Data Product Manager

• IT IS 100 % On site position
  

DESCRIPTION OF PROJECT:

ROLE & RESPONSIBILITIES

• Product Strategy & Vision:
  

• 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
  

DESIRED QUALIFICATIONS:

• A bachelors degree in computer science Data Science Information Systems Business Analytics Statistics or a related quantitative field
  
• Desired 47 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.
  

• 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.
  
• Visualization: Tableau Power BI Looker Metabase.