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Data Science Product Manager Jobs in Raleigh, NC

Well

Product Manager

Chapel Hill, NC · On-site +1

$115K - $140K/yr

Collaborate with Engineering and Data Science for product prioritization as part of sprint planning ... management, engineering, or related industry experience. * Experience defining software projects ...

RELX Group plc

Manager Data Science

Raleigh, NC · On-site

$115K - $192K/yr

Would you enjoy working on our cutting-edge products? About our Team LexisNexis Legal ... As a Manager, Data Science, you will be a subject matter expert, defining projects and their ...

LexisNexis

Manager Data Science

Raleigh, NC · On-site +1

$115K - $192K/yr

Would you enjoy working on our cutting-edge products? About our Team LexisNexis Legal ... As a Manager, Data Science, you will be a subject matter expert, defining projects and their ...

McGough

Manager, Data Science

Raleigh, NC · On-site

MANAGER, DATA SCIENCE The Manager of Data Science will build and lead a focused, high-impact team ... Ensure models are designed for production use, including scalability, robustness, and ...

RELX

Manager Data Science

Raleigh, NC · On-site +1

$115K - $192K/yr

Would you enjoy working on our cutting-edge products? About our Team LexisNexis Legal ... As a Manager, Data Science, you will be a subject matter expert, defining projects and their ...

LexisNexis

Manager Data Science

Raleigh, NC · On-site

$115K - $192K/yr

Would you enjoy working on our cutting-edge products? About our Team LexisNexis Legal ... As a Manager, Data Science, you will be a subject matter expert, defining projects and their ...

TEKsystems

Sr. Manager Of Data Science

Raleigh, NC

We are seeking a hands-on Senior Manager of Data Science to lead a high-impact team in developing ... You will lead a team that embeds machine learning and generative AI directly into production ...

TEKsystems

Sr. Manager Of Data Science

Raleigh, NC

$85 - $96/hr

We are seeking a hands-on Senior Manager of Data Science to lead a high-impact team in developing ... You will lead a team that embeds machine learning and generative AI directly into production ...

Varsity Tutors

Data Science Tutor

Durham, NC · 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 ...

Varsity Tutors

Data Science Tutor

Chapel Hill, NC · 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 ...

Varsity Tutors

Data Science Tutor

Raleigh, NC · 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 ...

Spgi

Vice President, Data Science

Raleigh, NC · On-site

$177K - $350K/yr

The expectation is production-grade models, comparable in rigor to fraud, risk, or surveillance ... You may have limited line management responsibility, but impact is driven primarily through hands ...

S&P Global

Vice President, Data Science

Raleigh, NC · On-site

$177K - $350K/yr

The expectation is production-grade models, comparable in rigor to fraud, risk, or surveillance ... You may have limited line management responsibility, but impact is driven primarily through hands ...

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All JobsData Science Product JobsData Science Product Manager JobsData Science Product Manager Jobs in Raleigh, NC

Data Science Product Manager information

See Raleigh, NC salary details

$50.1K

$155K

$191.5K

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

As of Jul 6, 2026, the average yearly pay for data science product manager in Raleigh, NC is $154,954.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,100.00 and $191,500.00 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.
What are popular job titles related to Data Science Product Manager jobs in Raleigh, NC? For Data Science Product Manager jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Data Science Product Manager jobs in Raleigh, NC look for? The top searched job categories for Data Science Product Manager jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Data Science Product Manager jobs? Cities near Raleigh, NC with the most Data Science Product Manager job openings:
Data Science Product Manager jobs near you
Infographic showing various Data Science Product Manager job openings in Raleigh, NC as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $154,954 per year, or $74.5 per hour.
Product Manager

Product Manager

Well

Chapel Hill, NC • On-site, Remote

$115K - $140K/yr

Full-time

Posted 9 days ago

Job description

Description
Company:Well is a healthcare innovation company with the heart of a services organization and the DNA of a SaaS platform. Our Dynamic Engagement System transforms workforce health by uniting AI, human guidance, and proven behavioral science to reduce costs, improve outcomes, and create resilient, thriving workforces. We partner with the world's largest, most sophisticated employers and the consultants who advise them. We're a highly diverse and engaged organization whose employees are passionate about the mission of the company and whose management is passionate about the employees. We promote an employee- and member-centric culture with generous benefits, which you can learn more about here: https://www.well.co/careers.
Position Title: Product Manager
Reporting to: Principal Product Manager
Location: Hub locations in Chapel Hill, NC; Boston, MA; New York, NY; Remote candidates may be considered
Compensation:Product Manager ($115,000-$140,000) per year, depending on qualifications, plus bonus potential and benefits
Summary: We're looking for an experienced Product Manager to build the future of the Well platform while collaborating with our engineering, data science, clinical, and marketing partners. In this role, you will own multiple product areas across the Well platform, with a particular focus on leveraging generative AI and large language models to transform how we engage members and deliver health outcomes. You will envision and grow product strategy, analyze and understand trends in the industry, and build new technology and features for our members across their health engagement and behavior change journey. You are able to jump into the details of day-to-day execution while taking a step back to evaluate the long-term strategies and goals for your product area.
Key Responsibilities:
  • Become a domain expert and product lead in one or more relevant product areas and drive products through their end-to-end lifecycle, from requirements gathering to scoping, roadmap planning, execution, delivery, continuous improvement, and growth.
  • Identify and evaluate opportunities to apply generative AI, large language models, and other emerging technologies to Well's platform, translating cutting-edge capabilities into practical product features that improve member engagement and health outcomes.
  • Act as a liaison for multiple cross-functional stakeholder teams, including UX, Engineering, Data Science, Clinical, Business Development, and Marketing.
  • Collaborate with Engineering and Data Science for product prioritization as part of sprint planning, with an emphasis on data-driven decision-making and experimentation.
  • Synthesize user research, customer feedback, quantitative analysis, and market trends into long-term product roadmaps and priorities.
  • Use data, analytics, and AI/ML insights to define success metrics, build business cases, and measure product impact.
  • Take personal responsibility for keeping all Well systems and data, including sensitive member data, secure and safe, according to Well data and security policies and HIPAA guidelines.

Requirements
  • Bachelor's degree in engineering, computer science, business administration, data science, information science, or related field.
  • 3+ years in product management, engineering, or related industry experience.
  • Experience defining software projects, collecting requirements, designing process solutions, writing detailed functional specifications, coordinating efforts to scope, schedule, and deploy solutions.
  • Strong analytical and quantitative skills with intermediate-to-advanced proficiency in SQL and analytics tools (e.g., Tableau, Looker, Amplitude). Demonstrated ability to use data and metrics to develop business cases and inform product decisions.
  • Familiarity with AI/ML concepts, including large language models (LLMs) and generative AI. Ability to understand model capabilities, evaluate AI-powered product features, and collaborate effectively with data science and ML engineering teams.
  • Experience in healthcare, health tech, or digital health products.
  • Hands-on experience with AI/ML product development, prompt engineering, or building applications that integrate LLM capabilities.
  • Experience with experimentation frameworks (A/B testing, feature flagging) and data pipelines.
  • Background in behavioral science, behavior change, or member engagement strategies.
  • Familiarity with HIPAA compliance and healthcare data standards.

Apply