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Data Science Product Manager Jobs in Raleigh, NC

IQVIA

Product Manager

Durham, NC · Remote

$87K - $217K/yr

You'll collaborate with product managers, data scientists, and engineering teams to ensure data integrity, scalability, and performance across complex healthcare datasets. This position offers ...

IQVIA

Product Manager, IQVIA Digital

Durham, NC · Remote

$87K - $217K/yr

You'll collaborate with product managers, data scientists, and engineering teams to ensure data integrity, scalability, and performance across complex healthcare datasets. This position offers ...

RELIAS

Product Manager

Morrisville, NC · Hybrid

... data science * Professional development gained from conference attendance and participation in ... Contributing to improving product management best practices for Relias platform * Other duties as ...

Bertelsmann

Product Manager

Morrisville, NC · On-site

... data science * Professional development gained from conference attendance and participation in ... Product Manager will act as the leader of a cross-functional team consisting of Product, User ...

New

Deloitte

AI and Data Science Engineer III

Raleigh, NC

$111K - $133K/yr

As an AI Data Science Engineer III, you will work directly Human Capital product managers and clients to design and deliver data-driven workforce and human capital analytics solutions, owning end-to ...

DomainTools

Senior Product Manager

Raleigh, NC · On-site

$123K - $162K/yr

DomainTools is looking for a Sr. Product Manager, Data Products to join its Product team. Data is ... Experience interacting with customers who leverage data warehousing, data science, and Big Data ...

Apptad Inc

AI/ML Product Manager

Raleigh, NC · Remote

... Data Science to drive delivery Define measurement frameworks including campaign tracking, segmentation performance, and experimentation Required Qualifications 5 8+ years of Product Management ...

IQVIA

Product Manager, IQVIA Digital

Durham, NC · Remote

$87K - $217K/yr

You'll collaborate with product managers, data scientists, and engineering teams to ensure data integrity, scalability, and performance across complex healthcare datasets. This position offers ...

Deloitte

AI and Data Science Engineer III

Raleigh, NC · On-site +1

$111K - $133K/yr

Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ... This role is hands-on and delivery-oriented: you will ship production pipelines and services that ...

Elder Research

Data Scientist

Raleigh, NC · On-site +1

Lead Data Science Initiatives: Dive deep into complex and often nebulous requirements, applying ... manage production data pipelines. * Knowledge of CI/CD pipelines, version control (Git), and ...

Elder Research

Data Scientist

Raleigh, NC · On-site +1

Lead Data Science Initiatives: Dive deep into complex and often nebulous requirements, applying ... manage production data pipelines. * Knowledge of CI/CD pipelines, version control (Git), and ...

Elder Research

Data Scientist

Raleigh, NC · On-site

Lead Data Science Initiatives: Dive deep into complex and often nebulous requirements, applying ... manage production data pipelines. * Knowledge of CI/CD pipelines, version control (Git), and ...

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All 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 Jun 14, 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.

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 online courses or certifications can facilitate this shift.

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 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data science product managers often focus on identifying the most impactful features or data subsets to optimize model performance and resource allocation.

Is 30 too late for data science?

A Data Science Product Manager can enter the field at age 30, as many professionals transition into data roles later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and experience with tools like Python or SQL, regardless of age. Continuous learning and building a strong portfolio are key factors for career progression in data science.

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 into 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—combining technical expertise with communication and leadership skills can enable a data scientist to succeed as a product manager.
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
Product Manager

Product Manager

IQVIA

Durham, NC • Remote

$87K - $217K/yr

Full-time, Part-time

Posted 7 days ago

IQVIA rating

8.2

Company rating: 8.2 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

46th of 204 rated it services

Job description

Ready to shape the future of healthcare through data innovation? At IQVIA, we harness one of the world’s largest healthcare datasets to power transformative digital products and AI-driven solutions. As a Product Manager, you’ll play a pivotal role in building scalable data platforms that enable smarter decisions and better patient outcomes. Join a global leader with the entrepreneurial energy of a digital-first team—where your ideas matter and your impact is real.

Job Overview

As a Product Manager, you will design, build, and optimize data pipelines and architectures that enable cutting-edge digital products. You’ll collaborate with product managers, data scientists, and engineering teams to ensure data integrity, scalability, and performance across complex healthcare datasets. This position offers exposure to AI initiatives, big data technologies, and opportunities to influence product strategy in a dynamic, customer-centric environment. This role is fully remote (US-based) and requires working Eastern Standard Time hours.

Essential Functions

  • Develop and maintain robust, scalable data pipelines and ETL processes for large, complex datasets.
  • Optimize data workflows for performance, reliability, and cost efficiency.
  • Partner with product managers and stakeholders to translate business requirements into technical solutions.
  • Implement best practices for data governance, security, and compliance in a regulated environment.
  • Support AI-driven use cases and advanced analytics initiatives.
  • Troubleshoot and resolve data-related issues across multiple systems and platforms.

Qualifications

Required Skills:

  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • 5+ years of experience in data engineering or similar roles.
  • Strong proficiency in Python and SQL.
  • Hands-on experience with distributed data processing frameworks (e.g., Spark, Hadoop).
  • Expertise in cloud platforms (AWS, Azure, or GCP) and data warehousing solutions.
  • Solid understanding of data governance and security best practices.

Nice-to-Have Skills:

  • Experience with API integrations and microservices architecture.
  • Familiarity with AI/ML workflows and advanced analytics.
  • Background in healthcare data and regulatory compliance.
  • Knowledge of containerization (Docker, Kubernetes) and CI/CD pipelines.
IQVIA Digital powers exceptional brand experiences, delivering innovative solutions based on a customer-first, insights-driven, and integrated omnichannel vision. We provide authenticated, privacy-enhanced data and analytics, innovative fit-for-purpose healthcare technology, and the expertise to enable an effective and adaptable marketing model that drives better quality of care and patient outcomes. IQVIA is the leading global provider of data, advanced analytics, technology solutions and clinical research services for the life sciences industry.  Learn more at www.iqviadigital.com.

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com

IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.

The potential base pay range for this role, when annualized, is $87,000.00 - $217,600.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.

What IQVIA employees say

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About IQVIA

Sourced by ZipRecruiter

At IQVIA, we are passionate about helping customers and partners improve results and patient outcomes. Everything we do contributes to this vision for creating a healthier world. In today’s healthcare environment, it’s not only about how much data, information, and technology you have at your fingertips – it’s what you do with it. IQVIA is focused on making intelligent connections for customers across the entire healthcare ecosystem to help you drive healthcare forward. Whether that means partnering with novel technology companies to boost patient engagement, leveraging AI & machine learning to accelerate results, or using decentralized trials to reach the right patients wherever they are – we are always looking for smarter ways to move you forward.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Durham, NC, US

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