Data Product Manager

Integres, LLC • Saint Paul, MN

2d • Hybrid

About The Position

We are seeking for Minnesota Department of Information Technology Services (MNIT), in partnership with the Department of Children, Youth, and Families (DCYF), an experienced Data Product Manager to lead the strategy, roadmap, and execution of data products and data initiatives supporting DCYF's Whole Family approach. The Data Product Manager will help transform organizational data into scalable, trusted, governed, reusable, and high-value data products, including curated datasets, analytics platforms, data pipelines, and data infrastructure. This role will work at the intersection of data engineering, data science, analytics, enterprise architecture, and business strategy. The successful candidate will translate business needs into actionable data product requirements while helping DCYF transition from legacy mainframe systems toward modern data lakes and data curation platforms. The Product Manager will guide data products through the complete lifecycle—from ideation and requirements through design, development, testing, deployment, monitoring, iteration, and eventual deprecation.

Requirements

• 4–7 years of experience in data management, data analytics, data engineering, product management, or a related field.
• Demonstrated product leadership experience and the ability to work effectively in ambiguous environments.
• Strong understanding of: Data pipelines, Data warehousing, Data modeling, Metadata, Data governance, Data lakes, ETL/data integration
• Experience collaborating with Data Architecture, Data Engineering, and Data Science teams.
• Strong ability to translate complex technical concepts into business-friendly language.
• Excellent communication, prioritization, stakeholder management, and cross-functional collaboration skills.
• Experience with analytics and data tools such as dbt, Looker, Tableau, Power BI, or Google Analytics.
• Understanding of organizational data-sharing constraints and data-sharing agreements.
• Strong experience with SQL.
• Experience working with data lakes and data pipelines/ETL.
• Significant experience with Databricks.
• Familiarity with Python and Java.
• Experience building internal platforms or developer-facing products.
• Experience implementing modern data architectures within an organization.
• Experience working in a highly regulated industry, including statistical analysis and reporting.

Responsibilities

• Define the vision, strategy, and roadmap for data products, including data platforms, analytics tools, and ML infrastructure.
• Identify high-value data opportunities by evaluating the existing data landscape, business needs, and organizational pain points.
• Align data product strategy with organizational priorities and long-term data architecture in partnership with Enterprise Architecture and key stakeholders.
• Connect data capabilities and investments to measurable business outcomes.
• Align data engineering, analytics, data science, and business teams around common priorities.
• Use data, metrics, and business outcomes to guide product prioritization and ongoing product evolution.
• Lead the end-to-end lifecycle of data products, including requirements gathering, design, development, testing, launch, monitoring, and iteration.
• Partner with data engineers and data scientists to develop scalable data pipelines, models, and data services.
• Ensure data products meet standards for data quality, governance, lineage, reliability, scalability, and documentation.
• Translate business logic and requirements into data transformations, metadata, and domain-specific rules.
• Apply a strong understanding of data architecture, data modeling, data pipelines, and ETL processes.
• Help ensure data products are reliable, scalable, reusable, and governed.
• Serve as the primary liaison between technical teams at MNIT and business partners across DCYF.
• Communicate product vision, value, roadmap, priorities, and use cases to leadership and cross-functional teams.
• Gather and prioritize incoming requests while balancing competing business and technical needs.
• Facilitate collaboration among data architecture, data engineering, data science, analytics, policy, and administration teams.
• Translate complex technical concepts into clear, business-friendly language.
• Define product success metrics and measure product performance, adoption, and business value.
• Ensure data products provide actionable insights and support effective decision-making.
• Partner with analytics teams to develop dashboards, KPIs, reporting frameworks, and measurement strategies.
• Use product and data insights to continuously improve data products and user experiences.
• Support data governance, privacy, compliance, and ethical data-use practices.
• Ensure data products comply with applicable organizational and regulatory data policies.
• Promote responsible and ethical use of data within the human services environment supported by DCYF and MNIT.
• Consider data-sharing constraints, data-sharing agreements, governance requirements, lineage, and documentation throughout the product lifecycle.
• Provide knowledge transfer to relevant MNIT/DCYF teams.
• Document product requirements, processes, data-related decisions, and relevant technical/business knowledge.
• Help mature organizational data practices and capabilities.

Benefits

• medical, dental, vision, short and long-term disability protection, basic life and AD&D insurance
• 401(k) Savings Plan
• Accrued Paid Time Off (PTO)
• Employee Recognition and Rewards
• Employee Referral Bonuses

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed