Data Product Manager

Performix•Saint Paul, MN

7d•Hybrid

About The Position

Client 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.

Requirements

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 SQL, data lakes, data and data pipelines / ETL.
Significant experience with Databricks.
Familiarity with Java and Python.
Experience in implementing modern data architectures at an organization.
Experience in a highly regulated industry performing statistical analysis and reporting.

Nice To Haves

Experience with analytics tools (dbt, Looker, Tableau, Power BI, Google Analytics).
Understanding of large organizational data sharing constraints and data sharing agreements.
Background in building internal platforms or developer facing products.

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, 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.
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.
Serve as the primary liaison between technical teams at Minnesota IT Services and business partners across client’s department.
Communicate product value, roadmap, and use cases to leadership and cross-functional teams.
Prioritize incoming requests and balance competing needs across teams.
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.
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 client and its department.
Provide knowledge transfer.