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Product Manager Data Analytics Jobs in Minnesota

Proven experience leading teams of product owners, analysts, or engineers; demonstrated ability to manage a cross-domain data product portfolio through its full lifecycle including retirement ...

Proven experience leading teams of product owners, analysts, or engineers; demonstrated ability to manage a cross-domain data product portfolio through its full lifecycle including retirement ...

As the leader of our Data and Analytics team, you will guide a talented group of analysts and ... Project Management or Agile certification (Scrum Master, Product Owner, etc.) At Coloplast, we ...

Experience managing data products, analytics products, business intelligence solutions, or enterprise data initiatives. * Strong understanding of data warehousing, data engineering, data modeling ...

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Product Manager Data Analytics information

What is a product manager data analytics?

A Product Manager Data Analytics is a professional responsible for overseeing the development, strategy, and success of data analytics products or features within an organization. They work at the intersection of business, technology, and data, collaborating with data scientists, engineers, and stakeholders to define product vision, prioritize features, and ensure analytics solutions meet user and business needs. Their role involves understanding market trends, user requirements, and translating complex data insights into actionable product enhancements. Ultimately, they drive the product lifecycle to deliver value through data-driven decision making.

How does a product manager data analytics typically collaborate with data scientists and engineers on a project?

As a Product Manager in Data Analytics, you serve as the bridge between business stakeholders and technical teams. You'll work closely with data scientists to define project objectives, ensure that analytical models align with business needs, and prioritize features based on user impact. Collaboration with data engineers is essential for understanding data infrastructure requirements and ensuring reliable data pipelines. Regular communication, sprint planning, and joint problem-solving sessions are core to fostering alignment and delivering successful analytics solutions.

What are the key skills and qualifications needed to thrive as a product manager data analytics, and why are they important?

To thrive as a Product Manager in Data Analytics, you need a strong background in data analysis, product lifecycle management, and business strategy, often supported by a degree in business, computer science, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), SQL, and experience with analytics platforms are typically required, and certifications such as Certified Scrum Product Owner (CSPO) can be advantageous. Exceptional communication, problem-solving, and stakeholder management skills help you bridge technical teams and business objectives. These abilities are crucial for delivering data-driven products that meet user needs and provide measurable business value.

What is the difference between Product Manager Data Analytics vs Data Analyst?

AspectProduct Manager Data AnalyticsData Analyst
Primary FocusOverseeing data-driven product strategies and roadmapsAnalyzing data to generate reports and insights
Skills & CertificationsProduct management, data analytics, SQL, communicationData analysis, SQL, Excel, visualization tools
Work EnvironmentCross-functional teams, product development cyclesData teams, business units, reporting environments
Industry UsageTech, e-commerce, SaaS companiesFinance, marketing, healthcare, tech

Product Manager Data Analytics focuses on guiding product strategies using data insights, while Data Analysts primarily analyze data to produce reports. Both roles require analytical skills and familiarity with data tools, but their responsibilities and scope differ significantly.

Do product managers do data analysis?

Product managers often perform data analysis to inform product decisions, track performance metrics, and understand user behavior. They use tools like SQL, Excel, or analytics platforms to interpret data and prioritize features, but they typically collaborate with data analysts or data scientists for complex analysis. Strong analytical skills are valuable in this role to support data-driven decision-making.

What are popular job titles related to Product Manager Data Analytics jobs in Minnesota?

For Product Manager Data Analytics jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Product Manager Data Analytics jobs in Minnesota look for?

The top searched job categories for Product Manager Data Analytics jobs in Minnesota are:

What cities in Minnesota are hiring for Product Manager Data Analytics jobs?

Cities in Minnesota with the most Product Manager Data Analytics job openings:

Infographic showing various Product Manager Data Analytics job openings in Minnesota as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

Product Manager, Data-Enterprise

3M

Maplewood, MN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 8 days ago


3M rating

7.8

Company rating: 7.8 out of 10

Based on 249 frontline employees who took The Breakroom Quiz

170th of 545 rated manufacturers


Job description

Job Description:

Product Manager, Data-Enterprise

Collaborate with Innovative 3Mers Around the World

Choosing where to start and grow your career has a major impact on your professional and personal life, so it's equally important you know that the company you choose to work at, and its leaders, will support and guide you. With a variety of people, global locations, technologies, and products, 3M is a place where you can collaborate with other curious, creative 3Mers.

This position provides an opportunity to transition from other private, public, government, or military experience to a 3M career

This role requires a strategic thinker with deep understanding of enterprise data product management, the regulatory and compliance demands of Finance, HR, IT and Legal functions, and a systems-level view of data architecture. The ideal candidate will act as the strategic bridge between enterprise business functions, data engineering and AI enablement - shaping a globally scalable portfolio of data products measured through Outcome-Driven Metrics and aligned with enterprise governance, FinOps and AI risk frameworks.

Key Responsibilities:

Strategic Leadership

  • Define the vision and strategic roadmap for Enterprise domain data products (Finance, HR, IT, Legal) in alignment with enterprise data strategy, platform capabilities and business value streams.
  • Establish consistent standards for data product management across enterprise domains, including data contracts, backlog prioritization and Outcome-Driven Metrics for value measurement.
  • Identify opportunities for technology-driven improvements and innovations within Finance, HR, IT operations and Legal functions - including AI/ML-ready data products and self-service analytics.
  • Partner with Data Engineering and Platform teams to ensure data products are scalable, secure, interoperable across domains, and discoverable through the enterprise data marketplace.
  • Translate enterprise priorities into clear, actionable domain product roadmaps that balance innovation, compliance, and technical sustainability - with particular attention to cross-domain dependencies and shared data assets.

Portfolio & Delivery Management

  • Oversee the enterprise data product portfolio: lifecycle management (creation, updates, maintenance, retirement), investment planning and roadmap execution for cross-domain and shared data assets.
  • Prioritize across domains based on business value, readiness, and capacity - using intake, ITOC and BRM processes; apply Outcome-Driven Metrics and cost attribution to guide strategic investment decisions.
  • Ensure product roadmaps integrate with the broader Data Platform architecture (Bronze/Silver/Gold, Iceberg/S3, Glue, Lake Formation, Snowflake, Power BI) and support modularity, interoperability and reuse.
  • Define and track KPIs: adoption rate, data product usage, cost-to-serve, cycle time, ROI metrics and data contract compliance; apply FinOps principles for transparency across the enterprise portfolio.
  • Drive cross-domain collaboration and dependency management to maximize reuse, avoid duplication, and enable data products that serve multiple business units simultaneously.

Governance & Enablement

  • Embed governance, AI risk reviews, and data contract enforcement into the data product lifecycle - ensuring every product is certified for reuse through formal contracts with defined SLAs, quality expectations and usage rights.
  • Ensure adherence to data quality, metadata, lineage, and FinOps standards - with particular focus on sensitivity of HR and Legal data; implement data product observability for pipeline health monitoring.
  • Partner with Security, Risk and Compliance teams to ensure all products meet global regulatory requirements; design and maintain federated governance models balancing central policy with domain autonomy.
  • Advocate for product reusability, domain ownership, self-service enablement, and data product discoverability; collaborate with platform team to deliver self-service tools for domain teams.

Stakeholder Engagement

  • Build strong relationships with enterprise domain leaders across Finance, HR, IT and Legal functions and their respective IT counterparts - aligning priorities, co-defining data product requirements and validating ODMs.
  • Represent the enterprise data products portfolio at executive steering committees and enterprise planning sessions;
  • Communicate the business impact of data investments in measurable terms - connecting analytics outcomes to operational and financial KPIs; build business cases for data product investments.
  • Serve as an evangelist for data as a product - driving awareness, adoption, and data literacy across enterprise functions; lead change management initiatives for operating model transformation.

Your Skills and Expertise:

To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications:

  • Bachelor's in Business Administration, Finance, Information Technology, Human Resources or Data Science (completed and verified prior to start)
  • Eight (8) years of experience in data product management, data strategy, or analytics leadership, with a focus on data-driven solutions for Finance, HR, IT, and/or Legal operations in a private, public, government or military environment

Additional qualifications that could help you succeed even further in this role include:

  • Proven experience leading teams of product owners, analysts, or engineers; demonstrated ability to manage a cross-domain data product portfolio through its full lifecycle including retirement decisions.
  • Deep understanding of data product management principles, domain ownership, data mesh concepts, data contracts, value stream mapping, and Outcome-Driven Metrics for measuring enterprise-wide business value.
  • Strong grasp of modern cloud data platforms and toolsets (AWS, Snowflake, Databricks, Glue, Lake Formation, Power BI, dbt) and DataOps/CI/CD practices for scalable delivery.
  • Familiarity with FinOps, AI Risk, Data Governance frameworks, and federated governance models; experience designing governance that balances central policy with domain autonomy.
  • Demonstrated ability to translate business strategies into technical data solutions and measurable value delivery; experience with cost attribution, FinOps, and total cost of ownership analysis.
  • Skilled communicator able to influence senior business and technical leaders in a matrixed global organization; proficiency in value storytelling, C-level presentations, and building business cases.
  • Experience in agile methodologies (Scrum, Kanban, SAFe) with hands-on product delivery oversight; familiarity with data marketplace, data catalog tools, and self-service enablement patterns.
  • Strong problem-solving skills and the ability to think strategically and analytically; experience with change management, operating model transformation, and driving data literacy programs.

Work location: Maplewood, MN

Relocation Assistance: Yes

Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status).

Supporting Your Well-being

3M offers many programs to help you live your best life - both physically and financially. To ensure competitive pay and benefits, 3M regularly benchmarks with other companies that are comparable in size and scope.

Chat with Max

For assistance with searching through our current job openings or for more information about all things 3M, visit Max, our virtual recruiting assistant on 3M.com/careers.

Applicable to US Applicants Only:The expected compensation range for this position is $188,251 - $230,084, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate's relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.). Additional information is available at: https://www.3m.com/3M/en_US/careers-us/working-at-3m/benefits/.All US-based 3M full time employees will need to sign an employee agreement as a condition of employment with 3M. This agreement lays out key terms on using 3M Confidential Information and Trade Secrets. It also has provisions discussing conflicts of interest and how inventions are assigned. Employees that are Job Grade 7 or equivalent and above may also have obligations to not compete against 3M or solicit its employees or customers, both during their employment, and for a period after they leave 3M.Learn more about 3M's creative solutions to the world's problems at www.3M.com or on Instagram, Facebook, and LinkedIn @3M.Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties.Safety is a core value at 3M. All employees are expected to contribute to a strong Environmental Health and Safety (EHS) culture by following safety policies, identifying hazards, and engaging in continuous improvement.Pay & Benefits Overview: https://www.3m.com/3M/en_US/careers-us/working-at-3m/benefits/3M does not discriminate in hiring or employment on the basis of race, color, sex, national origin, religion, age, disability, veteran status, or any other characteristic protected by applicable law.

Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.

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