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Data Science Product Manager Jobs (NOW HIRING)

Senior Product Manager

San Jose, CA · On-site

$152 - $179/hr

Our products help clinical scientists, medical writers, clinical operations teams, and data managers make better decisions faster while maintaining transparency, trust, and regulatory compliance.

Senior Product Manager

San Jose, CA · Remote

$129K - $170K/yr

Our products help clinical scientists, medical writers, clinical operations teams, and data managers make better decisions faster while maintaining transparency, trust, and regulatory compliance.

Senior Product Manager

San Diego, CA · Remote

$129K - $170K/yr

Our products help clinical scientists, medical writers, clinical operations teams, and data managers make better decisions faster while maintaining transparency, trust, and regulatory compliance.

Senior Product Manager

San Diego, CA · On-site +1

$134K - $177K/yr

Our products help clinical scientists, medical writers, clinical operations teams, and data managers make better decisions faster while maintaining transparency, trust, and regulatory compliance.

... managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Preferred Qualifications * 4+ years of experience in data science, product ...

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 ...

Showing results 21-40

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 Sep 1, 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.

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.

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.

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:

Infographic showing various Data Science Product Manager job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $159,405 per year, or $76.6 per hour.

Senior Product Manager

Faro-Health-Inc.

San Jose, CA • On-site

$152 - $179/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 hours ago


Job description

About Faro Health

Faro Health is transforming how clinical trials are designed. Our platform combines

structured clinical data, advanced analytics, and artificial intelligence to help life sciences

organizations design higher quality studies, reduce development costs, and accelerate the

delivery of new therapies to patients.

We believe the future of clinical development is built on intelligent software that augments

human expertise. Our products help clinical scientists, medical writers, clinical operations

teams, and data managers make better decisions faster while maintaining transparency,

trust, and regulatory compliance.

Faro is a mission driven company seeking exceptional people who are passionate about

improving patient outcomes through technology. We offer competitive compensation,

generous benefits, flexible work arrangements, and a collaborative culture focused on

innovation and continuous learning.

Role Overview

As a Senior Product Manager, you will own a strategic product area and be responsible for

defining its vision, roadmap, and execution from discovery through launch.

You will work closely with Engineering, Data Science, Product Design, Clinical Subject

Matter Experts, and customers to build products that solve meaningful problems across the clinical development lifecycle. Rather than simply delivering features, you will design

workflows that combine structured data, artificial intelligence, and expert review to improve how customers create, review, and optimize clinical studies.

This role requires strong product judgment, customer empathy, and the ability to navigate

ambiguity while balancing business goals, technical investment, and customer needs. You

will be expected to independently lead initiatives, influence product strategy, and deliver

measurable customer outcomes.

ResponsibilitiesProduct Strategy
  • Own the strategy, roadmap, and execution for a major product area.
  • Identify customer problems through interviews, workflow analysis, product analytics, and market research.
  • Translate customer needs into product strategies and prioritized roadmaps.
  • Define product success metrics and use data to continuously improve customer outcomes.
  • Balance customer value, technical complexity, and business priorities when making product decisions.
AI Product Development
  • Design intelligent product experiences that use structured data, large language models, retrieval systems, and automation to improve customer workflows.
  • Partner with Data Science and Engineering to define AI capabilities including:
    • Large Language Models
    • Retrieval Augmented Generation (RAG)
    • AI agents
    • Workflow automation
    • Prompt orchestration
    • Structured content generation
  • Define product requirements for AI capabilities, including evaluation criteria, quality metrics, confidence thresholds, and customer feedback mechanisms.
  • Ensure AI generated outputs are transparent, explainable, and aligned with customer expectations and regulatory requirements.
Customer Discovery
  • Develop a deep understanding of clinical development workflows and customer challenges.
  • Map complete customer journeys and identify opportunities to simplify complex workflows.
  • Validate concepts through customer interviews, usability testing, and prototype evaluations.
  • Partner with customers throughout product development to ensure solutions solve real problems.
Product Delivery
  • Work closely with Engineering, Design, and Data Science throughout the product development lifecycle.
  • Lead product planning, backlog prioritization, release planning, and customer adoption activities.
  • Clearly communicate priorities, tradeoffs, and progress to executives and cross functional stakeholders.
  • Ensure product releases deliver measurable customer and business value.
Product Analytics
  • Define and monitor key performance indicators including adoption, engagement, customer satisfaction, workflow efficiency, and AI quality.
  • Use experimentation and product analytics to improve product performance.
  • Develop evaluation frameworks that measure both product quality and customer impact.
Leadership
  • Mentor Associate Product Managers and contribute to product management best practices.
  • Foster strong collaboration across Engineering, Design, Clinical SMEs, Commercial, and Customer Success.
  • Champion a culture of customer focus, experimentation, accountability, and continuous improvement.
QualificationsRequired
  • Bachelor's degree in Computer Science, Engineering, Life Sciences, Business, or a related discipline.
  • 5+ years of product management experience building enterprise software or SaaS products.
  • Demonstrated success leading products from discovery through commercial launch.
  • Strong customer discovery and product strategy experience.
  • Experience defining product roadmaps and prioritizing across multiple initiatives.
  • Excellent written and verbal communication skills.
  • Strong analytical and problem solving abilities with a data driven approach to decision making.
  • Proven ability to influence cross functional teams without direct authority.
Preferred
  • Experience building products that incorporate artificial intelligence or machine learning.
  • Familiarity with technologies including:
    • Large Language Models - Claude, ChatGPT
    • Retrieval Augmented Generation
    • AI agents
    • Semantic search
    • Vector databases
    • Prompt engineering
  • Experience partnering with Data Science teams to deliver AI capabilities into production.
  • Experience defining AI quality metrics and evaluation frameworks.
  • Experience working in life sciences, healthcare, or other regulated industries.
  • Familiarity with cloud platforms, APIs, and modern data architectures.
_____________________________________What Success Looks Like

During your first year you will:

  • Successfully deliver strategic product capabilities that improve customer outcomes.
  • Launch AI capabilities that simplify complex clinical workflows while maintaining customer trust.
  • Increase product adoption, engagement, and customer satisfaction through measurable improvements.
  • Establish clear success metrics for your product area and use them to guide future investment.
  • Become a trusted product leader across Engineering, Design, Data Science, Clinical SMEs, and Commercial teams.
_____________________________________Leadership Expectations

Senior Product Managers at Faro are expected to:

  • Think strategically while remaining close to customer problems.
  • Make sound product decisions in ambiguous situations.
  • Build strong partnerships across Engineering, Design, Data Science, and Clinical teams.
  • Use customer feedback and product analytics to guide decisions.
  • Communicate clearly with both technical and business audiences.
  • Take ownership of outcomes, not just feature delivery.
  • Continuously learn and apply emerging technologies where they create meaningful customer value.
CompensationAnnual Salary

The expected salary range for this position is $152,000 - $179,000, depending on experience, skills, and location.

Equity

In addition to this position’s salary (listed above), equity will be a major component of the total compensation for this position. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.

Benefits
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k)
  • Life Insurance (Basic)
  • Short Term and Long Term Disability
  • Paid Time Off (Flexible Vacation Policy; Paid Sick & Public Holidays Observed)
  • Training & Development Reimbursement
  • Hybrid Work Environment
  • Peer-to-peer bonus program
  • Company/department outings and events
  • Stock Option Plan
  • Office On-Premises Amenities; gym, restaurant tenant discount, Padel Nine
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