
  
• Ensure compliance with regulatory and organizational data policies.
  
• Advocate for responsible data use across the human services space served by and supported through DCYF and MNIT DCYF.
• Provide knowledge transfer

Requirements

DESIRED QUALIFICATIONS:

• A bachelor’s degree in computer science, Data Science, Information Systems, Business Analytics, Statistics, or a related quantitative field
  
• Desired 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.
  
• Experience with data modeling, building data pipelines, creating dashboards, or deploying machine learning/AI models into production, warehousing, modeling, metadata, 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 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.
  

Hands on experience

• SQL (Mandatory): Essential for querying databases, inspecting data quality, and validating models.
  
• Python: Widely used for data manipulation, exploratory data analysis (pandas/NumPy), and scripting.

Education/Work Experience

A bachelor’s degree in computer science, Data Science, Information Systems, Business Analytics, Statistics, or a related quantitative field

Desired 4–7 years of experience in Data management, data analytics, data engineering, or related fields.