MNIT/DCYF Data Product Manager

TechWish; Minneapolis (MN); On-site; USD 95,000 - 135,000; Full time

Job summary

TechWish is seeking a Data Product Leader to define and drive the vision for data products, including data platforms and analytics tools. You will lead cross‑functional teams across data engineering, analytics, and business units to translate complex data needs into scalable products.

You will own end‑to‑end product development, ensure data quality and governance, and partner with stakeholders to measure impact through dashboards and KPIs.

Qualifications

• 4–7 years of experience in data management, analytics, or data engineering.

Responsibilities

• Define the vision and roadmap for data products and align with organizational priorities.
• Lead the end-to-end lifecycle of data products from requirements to launch and iteration.
• Partner with data engineers and data scientists to build scalable pipelines, models, and data services with quality and governance.
• Translate business logic into data transformations, metadata, and domain-specific rules.
• Serve as the primary liaison between Minnesota IT Services (MNIT) and DCYF, communicating value and roadmap to leadership.
• Define success metrics and measure product performance and adoption; design dashboards and reporting frameworks.
• Uphold data governance, privacy, and ethical AI standards; ensure regulatory compliance.
• Provide knowledge transfer to teams and stakeholders.

Skills

Product leadership

Ambiguity tolerance

Communication

Stakeholder management

Prioritization

Cross-team collaboration

Data-driven decision making

Tools

dbt

Looker

Tableau

Power BI

Google Analytics

Databricks

Python

Java

SQL

Job description

The following document contains the samples tasks and qualifications for this MNSITE 2.0 Event.

Sample Tasks

Product Strategy & Vision

• oDefine the vision and roadmap for data products (e.g., data platforms, analytics tools, ML infrastructure).
• oIdentify high value opportunities by investigating the data landscape, pain points, and business needs.
• oAlign data product strategy with organizational priorities and long-term data architecture, in partnership with the Enterprise Architecture team and various interested parties.
• oConnect data capabilities to business outcomes and organize efforts to achieve the business outcomes.
• oAlign engineering, analytics, and business teams. Uses metrics to guide prioritization and product evolution.

Data Product Development

• oLead the end-to-end lifecycle of data products: requirements, design, development, testing, launch, and iteration.
• oPartner with data engineers and data scientists to build scalable pipelines, models, and data services. Ensure data quality, governance, lineage, and documentation standards are met.
• oTranslate business logic into data transformations, metadata, and domain specific rules. Skilled in or adept at data architecture, modeling, and pipelines.
• oEnsures data products are reliable, governed, and scalable.

Interested Parties Management

• oServe as the primary liaison between technical teams at Minnesota IT Services (MNIT) and business partners across DCYF.
• oCommunicate product value, roadmap, and use cases to leadership and cross‑functional teams.
• oPrioritize incoming requests and balance competing needs across teams.

Analytics, Insights & Measurement

• oDefine success metrics and measure product performance and adoption.
• oEnsure data products deliver actionable insights and support decision making.
• oPartner with analytics teams to design dashboards, KPIs, and reporting frameworks.

Governance, Compliance & Ethical Data Use

• oUphold data governance, privacy, and ethical AI standards.
• oEnsure compliance with regulatory and organizational data policies.
• oAdvocate for responsible data use across the human services space served by and supported through DCYF and MNIT DCYF.

Provide knowledge transfer

Desired Qualifications

• 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.
• Strong understanding of data systems: pipelines, 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.