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Vp Data Science Jobs in Raleigh, NC (NOW HIRING)

DAN

Vice President of Research

Durham, NC · On-site

$180K - $200K/yr

DIVERS ALERT NETWORK - VP RESEARCH Position Title Vice President of Research Department Research ... scientific quality, ethics, data, and compliance, external partnerships, funding, and ...

DAN

Vice President of Research

Durham, NC · On-site +1

DIVERS ALERT NETWORK - VP RESEARCH Position Title Vice President of Research Department Research ... scientific quality, ethics, data, and compliance, external partnerships, funding, and ...

Banc of California

VP, Analytics Engineering

Durham, NC

$173K - $224K/yr

Reporting to the VP, Data Engineering & Delivery Manager, this hands-on, player-coach leadership ... Bachelor's degree in Computer Science, Information Technology, Information Systems, Data ...

PerkinElmer

VP, Client Solutions

Raleigh, NC · On-site

$134K - $172K/yr

With over an 80+ year legacy of advancing science and a mission of innovating for a healthier world ... Maintain accurate, real-time pipeline data within Salesforce CRM, including opportunity stage ...

PerkinElmer

VP, Client Solutions

Raleigh, NC · Remote

$134K - $172K/yr

With over an 80+ year legacy of advancing science and a mission of innovating for a healthier world ... Maintain accurate, real-time pipeline data within Salesforce CRM, including opportunity stage ...

Quest Resource LLC.

Vice President Sales

Raleigh, NC · On-site

... life sciences, and government facilities. As one of the Top 10 Steelcase dealers in the U.S., we ... Strategic thinker with analytical and data-driven decision-making ability. * Proficient in CRM ...

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Showing results 1-20

All JobsVp Data Science JobsVp Data Science Jobs in Raleigh, NC

Vp Data Science information

See Raleigh, NC salary details

$40.3K

$138.5K

$195.4K

How much do vp data science jobs pay per year?

As of Sep 14, 2026, the average yearly pay for vp data science in Raleigh, NC is $138,475.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,200.00 and $161,800.00 per year, depending on experience, location, and employer.

What does a VP of Data Science do?

A VP of Data Science leads and manages the data science team within an organization, setting the strategic vision for how data is used to drive business decisions. They oversee the development and implementation of data-driven solutions, ensure data quality and integrity, and collaborate with other executives to align data initiatives with company goals. Additionally, they mentor data scientists, manage budgets, and stay updated on the latest trends and tools in data science to keep their teams competitive.

What are the key skills and qualifications needed to thrive as a VP of Data Science?

To thrive as a VP of Data Science, you need advanced expertise in statistical analysis, machine learning, and big data, usually supported by a graduate degree in a quantitative field and extensive industry experience. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and data visualization systems, as well as experience managing enterprise data architectures, is crucial. Exceptional leadership, strategic thinking, and communication skills set top candidates apart in this role. These abilities are essential for guiding teams, influencing business decisions, and driving impactful data-driven strategies across the organization.

How does a VP of Data Science typically collaborate with cross-functional teams to drive business outcomes?

A VP of Data Science frequently works with product managers, engineering teams, and business stakeholders to align data initiatives with organizational goals. They play a strategic role in translating business challenges into data-driven solutions, ensuring that data science projects support decision-making and growth. Effective collaboration involves regular meetings, clear communication of technical concepts to non-technical audiences, and fostering a culture of data literacy across the organization. By bridging technical expertise and business acumen, the VP helps maximize the impact of data science initiatives.

What is the difference between Vp Data Science vs Data Science Manager?

AspectVp Data ScienceData Science Manager
ResponsibilitiesStrategic leadership, setting data science vision, overseeing multiple teamsManaging data science projects, team supervision, project delivery
Required CredentialsAdvanced degree (Master's/PhD), extensive experience, leadership skillsDegree in related field, experience in managing data projects
Work EnvironmentExecutive-level, cross-departmental collaboration, strategic planningTeam management, project-focused, collaborative with data teams

The Vp Data Science typically holds a strategic, leadership role overseeing multiple teams and setting long-term data initiatives, while a Data Science Manager focuses on managing data projects and teams directly involved in execution. Both roles require strong technical backgrounds, but the Vp is more involved in high-level planning and organizational strategy.

What are the most commonly searched types of Data Science jobs in Raleigh, NC?

The most popular types of Data Science jobs in Raleigh, NC are:

What job categories do people searching Vp Data Science jobs in Raleigh, NC look for?

The top searched job categories for Vp Data Science jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Vp Data Science jobs?

Cities near Raleigh, NC with the most Vp Data Science job openings:

Vp Data Science jobs near you
Infographic showing various Vp Data Science job openings in Raleigh, NC as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 78% Full Time, 14% Part Time, and 6% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $138,475 per year, or $66.6 per hour.

Vice President, Data Science

Durham, NC • On-site

Fidelity Investments
Investment Management and Consulting Services • 10K+ employees
Learn more about Fidelity Investmentsexternal

Full-time

Posted 10 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 274 frontline employees who took The Breakroom Quiz

Job description


Note: Fidelity will not provide immigration sponsorship for this position.
The Purpose of Your Role
Fidelity Workplace Investing is seeking an experienced Data Science leader to lead a team focused on powering intelligent, personalized digital experiences for our customers. This role will partner closely with product, engineering, design, and business leaders to identify high-value opportunities and deliver AI-powered solutions that drive meaningful customer and business outcomes.
As team leader, you will be responsible for advancing our AI strategy in this area, developing and implementing best practices, delivering machine learning and generative AI capabilities, and enabling the responsible adoption of emerging AI technologies. You will lead a highly skilled team of data scientists through the full AI lifecycle-from experimentation and model development to deployment, monitoring, governance, and continuous optimization.
The ideal candidate combines deep technical expertise with strong business acumen and has experience delivering AI solutions at scale. This includes personalization, predictive modeling, recommendation systems, large language models (LLMs), agentic AI systems, and responsible AI practices. You will consult with business leaders to help ideate and shape the next generation of Fidelity's personalized experiences.
The Skills You Bring
  • People management: Proven ability to mentor and coach data scientists on project delivery and long-term skill development.
  • Stakeholder and relationship management: Strong ability to translate business opportunities into AI-driven solutions that deliver measurable outcomes.
  • Cross-functional Collaboration: Partner with executive leadership, product, and engineering teams to integrate AI models into customer-facing products
  • Written and verbal communication skills: Ability to communicate complex AI concepts, risks, and opportunities to both technical and non-technical audiences.
  • AI Development: Expertise across the AI/ML lifecycle, including experimentation, feature engineering, model development, deployment, measurement, monitoring, and governance.
  • Modeling: Deep understanding of statistics, predictive modeling, recommendation systems, experimentation, causal inference, and optimization techniques.
  • GenAI: Experience evaluating, deploying, and governing generative AI solutions, including large language models, retrieval-augmented generation (RAG), AI agents, and multimodal AI systems.
  • Tools: Strong proficiency in Python, SQL, MLOps, and modern AI/ML development frameworks (e.g. AWS Sagemaker).
  • undefined
Education and Experience
  • Master's or PhD in Computer Science, Data Science, Statistics, Applied Mathematics, Engineering, or a related quantitative discipline.
  • 12 years of experience in artificial intelligence, machine learning, advanced analytics, data science, or related fields.
  • Significant experience leading teams, programs, and organizational AI initiatives.

How Your Work Impacts the Organization
AI is transforming how customers engage with their financial future. Your team will shape and scale the intelligent experiences that power Workplace Investing's digital platforms, combining machine learning, generative AI, and personalization capabilities to deliver timely, relevant guidance at moments that matter most. Through these innovations, you will help millions of participants build confidence, improve financial well-being, and achieve better retirement outcomes.
Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
Certifications:
Category:
Data Analytics and Insights
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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