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Data Science Product Manager Jobs in Raleigh, NC

Lucid Software

Sr. Product Manager, AI

Raleigh, NC · On-site

$123K - $162K/yr

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

Lucid Software

Sr. Product Manager, AI

Raleigh, NC · On-site +1

$123K - $162K/yr

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

Peterson Ventures

Sr. Product Manager, AI

Raleigh, NC · On-site

$140 - $190/hr

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

Spgi

Vice President, Data Science

Raleigh, NC · On-site

$177K - $350K/yr

  • Medical

  • Retirement

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

  • Medical

  • Retirement

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 ...

Envestnet

Lead AI Quality Assurance Engineer

Raleigh, NC · Hybrid

$125K/yr

  • Medical

  • Retirement

  • PTO

Works with engineering, data science, product management, cybersecurity, legal and risk teams to validate AI-enabled products and operational processes. Continuously improves testing frameworks ...

New

Envestnet

Lead AI Quality Assurance Engineer

Raleigh, NC · Hybrid

  • Medical

  • Retirement

  • PTO

Works with engineering, data science, product management, cybersecurity, legal and risk teams to validate AI-enabled products and operational processes. Continuously improves testing frameworks ...

New

Relias US

Product Manager

Morrisville, NC · Hybrid

The Product Manager will act as the leader of a cross-functional team consisting of Product, User Experience, Engineering, and Data Scientists to solve Relias' business problems and deliver against ...

RIIASH LLC

AI / ML Product Manager

Raleigh, NC · On-site

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

Envestnet

Lead AI Quality Assurance Engineer

Raleigh, NC · Hybrid

  • Medical

  • Retirement

  • PTO

Works with engineering, data science, product management, cybersecurity, legal and risk teams to validate AI-enabled products and operational processes. Continuously improves testing frameworks ...

New

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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 Aug 17, 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.

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:

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 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $154,946 per year, or $74.5 per hour.

Manager, Data Science

McGough Construction

Raleigh, NC • On-site

Other

Re-posted 18 days ago

Job description

McGough is a respected partner that brings six generations of experience to high profile, unique and complex construction projects. We take great pride in our people and their extraordinary expertise in planning, development, construction and facility management. McGough employee tenure reflects the commitment and pride we share in our work. Ask anyone who knows us - the caliber of our people sets us apart.
MANAGER, DATA SCIENCE
The Manager of Data Science will build and lead a focused, high-impact team solving complex, high-value business problems through applied data science. This role defines how data science is used to improve how the business operates and makes decisions.
Operating in close partnership with business units, Central Analytics, and Data Engineering, this team functions as a high-leverage strike team, deploying into targeted, time-bound efforts (typically 8-24 weeks) to connect signals across the business and deliver measurable impact across cost, risk, and operational performance.
This role sets technical direction and ensures the team applies sound statistical and machine learning practices, while remaining grounded in real-world outcomes. The Manager is expected to stay hands-on, partially contributing to feature engineering, model development, evaluation, and production readiness to ensure solutions are not only technically sound, but usable and durable in practice.
Success in this role requires balancing analytical insight with operational reality, combining data with the experience and intuition of teams in the field to identify risks earlier, improve planning, and enable better decisions. This leadership role lives within the Digital Operations organization with responsibility for building and shaping the data science capability from the ground up as McGough continues to scale its investment in data, technology, and analytics.
QUALIFICATIONS:
Required:
  • Bachelor's degree in Data Science, Statistics, Mathematics, Engineering, or related field
  • 6-10+ years of experience in data science, advanced analytics, or applied modeling
  • Proven experience building statistical or machine learning models and delivering them in real-world business contexts with measurable outcomes
  • Strong programming experience in Python (or equivalent), including data manipulation, modeling, and evaluation
  • Experience leading or mentoring analytical teams
  • Experience working with version control (e.g., Git) and structured development practices
  • Strong communication skills translating technical outputs into business decisions

Preferred:
  • Master's degree in Data Science, Statistics, Mathematics, Engineering or related field.
  • Experience in complex operational environments (construction, manufacturing, logistics, etc.)
  • Experience selecting, building, and evaluating machine learning models across multiple problem types
  • Experience with optimization, simulation, or advanced forecasting
  • Familiarity with modern data platforms and engineering concepts
  • Experience applying machine learning in real-world business settings

Skills:
  • Strong problem structuring and analytical reasoning
  • Ability to operate effectively with incomplete or imperfect data
  • Experience with statistical modeling, machine learning, or optimization techniques
  • Experience with model validation, feature engineering, and performance evaluation
  • Ability to design reproducible analytical workflows and structured development practices
  • Strong Python or equivalent analytical tooling proficiency
  • Clear communication of complex concepts into actionable decisions
  • Ability to balance analytical rigor with practical application

CORE RESPONSIBLITIES:
Problem Framing & Solution Design
  • Translate loosely defined business challenges into structured analytical problems
  • Define success criteria tied to business decisions and measurable outcomes
  • Determine appropriate approaches including forecasting, optimization, or modeling
  • Identify key assumptions, constraints, and risks early

Advanced Analytics Delivery
  • Lead development of predictive models, scenario analysis, and decision frameworks
  • Guide team through ambiguous data environments without stalling on perfection
  • Ensure outputs are actionable, interpretable, and aligned to business use
  • Guide model evaluation, validation, and performance monitoring practices
  • Ensure models are designed for production use, including scalability, robustness, and maintainability
  • Accountable for the full analytical lifecycle from problem framing through model development, validation, deployment readiness, and post-deployment performance tracking
  • Ensure analytical outputs are reproducible, well-documented, and stable enough for business use beyond initial delivery

Operating Model & Intake Discipline
  • Define and enforce intake criteria focused on high-value, non-routine problems
  • Prioritize work based on business impact rather than request volume
  • Manage project-based work cycles (8-24 weeks) with clear start and end points
  • Ensure completed work is transitioned to BI, Data Engineering, or business teams for ongoing use

Model Development & Production Readiness
  • Guide development of models and analytical workflows that can be reused or extended beyond one-time analysis
  • Establish lightweight practices for versioning, validation, and documentation of analytical work
  • Ensure clear ownership and transition plans for models after delivery (handoff to BI, Data Engineering, or business teams)
  • Define when analytical solutions require further operationalization versus remaining project-based

Team Leadership
  • Build and lead a small team of advanced analysts or data scientists
  • Act as a player-coach, contributing directly to complex analytical work
  • Set standards for analytical rigor, clarity, and business relevance
  • Develop team capability in both technical and business-facing skills

Additional Responsibilities
  • Actively contribute as a member of the Digital Operations group, collaborating to support shared goals and objectives
  • Attend and participate in project management and other company meetings
  • Represent McGough professionally at all events, upholding company standards and serving as a positive ambassador
  • Attend company and team meetings, pursuing ongoing personal and professional development to enhance skills and performance
  • Collaborate across departments and with external stakeholders to ensure cohesive project execution
  • Actively support and participate in Lean events, promoting the McGough Way and fostering a culture of continuous improvement

OFFICE AND TRAVEL:
  • Position will be based in McGough's Raleigh, NC Office.
  • McGough supports a hybrid work schedule, with exact days and times defined by manager and team.
  • Travel is expected to be approximately 25% consisting of quarterly trips to McGough's headquarters for various training or team building activities. Additional travel to various national office locations may be required as determined by the individual and their manager.

PHYSICAL REQUIREMENTS:
The physical requirements listed here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Position involves sitting for extended periods of time at employee's workstation and during meetings as well as while traveling, either by plane or car. Employee needs to be able to lift to 20 pounds as frequently as needed to move objects; dexterity to write and manipulate computer keyboard and mouse; ability to hear and speak clearly; and ability to distinguish between colors on graphs and charts.
Employee may be required to visit construction jobsites which may expose the employee to dirt, dust, uneven surfaces, outdoor weather conditions and extreme temperatures.
Accessibility: If you need an accommodation as part of the employment process please contact Human Resources at
Email:
Equal Opportunity Employer, including disabled and veterans.
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