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Data Science Product Manager Jobs in Raleigh, NC

Lucid Software

Product Manager, AI

Raleigh, NC · On-site

We are looking for a Product Manager to help us take our products to the next level by leveraging ... Proven ability to build strong partnerships across Engineering, Design, Data Science, Product, and ...

Lucid Software

Product Manager, AI

Raleigh, NC · On-site +1

We are looking for a Product Manager to help us take our products to the next level by leveraging ... Proven ability to build strong partnerships across Engineering, Design, Data Science, Product, and ...

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 ...

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 ...

Compunnel

Data Science-II

Raleigh, NC · On-site

Job Summary We are seeking a Senior Data Scientist II with 10-12+ years of total experience and at ... The candidate will contribute to customer-facing products and work closely with Machine Learning ...

Sas

Product Manager- Data Acceleration

Cary, NC · On-site

$125 - $150/hr

Product Manager- Data Acceleration- Hybrid, Cary, North Carolina We're a leader in data and AI ... Bachelor's degree or higher, preferably in data science, computer science, or a related ...

SAS

Product Manager- Data Acceleration

Cary, NC · On-site

Product Manager- Data Acceleration- Hybrid, Cary, North Carolina We're a leader in data and AI ... Bachelor's degree or higher, preferably in data science, computer science, or a related ...

SAS

Product Manager- Data Acceleration

Cary, NC · On-site +1

Product Manager- Data Acceleration- Hybrid, Cary, North Carolina We're a leader in data and AI ... Bachelor's degree or higher, preferably in data science, computer science, or a related ...

NC State University

Data Science Lead

Raleigh, NC · On-site

$100 - $125/hr

... products and services that provide actionable insights, drive strategic decision-making, and ... staff, managing performance, and supporting a collaborative environment focused on continuous ...

New

NCSU

Data Science Lead

Raleigh, NC

... products and services that provide actionable insights, drive strategic decision-making, and ... staff, managing performance, and supporting a collaborative environment focused on continuous ...

Siemens

Senior Product Manager, AI

Raleigh, NC · On-site

$123K - $162K/yr

Working across product management, engineering, data science, customer success, and executive leadership, you will turn AI opportunities into measurable business outcomes and customer value. This ...

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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

$154.9K

$191.5K

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

As of Sep 8, 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.

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 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 August 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $154,954 per year, or $74.5 per hour.

Product Manager, AI

Lucid Software

Raleigh, NC • On-site

Full-time

Re-posted 15 days ago

Job description

Lucid Software is the leader in visual collaboration, helping teams see and build the future from idea to reality. Our products, business, and workplace culture have received numerous awards, such as being named to the Forbes Cloud 100 and a Fortune Best Workplace in Technology. Lucid is a hybrid workplace, allowing employees to work remotely, from one of our offices, or a combination of the two depending on the needs of the role and team. At Lucid, we hold true to our core values of teamwork over ego, innovation in everything we do, individual empowerment, initiative, and ownership, and passion and excellence in every area. We value diversity and are dedicated to creating an environment that is respectful and inclusive for everyone.
We are looking for a Product Manager to help us take our products to the next level by leveraging cutting-edge Artificial Intelligence. Are you a natural leader and a great teammate? Do you have a passion for elegant solutions, user experiences, and the massive potential of Generative AI? Are you drawn to work that is different every single day? If this is you, let's talk!
This PM will join a team focused on innovation and new product discovery, particularly in the area of emerging technology and AI. You will be joining a vibrant team of PM's that work on a variety of projects including bringing Lucid's Collaborative AI products, agentic workflows, and canvas-native generative features to market; rapid prototyping and derisking for new, visual-first experiences; and continuing to build out the underlying innovative technical AI platform that makes it all possible. On that team, you'll lead our AI platform and evaluation in partnership with our AI leadership group.
Responsibilities:
  • Partner with product teams to identify, test, and de-risk new AI capabilities, rapidly validating customer value through prototypes, experiments, and iterative learning.
  • Help shape how Lucid builds AI products by improving our product development process, evaluation strategy, and experimentation practices to support fast, high-confidence decision making.
  • Stay at the forefront of modern AI, agentic systems, and developer tooling, bringing new technologies and approaches into product strategy where they create meaningful customer value.
  • Develop deep customer expertise by understanding how people think, collaborate, and solve problems visually, then translate those insights into AI experiences that feel natural, useful, and trustworthy.
  • Own AI platform capabilities & Evals from strategy through launch, working closely with Engineering, Design, Data Science, and Product teams to deliver scalable foundations that enable innovation across the organization.
Requirements:
  • 4+ years of product management experience building successful B2B SaaS products, with a track record of leading complex, cross-functional initiatives from concept through launch.
  • Experience bringing agentic AI products and capabilities to market, operating in fast-moving, ambiguous environments where customer needs, models, and technology evolve rapidly.
  • Strong understanding of modern AI systems, including agent architectures, tool use, retrieval-augmented generation (RAG), AI evaluations, and the tradeoffs between quality, latency, reliability, and cost.
  • Exceptional product judgment, with the ability to identify emerging technology opportunities, prioritize customer problems, and influence technical and business stakeholders across the organization.
  • Proven ability to build strong partnerships across Engineering, Design, Data Science, Product, and Go-to-Market teams to deliver high-impact customer experiences.
Preferred Qualifications:
  • Direct experience leading innovation or new product discovery teams, especially in the areas of rapid learning, AI iteration, and derisking non-deterministic features
  • Experience with visual collaboration, spatial computing, or digital whiteboarding platforms
  • Experience mentoring other PMs on AI product lifecycle best practices

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