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Data Science Product Manager Jobs (NOW HIRING)

Cypress HCM

Data Product Manager

San Jose, CA · On-site

$68.31/hr

Data Product Manager (Contract) * Location: San Jose, CA 95110 (Hybrid) * Duration: 7/27/2026 to 12 ... This individual will partner across Product, Engineering, Data Science, and Analytics to build ...

Definitive Healthcare, US

Data Scientist

Framingham, MA

$92K - $144K/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 ...

Whatnot

Manager, Data Science

San Francisco, CA · On-site

$221K - $320K/yr

Partner closely with Product, Engineering, Marketing, Finance, Trust & Safety, and other cross ... Manage, coach, and develop high-performing data scientists while hiring thoughtfully as the ...

Adobe

Senior Manager, GTM Data Science

San Francisco, CA

$149K - $196K/yr

Adobe's creative products empower millions of customers-from individual creators and creative ... of data science, product analytics, marketing analytics, and business performance management.

Adobe, Inc.

Senior Manager, GTM Data Science

San Jose, CA · On-site

$148K - $195K/yr

Adobe's creative products empower millions of customers-from individual creators and creative ... of data science, product analytics, marketing analytics, and business performance management.

Harvey

Data Scientist, Product

San Francisco, CA · On-site

$155K - $260K/yr

What You Have * 5+ years of experience in data science, product analytics, economics, statistics, or another quantitative field, ideally in a high-growth product company, AI company, research ...

Adobe

Senior Manager, GTM Data Science

San Jose, CA · On-site

$148K - $195K/yr

Adobe's creative products empower millions of customers-from individual creators and creative ... of data science, product analytics, marketing analytics, and business performance management.

NextDeavor Inc.

Data Product Manager

San Jose, CA · Hybrid

$54.65 - $68.31/hr

Data Product Manager Full-time San Jose, CA You'll be joining Adobe on a contract opportunity ... You will work cross-functionally with data engineering, data science, and analytics teams to ...

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Data Science Product Manager information

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$51.5K

$159.4K

$197K

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

As of Jul 23, 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 is the hottest job of the 21st century?

Data Science Product Managers are among the most in-demand roles in the 21st century, combining skills in data analysis, product development, and strategic planning. They oversee data-driven products and require knowledge of tools like SQL, Python, and machine learning, often working in fast-paced tech environments. The role is expected to grow as organizations increasingly rely on data to make decisions.

Is 40 too late for data science?

A Data Science Product Manager can enter the field at age 40, as experience, domain knowledge, and skills like programming and statistical analysis are highly valued. Many professionals transition into data science roles later in their careers, and continuous learning through certifications or courses can facilitate this shift. Age is less important than relevant skills and experience in the data science industry.

Can data scientists make $300k?

Data science product managers and senior data scientists with extensive experience, specialized skills, and working in high-cost-of-living areas can earn salaries of $300,000 or more. Achieving this level often requires advanced knowledge of machine learning, strong business acumen, and leadership responsibilities, along with experience at top companies or in executive roles.

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.

Can a data scientist be a product manager?

A data scientist can transition to a product manager role, especially if they develop skills in project management, user experience, and business strategy. While the roles have different focuses—data scientists analyze data and product managers oversee product development—both require strong communication and cross-functional collaboration. Experience with tools like A/B testing, roadmapping, and stakeholder management can facilitate this transition.
More about Data Science Product Manager jobs
What cities are hiring for Data Science Product Manager jobs? Cities with the most Data Science Product Manager job openings:
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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $159,405 per year, or $76.6 per hour.
Data Product Manager

Data Product Manager

Cypress HCM

San Jose, CA • On-site

$68.31/hr

Other

Posted 18 days ago

Job description

Job Details
  • Data Product Manager (Contract)
  • Location: San Jose, CA 95110 (Hybrid)
  • Duration: 7/27/2026 to 12/22/2026
  • Team: US Digital Strategy & Ops Global
Job Description
  • Seeking an experienced Data Product Manager to define and own the vision, roadmap, and execution of enterprise analytics data products. This individual will partner across Product, Engineering, Data Science, and Analytics to build scalable datasets, governed metrics, semantic layers, and dashboards that become the organization's trusted source of business insights.
Responsibilities
  • Define and own the long-term roadmap for analytics datasets, governed metrics, semantic layers, and dashboards
  • Translate business questions into scalable data products that support multiple teams and use cases
  • Establish and manage a prioritized intake process for analytics requests
  • Write detailed requirements for datasets, dashboards, metric definitions, dimensions, filters, grain, and refresh schedules
  • Partner with Data Engineering to design scalable data models, pipelines, and data contracts
  • Partner with Analytics and Data Science teams to ensure datasets are reusable and analysis-ready
  • Develop KPI frameworks and standardized metric definitions to create a single source of truth
  • Own dashboard strategy, including new development, retirement decisions, usability improvements, and adoption
  • Drive Agile execution including Jira epics, sprint planning, backlog prioritization, release planning, and stakeholder communication
  • Maintain documentation within Confluence for datasets, dashboards, metrics, and best practices
  • Lead quarterly roadmap planning, milestone tracking, stakeholder reviews, and resource planning
  • Define and monitor success metrics including adoption, data quality, freshness, reliability, and stakeholder satisfaction
  • Establish monitoring processes and operational procedures for data quality and incident management
  • Improve self-service analytics through documentation, enablement, and user training
  • Serve as the primary cross-functional owner throughout the lifecycle of analytics data products
Qualifications
  • 5+ years of Data Product Management, Analytics Product Management, or Analytics Program leadership experience
  • Strong experience building and managing analytics data products
  • Proven ability to translate ambiguous business requirements into scalable datasets and dashboards
  • Strong SQL skills
  • Strong understanding of data warehousing concepts, dimensional modeling, and event-based data
  • Experience with BI platforms such as Looker, Tableau, or Power BI
  • Experience with semantic layers and governed metric definitions
  • Experience partnering closely with Data Engineering and Analytics teams
  • Strong Agile execution experience including Jira backlog management and sprint planning
  • Experience documenting technical solutions in Confluence or similar wiki platforms
  • Strong understanding of data quality, governance, monitoring, and data reliability
  • Bachelor's degree in Computer Science, Engineering, Statistics, Economics, or another quantitative discipline
Compensation
  • Pay Rate $68.31 per hour
Requisition ID: 37376095
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About Cypress HCM

Sourced by ZipRecruiter

We deliver consistently superior recruiting by virtue of trusting, communicative relationships with companies and candidates alike. From Fortune 100s to startups, clients lean on us to fulfill their range of needs from contract to full-time positions. With an intimate knowledge of the industries we serve, a keen sense of what makes for high-performing talent in any role, and shared sense of urgency, our clients will tell you: your solution begins here.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Walnut Creek, CA, US

Year founded

2005

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