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Data Science Product Manager Jobs in Raleigh, NC

Senior Data Scientist

Durham, NC · On-site

$90 - $120/hr

Evaluate and introduce new tools, frameworks, and methodologies to advance applied data science ... Azure AI -- production experience with Azure Machine Learning and Azure AI services.* Microsoft ...

... data science, UX, architecture, and go-to-market teams to deliver differentiated capabilities that improve marketer productivity, decision quality, and campaign outcomes. This role is critical to ...

Technical Product Manager

Raleigh, NC

$162K - $187K/yr

The Product Manager will directly manage a team of Product Owners, while partnering with stakeholders, engineers, designers, data scientists and cross-functional teams to translate business needs ...

... data science, UX, architecture, and go-to-market teams to deliver differentiated capabilities that improve marketer productivity, decision quality, and campaign outcomes. This role is critical to ...

... data annually, we are laying the foundation for a radiant evolution in healthcare. Job Overview ... Bachelor's Degree Computer Science, a related field, or equivalent experience * 4+ years of related ...

... Science & Analytics and Project management in Banking and Financial Services. • Expertise in Predictive Modeling and Big Data Analytics, Statistical model development, Implementations ...

Strong analytical and problem-solving skills with the ability to interpret complex data ... science in meaningful ways. Our global team is dedicated to combining best-in-class products and ...

Strong analytical and problem-solving skills with the ability to interpret complex data ... science in meaningful ways. Our global team is dedicated to combining best-in-class products and ...

Product Manager

Durham, NC · On-site

$88K - $220K/yr

... data annually, we are laying the foundation for a radiant evolution in healthcare. Job Overview ... Bachelor's Degree Computer Science, a related field, or equivalent experience * 4+ years of related ...

Data Scientist

Raleigh, NC · On-site

$111K/yr

... policy decisions, operational data management, and analyses. Responsible for organizing ... Mathematics, statistics, computer science, data science or field directly related to the position.

New

The Product Manager will ensure development of a clear value proposition utilizing customer knowledge and experience as well as analytical data. Essential functions: Prioritization Owner/Project ...

Principal Data Scientist

Raleigh, NC · On-site +1

$147K - $243K/yr

S. Build data science solutions for business challenges including customer propensity, product forecasting, and recommender systems. Use machine learning, data mining, and statistical methods to ...

Showing results 41-60

Data Science Product Manager information

See Raleigh, NC salary details

$50.1K

$154.9K

$191.5K

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

As of Aug 10, 2026, the average yearly pay for data science product manager in Raleigh, NC is $154,946.00, 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 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.

Who gets paid more, a data scientist or a data science product manager?

Typically, data science product managers earn higher salaries than data scientists due to their broader responsibilities, including strategic planning, cross-functional coordination, and product ownership. Data science product managers often have strong business acumen and project management skills, which contribute to their higher compensation. However, salary differences can vary based on experience, industry, and location.
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:
Infographic showing various Data Science Product Manager job openings in Raleigh, NC as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $154,946 per year, or $74.5 per hour.

Executive Director, Clinical Data Science

Eisai

Durham, NC • On-site

Other

Re-posted 11 days ago


Job description

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you.

We are seeking a visionary leader to shape and drive Clinical Data Science strategy across our global clinical development portfolio. This role ensures the rigorous application of statistical principles and advanced data science methodologies to optimize clinical trial efficiency and accelerate innovation. The Executive Director will spearhead the integration of AI/ML solutions for applications in disease diagnosis, modeling, imaging, genomics, proteomics, and precision medicine. Acting as the primary data science representative to global regulatory authorities, this individual will defend strategies and influence industry standards.

Strategic Leadership:

  • Define and execute Clinical Data Science strategies for clinical studies and development plans across the portfolio.
  • Serve as the primary spokesperson for Data Science at Health Authority meetings, leading preparation of responses and influencing regulatory perspectives.

Innovation & Execution:

  • Drive adoption of cutting-edge AI/ML methodologies for disease modeling, biomarker analysis, and precision medicine.
  • Oversee multiple large-scale, critical data science initiatives, ensuring timely, high-quality deliverables aligned with industry best practices.

Risk Management & Problem Solving:

  • Evaluate analytical options, proactively identify risks, and develop novel solutions to complex challenges.

Thought Leadership & External Engagement:

  • Represent the organization at technical seminars and conferences; build networks with industry experts to advance best practices.

Team Leadership & Development:

  • Manage and mentor a diverse team of data scientists and people managers across geographies.
  • Foster career growth through open dialogue, performance management, and strategic development planning.

Operational Excellence:

  • Ensure GxP compliance in data science programming for clinical trials.
  • Manage budgets, vendor relationships, and third-party deliverables to maintain quality and efficiency.

Executive Communication:

  • Deliver clear, compelling communication of complex data science concepts to internal and external stakeholders with executive presence.

Qualifications

  • Ph.D. in Biostatistics or a Master's Degree in Biostatistics in combination with a Ph.D.in Bioinformatics or related computational sciences.
  • Deep expertise in statistical methods and their application in clinical trials.
  • Minimum 10 years of industry experience in clinical development, including Data Science and Biostatistics.
  • Recognized thought leader in at least one data science discipline (e.g., AI/ML modeling, precision medicine).
  • Proven experience presenting at external forums and influencing regulatory authorities.
  • Strong people leadership experience in a Data Science setting.
  • Prior research experience in neurology, particularly Alzheimer's disease biomarkers (plasma, CSF, imaging), strongly preferred.

Eisai Salary Transparency Language:

The annual base salary range for the Executive Director, Clinical Data Science is from :$273,200-$358,600 Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan.

Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills.

Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit https://careers.eisai.com/us/en/compensation-and-benefits.

Certain other benefits may be available for this position, please discuss any questions with your recruiter.

Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans.

Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information:

Right To Work

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About Eisai

Sourced by ZipRecruiter

Eisai is a global pharmaceutical company (headquartered in Woodcliff Lake, NJ, US), renowned for its innovative research and development in neuroscience and oncology. The primary focus of the company is to provide therapeutic treatments and solutions for diseases like Alzheimer's, cancer, and other neurological disorders. Eisai was founded in Japan in 1941 and has since developed a strong presence across international markets. Eisai's core values center around their philosophy of 'human health care' (hhc), where they aim to make significant and positive contributions to patients and their families' healthcare worldwide.

Company size

1,001 - 5,000 Employees

Headquarters location

Nutley, NJ, US

Year founded

1995

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