Product Manager (Data Science)

Position Overview:
You will serve as a Product Manager for Data Science advancing enterprise Data & Analytics capabilities by delivering scalable high-quality data products. Positioned within a centralized IT function you will manage cross-domain data products and platforms that support analytics and decision-making across Customer Marketing Supply Chain and Finance. You will define product vision prioritize investments and lead delivery across the full data lifecycle to ensure data is accessible trusted and aligned to business outcomes. Working in a highly cross-functional model you will partner with engineering architecture and business stakeholders while guiding execution through a distributed development team. This role offers the opportunity to drive enterprise-wide data impact and influence how data enables strategic decision-making at scale.

Key Responsibilities:

• Define and execute the product vision strategy and roadmap for enterprise data platforms and cross-domain data products.
• Manage and provide direction to an offshore development team of approximately 12 contractors ensuring alignment to priorities quality standards and timelines.
• Prioritize investments across stakeholders using a structured value-driven framework aligned to business goals and Data & Analytics KPIs.
• Own the end-to-end lifecycle of data products including data ingestion transformation modeling and consumption.
• Ensure delivery of high-quality scalable and reusable datasets and semantic models.
• Establish and manage SLAs for data availability freshness quality and reliability.
• Partner with business leaders and technical teams to translate business needs into product requirements and measurable outcomes.
• Balance competing priorities across domains while maintaining focus on enterprise-wide value.
• Lead product delivery in partnership with data engineering teams ensuring iterative and timely value delivery.
• Maintain and prioritize the product backlog defining clear requirements and guiding trade-offs across scope timeline and technical complexity.
• Collaborate with engineering architecture and governance teams to support data quality metadata consistency security and compliance.
• Contribute to the evolution and scalability of the enterprise data platform including storage and integration patterns.

Desired Competencies:

• Business Acumen: You understand how your work impacts financial performance operational efficiency and organizational goals and you make decisions with the broader business context in mind.
• Collaboration: You work effectively with others across functions and levels contributing to shared goals while respecting different perspectives.
• Data & Analytical Literacy: You interpret data metrics or reporting to inform decisions identify trends and measure outcomes relevant to your role.

Qualifications:

• Bachelors degree in Business Analytics Data Science or related field.
• Minimum of 10 years of progressive experience in data & analytics.
• Minimum of 5 years of product management experience delivering digital or data-focused products.
• Strong understanding of data ecosystems including data warehousing data modeling and analytics platforms.
• Experience working with SAP data highly preferred including understanding data structures and supporting downstream analytics use cases.
• Demonstrated success owning product roadmaps and delivering measurable business outcomes.
• Experience leading cross-functional teams and working with distributed or offshore development resources.
• Proficiency with product management tools such as JIRA or Azure DevOps.
• Working knowledge of SQL and ability to engage hands-on with data.
• Experience with modern data platforms such as Snowflake (preferred) Microsoft Fabric Azure Synapse or Databricks.
• Ability to work in a remote or hybrid model while being commutable to Medina MN for quarterly meetings.
• This position is not eligible for sponsorship.

The starting pay range for Minnesota is $140000 to $160000 per year. Individual salaries and positioning within the range are determined through a wide variety of factors including but not limited to education experience knowledge skills and geography. While individual pay could fall anywhere within the range based on these factors it is uncommon to start at the high end or the top of the range.

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