W2- Data Product Manager

 Sample Tasks:

·       Product Strategy & Vision:

o    Define the vision and roadmap for data products (e.g., data platforms, analytics tools, ML infrastructure).

o    Identify high value opportunities by investigating the data landscape, pain points, and business needs.

o    Align data product strategy with organizational priorities and long-term data architecture, in partnership with the Enterprise Architecture team and various interested parties.

o    Connect data capabilities to business outcomes and organize efforts to achieve the business outcomes.

o    Align engineering, analytics, and business teams. Uses metrics to guide prioritization and product evolution.

·       Data Product Development:

o    Lead the end-to-end lifecycle of data products: requirements, design, development, testing, launch, and iteration.

o    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.

o    Translate business logic into data transformations, metadata, and domain specific rules.  Skilled in or adept at data architecture, modeling, and pipelines.

o    Ensures data products are reliable, governed, and scalable.

·       Interested Parties Management:

o    Serve as the primary liaison between technical teams at Minnesota IT Services (MNIT) and business partners across DCYF.

o    Communicate product value, roadmap, and use cases to leadership and cross-functional teams.

o    Prioritize incoming requests and balance competing needs across teams.

·       Analytics, Insights & Measurement:

o    Define success metrics and measure product performance and adoption.

o    Ensure data products deliver actionable insights and support decision making.

o    Partner with analytics teams to design dashboards, KPIs, and reporting frameworks.

·       Governance, Compliance & Ethical Data Use:

o    Uphold data governance, privacy, and ethical AI standards.

o    Ensure compliance with regulatory and organizational data policies.

o    Advocate 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