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Data Science Product Manager Jobs in Massachusetts

Permanent Build a brilliant future with Hiscox Product Manager, Data Science, AI & Innovation Position: Data Product Manager Reports To: Director of Product & Delivery, Data Organization Location:

Product & Customer Impact Collaborate with Product Management to define AI-powered product experiences and roadmap priorities. Translate customer needs into data science opportunities that improve ...

Data Science Tutor

Lawrence, MA · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Somerville, MA · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Lowell, MA · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Boston, MA · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Quincy, MA · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

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Showing results 1-20

Data Science Product Manager information

See Massachusetts salary details

$56.2K

$174.1K

$215.1K

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

As of Aug 30, 2026, the average yearly pay for data science product manager in Massachusetts is $174,090.00, according to ZipRecruiter salary data. Most workers in this role earn between $154,000.00 and $215,100.00 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.

What are popular job titles related to Data Science Product Manager jobs in Massachusetts?

For Data Science Product Manager jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Data Science Product Manager jobs in Massachusetts look for?

The top searched job categories for Data Science Product Manager jobs in Massachusetts are:

What cities in Massachusetts are hiring for Data Science Product Manager jobs?

Cities in Massachusetts with the most Data Science Product Manager job openings:

Infographic showing various Data Science Product Manager job openings in Massachusetts as of August 2026, with employment types broken down into 82% Full Time, 14% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $174,090 per year, or $83.7 per hour.

Director I, Data Science Product Management

Boston, MA


Liberty Mutual
Insurance Services • 10K+ employees

8.7

Company rating: 8.7 out of 10

Based on 162 frontline employees who took The Breakroom Quiz

50th of 315 rated insurance

People enjoy working here

Good employer

Recommended by students


$253K - $265K/yr

Full-time

Re-posted 10 days ago


Job description

Description

About the Team

The Enterprise Data & Data Science organization provides centralized product, platform, and technology support for Data Science teams across Liberty Mutual. Our team focuses on enabling the development, deployment, and adoption of AI/ML solutions through shared platforms, reusable capabilities, and enterprise-scale data science practices. We partner closely with Data Scientists, Engineers, Architects, and business stakeholders to accelerate innovation, improve operational efficiency, and help deliver business value through AI and machine learning.

Description

The Director, Data Science Product Management supports the organization, prioritization, and delivery of a portfolio of data science work that enables machine learning and AI solutions across Liberty Mutual. This role develops and drives product vision, represents the voice of the customer, and partners closely with Data Scientists, Engineers, Architects, and business stakeholders to deliver measurable business value.

This role serves as the Product Owner for a portfolio of data science enablement capabilities, partnering with engineering teams to translate customer needs into prioritized roadmaps, backlogs, and delivered solutions.

This role is ideal for a candidate who combines strong data science or technical expertise with product thinking and stakeholder leadership. Success requires the ability to understand the needs of Data Scientists, evaluate technical solutions, and translate complex technical concepts into product decisions and business outcomes.

This position may be filled as an Assistant Director or Director I, Data Science based on experience.

Asst Director, Data Science Product Management: $125,300 - $176,800

Dir I, Data Science Product Management: $142,800 - $201,300

Responsibilities

  • Develop and drive product vision, roadmap, and prioritization for a portfolio of data science enablement capabilities.
  • Develop business value estimates and success measures to inform prioritization and evaluate outcomes.
  • Represent the voice of the customer and incorporate stakeholder feedback into product decisions.
  • Partner with Data Scientists, Data Engineers, Software Engineers, and Architects to support the development, deployment, monitoring, and adoption of machine learning and AI solutions.
  • Explore and evaluate technical solutions that improve model development, deployment, operational efficiency, and user experience.
  • Drive the development and adoption of reusable patterns and platform capabilities that enable teams to more effectively deliver data science solutions.
  • Partner with cross-functional teams to identify and prioritize technical debt reduction, DevOps, and MLOps improvements.
  • Serve as Product Owner for assigned capabilities, developing, maintaining, and prioritizing product backlogs aligned to roadmap objectives and customer needs.
  • Partner with delivery teams to support effective planning, execution, and delivery using Agile practices.
  • Lead discussions, planning sessions, and stakeholder engagements for complex initiatives.
  • Communicate product plans, priorities, recommendations, and outcomes to stakeholders and leadership.
Qualifications
  • Asst Director, Data Science Product Management- Bachelor`s degree in quantitative field with 5 to 7 years of related experience within insurance, actuarial, data science or technology product management. Master`s degree preferred. ACAS helpful.
  • Dir I, Data Science Product Management- Bachelor`s degree in quantitative field with 7+ years, typically 10 or more years, of related experience within insurance, actuarial, data science or technology product management preferred. FCAS / ACAS preferred
  • Master`s degree preferred
  • Strong understanding of data science concepts, machine learning workflows, experimentation practices, and model lifecycle management.
  • Demonstrated understanding of the end-to-end data science lifecycle, including model development, deployment, monitoring, and business value realization.
  • Experience working directly with Data Scientists and partnering with Engineering and Architecture teams to deliver technical capabilities and business outcomes.
  • Familiarity with model deployment, monitoring, experimentation, DevOps, and MLOps practices.
  • Familiarity with modern data, analytics, and AI technologies (AWS, Azure, Databricks, etc.).
  • Experience supporting enterprise AI/ML platforms, data science enablement capabilities, or model operationalization efforts.
  • Demonstrated ability to evaluate technical solutions and translate complex data science, AI, and engineering concepts into actionable product decisions and business outcomes.
  • Experience working effectively in large, complex, and highly matrixed organizations.
  • Strong communication, stakeholder management, influence, and organizational leadership skills.
About Us

Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve. We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefitsLiberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.Fair Chance Notices

  • California
  • Los Angeles Incorporated
  • Los Angeles Unincorporated
  • Philadelphia
  • San Francisco
Employment Type: FULL_TIME

Liberty Mutual logo

About Liberty Mutual

Sourced by ZipRecruiter

Since 1912, we've grown into the fifth largest global property and casualty insurer based on 2022 gross written premium. We also rank 86 on the Fortune 100 list of largest corporations in the US based on 2022 revenue. ​At Liberty Mutual Insurance we work hard every day to support our customers and our people, so they can protect their families, build their businesses and invest in their futures. We are headquartered in Boston, but our people, our customers and our reach span the globe. So to better serve our global customers and employees, we are organized into three business units.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

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Benefits

Hours and flexibility

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