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Data Science Product Manager Jobs (NOW HIRING)

Definitive Healthcare, US

Data Scientist

Framingham, MA

$92K - $172K/yr

This role is ideal for someone who thrives at the intersection of data science, product innovation ... Lead strategic product enhancements , including defining project plans, managing timelines, and ...

Saanvi Technologies

Senior Data Product Manager

Dearborn, MI · On-site

$116K - $153K/yr

Bachelor's degree in Computer Science, Information Systems, Engineering, Business, Data Analytics, or a related field. * 5+ years of Product Management, Data Management, Business Intelligence ...

Stefanini

Data Product Manager

Dearborn, MI · On-site

Stefanini is looking for a Data Product Manager (Dearborn, MI) For quick apply, please reach out to ... The ideal candidate will bridge business, engineering, analytics, and data science teams to deliver ...

Paylocity

Manager Data Science

Schaumburg, IL · On-site

The Data Science Manager is a critical role in our Product and Technology organization. This role ... requires strong technical expertise as well as solid people and project management experience. This ...

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Data Science Product Manager information

See salary details

$51.5K

$159.4K

$197K

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

As of Jun 8, 2026, the average yearly pay for data science 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 a Data Science Product Manager?

A Data Science Product Manager is a professional who bridges the gap between data science teams and business objectives by guiding the development of data-driven products. They work closely with data scientists, engineers, and stakeholders to define product vision, prioritize features, and ensure successful product delivery. Their role involves understanding both the technical aspects of machine learning and analytics as well as user needs and business strategy. This ensures that data-powered products are effective, user-focused, and aligned with organizational goals.

What are the key skills and qualifications needed to thrive as a Data Science Product Manager, and why are they important?

To thrive as a Data Science Product Manager, you need a strong background in product management, data analytics, and a foundational understanding of machine learning, often supported by a degree in a technical or quantitative field. Familiarity with tools like SQL, Python, JIRA, and knowledge of data platforms and agile methodologies is typically required. Excellent communication, strategic thinking, and the ability to bridge technical and non-technical teams are vital soft skills. These competencies ensure successful product development, effective stakeholder alignment, and the delivery of impactful data-driven solutions.

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

AspectData Science Product ManagerData Analyst
Required credentialsBackground in data science, product management, or related fields; often requires experience with machine learning and data-driven product developmentTypically holds a degree in statistics, mathematics, or business; skills in data visualization and basic analytics
Work environmentCollaborates with product teams, data scientists, engineers; focuses on developing data products and strategiesWorks with business units to interpret data, generate reports, and support decision-making
Employer and industry usageUsed in tech companies, e-commerce, and organizations developing data-driven productsCommon across finance, marketing, healthcare, and business intelligence roles

The main difference is that Data Science Product Managers oversee the development of data products and strategies, requiring a blend of product management and data science skills. Data Analysts focus on interpreting data and generating insights to support business decisions. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

How does a Data Science Product Manager typically collaborate with data scientists and engineers during a product lifecycle?

A Data Science Product Manager plays a crucial role in bridging the gap between business objectives and technical teams. Throughout the product lifecycle, they work closely with data scientists to define project goals, prioritize features, and translate business needs into actionable data-driven solutions. They also coordinate with engineers to ensure the seamless integration of machine learning models into products, address technical constraints, and facilitate communication between cross-functional teams. This collaborative approach ensures that data science initiatives are both technically feasible and aligned with overall business strategy.
More about Data Science Product Manager jobs
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What states have the most Data Science Product Manager jobs? States with the most job openings for Data Science Product Manager jobs include:
What job categories do people searching Data Science Product Manager jobs look for? The top searched job categories for Data Science Product Manager jobs are:
Data Science Product Manager jobs near you
Infographic showing various Data Science Product Manager job openings in the United States as of May 2026, with employment types broken down into 62% Full Time, 35% Part Time, and 3% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $159,405 per year, or $76.6 per hour.
Head of Product Data Science

Head of Product Data Science

Spartan Technologies, Inc.

San Francisco, CA • On-site

Full-time

Posted 28 days ago

Job description

We have an amazing opportunity at a world class organization that is seeking a Head of Product Data Science who is interested in a Fulltime/Direct hire opportunity located in the San Francisco Area. In this role, you will grow the product data science team and lead the development of data and AI products. You will also lead a team of data scientists and work directly in partnership with product managers and engineering leaders to empower them with data-driven insights and solutions. You, along with your team, will dig into the data to uncover new insights, identify opportunities and actions for product improvements and new product development, determine product metrics with goals, design experiments, and promote customer experience, engagement, and growth of the Company's products.
As the Leader for Product Data Science, you will establish the roadmap for your team and implement projects in data science, artificial intelligence, machine learning, and product insights. You will also partner with our engineering teams to create requirements of the Company product to allow data scientists to easily explore and analyze new data sets for insights and to build data products.
  • Lead data scientists to provide product insights and develop important data and AI products and capabilities.
  • Develop data science solutions to identify opportunities for product improvements, new product features, improve and forecast growth, and improve product use and customer experience.
  • Partner with product managers and stakeholders to understand the business need and priorities to build a roadmap of strategic capabilities and ensure delivery and adoptions.
  • Design metrics and KPI definitions with goals for different product areas, report and communicate insights around product success to partners and the senior management team.
  • Function as a thought partner with senior management and stakeholders as well as provide leadership in developing the long-term vision and requirements for the Databricks product.

This is a Hybrid model so you must be local to be considered. We are not working with third parties so please do not solicit your candidate nor call.
You must be a US Citizen or a Green Card holder to qualify.
Are you passionate about leading high-performing Data & AI teams?
In this role, you will lead a team of skilled Data Scientists who are focused on the R&D of their groundbreaking data and AI products. You will also be responsible for shaping the strategic roadmap of the business. To do that, you will collaborate closely with their world-class Product Managers and Engineering Leaders.
Required skills:
- 10+ years of experience in product data science, machine learning, and advanced analytics
- 5+ years of successful team management and development
- Cloud environment expertise in developing data science, analytics, and AI products
- Strong knowledge of statistics and analytical techniques
- Leadership skills to drive collaboration across functions
- Excellent communication to articulate analytics and data science to senior management

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