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Flexible Data Product Manager Jobs (NOW HIRING)

Data Product Manager Job Code: MNSITE-3838 Client: Minnesota IT Services (MNIT) / Department of Children, Youth, and Families (DCYF) Location: St. Paul, MN - Remote or Hybrid Duration: Until August ...

Merchandise Data Product Manager , location is Remote . The start date is ASAP for this 6-month contract position. Job Title: Merchandise Data Product Manager Location-Type: Remote (Preference for ...

Data Product Manager Location: Saint Paul, MN (Hybrid) Duration: 12 Months Description of Project The Minnesota Department of Information Technology Services ("MNIT") partnering with the Department ...

Data Product Manager

Saint Paul, MN · On-site

$100 - $167/hr

Data Product Manager Location: St. Paul, MN (Remote/Hybrid - Local Candidates Preferred) Duration: September 2026 - August 2027 Type: Contract Work Hours: Monday-Friday | 7:00 AM-6:00 PM CT We are ...

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Data Product Manager Job Details * Data Product Manager (Contract) * Location: San Jose, CA (Hybrd) * Duration: 9/01/2025 to 4/30/2026 * Team: Data and Analytics_AMER Key Responsibilities: * Help ...

Product Managers at DCYF guide products through the full lifecycle-from ideation and design to development, deployment, monitoring, and deprecation. \n \n \n \n ROLE & RESPONSIBILITIES \n \n Data ...

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The Data Product Manager will define and lead the vision, strategy, and roadmap for enterprise data products, including the Marketing Data Platform (MDP), Customer 360, and Conversational Agentic AI ...

We are looking for a strategic, analytical, and execution-minded Data Product Manager to turn fragmented workflows and raw reporting requests into scalable, high-impact data products. In this role ...

Data Product Manager

Purchase, NY · On-site

$110K - $185K/yr

Data Product Management is part of the Global Data, Analytics & Ai (D&AI) team. We are tasked with articulation of the vision and leading the implementation of PepsiCo's next generation global Data ...

New

$88 - $218/hr

As a Data Product Manager, you will: * Partner with underwriting, actuarial, and operational business leaders to identify high-value problems, decision needs, and opportunities for measurable ...

Data Product Manager Reports To: Director of Product & Delivery, Data Organization Location: Atlanta, GA; Boston, MA; NYC Manhattan; West Hartford, CT (Hybrid) The Team: Our Data organization creates ...

The work is expected to be done remotely or hybrid at client offices Description of Project The client is seeking one full-time Data Product Manager who will be responsible for supporting significant ...

The Data Product Manager will define and lead the vision, strategy, and roadmap for enterprise data products, including the Marketing Data Platform (MDP), Customer 360, and Conversational Agentic AI ...

Data Product Manager Reports To: Director of Product & Delivery, Data Organization Location: Atlanta, GA; Boston, MA; NYC Manhattan; West Hartford, CT (Hybrid) The Team: Our Data organization creates ...

Paul MN (Hybrid ) Duration: 12 months Job ID: 3838 \n \n \n \n \n \n Client is seeking one full\-time Data Product Manager who will be responsible for supporting significant system changes to turn ...

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Flexible Data Product Manager information

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$51.5K

$159.4K

$197K

How much do flexible data product manager jobs pay per year?

As of Sep 6, 2026, the average yearly pay for flexible data product manager in the United States is $159,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,000.00 and $197,000.00 per year, depending on experience, location, and employer.

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

AspectFlexible Data Product ManagerData Analyst
Required CredentialsBachelor's or higher in CS, Data Science, or related; experience in product managementBachelor's in Statistics, Data Science, or related; proficiency in data analysis tools
Work EnvironmentCross-functional teams, product development, strategic planningData reporting, visualization, data cleaning, and analysis
Employer & Industry UsageTech companies, e-commerce, finance, healthcareBusiness intelligence, marketing, finance, research

The Flexible Data Product Manager focuses on developing data-driven products, managing cross-functional teams, and aligning data initiatives with business goals. In contrast, a Data Analyst primarily interprets data, creates reports, and provides insights. While both roles require strong analytical skills, the product manager emphasizes strategic planning and product lifecycle management, whereas the analyst concentrates on data analysis and visualization.

What cities are hiring for Flexible Data Product Manager jobs?

Cities with the most Flexible Data Product Manager job openings:

What are the most commonly searched types of Data Product Manager jobs?

The most popular types of Data Product Manager jobs are:

What states have the most Flexible Data Product Manager jobs?

States with the most job openings for Flexible Data Product Manager jobs include:

Data Product Manager

S R INTERNATIONAL INC

Saint Paul, MN • Remote

Full-time

Posted 3 days ago

New


Job description

Job Title: Data Product Manager
Job Code: MNSITE-3838
Client: Minnesota IT Services (MNIT) / Department of Children, Youth, and Families (DCYF)
Location: St. Paul, MN – Remote or Hybrid
Duration: Until August 2027
Work Hours: Monday–Friday, 7:00 AM–6:00 PM CT, 40 hours/week
Closing Date: 09/08/2026 at 2:00 PM CDT
Position Overview

MNIT/DCYF is seeking a Data Product Manager to lead the strategy, roadmap, and execution of data initiatives that transform organizational data into scalable, high-value data products, including curated datasets, analytics platforms, and data infrastructure.
The role will work closely with data engineering, data science, analytics, enterprise architecture, and business teams to modernize legacy mainframe data environments and transition toward data lakes and modern data curation platforms. The Data Product Manager will guide products through the full lifecycle, from ideation and design through development, deployment, monitoring, and deprecation.
Required Skills

  • 4–7 years of experience in data management, data analytics, data engineering, or related fields.
  • Strong Product Management / Product Leadership experience.
  • Strong understanding of data systems, data pipelines, data warehousing, data modeling, metadata, and data governance.
  • Experience collaborating with Data Architecture, Data Engineering, and Data Science teams.
  • Ability to translate complex technical concepts into business-friendly language.
  • Strong communication, prioritization, stakeholder management, and analytical skills.
  • Experience with analytics and BI tools such as Power BI, Tableau, Looker, dbt, or Google Analytics.
  • Experience with SQL, data lakes, data pipelines, and ETL.
  • Significant experience with Databricks.
  • Familiarity with Java and Python.
  • Experience implementing modern data architectures.
  • Experience building internal platforms or developer-facing data products.
  • Understanding of enterprise data sharing constraints and data-sharing agreements.
  • Experience in a highly regulated environment involving statistical analysis and reporting.
Key Responsibilities

  • Define the vision, strategy, and roadmap for enterprise data products.
  • Identify high-value opportunities based on business needs, data landscapes, and organizational priorities.
  • Lead the end-to-end data product lifecycle including 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, metadata, and documentation standards.
  • Translate business logic into data transformations, metadata, and domain-specific rules.
  • Serve as the primary liaison between technical teams and DCYF business stakeholders.
  • Define success metrics, KPIs, dashboards, and reporting frameworks.
  • Ensure data products provide actionable insights and support data-driven decision making.
  • Promote responsible data use, privacy, governance, compliance, and ethical AI practices.
  • Support modernization from legacy mainframe systems to modern data lakes and data platforms.
Technical Environment / Primary Skills

Data Product Management, Data Analytics, Data Engineering, Data Management, Data Governance, Data Quality, Data Architecture, Data Modeling, Data Pipelines, ETL, Data Lakes, Databricks, SQL, Power BI, Tableau, Looker, dbt, Google Analytics, Java, Python, Metadata, Machine Learning Operations, Enterprise Architecture, Stakeholder Management, Product Lifecycle, Business Strategy.

 

This is a remote position.