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Vice President 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 ...

New

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 ...

New

Banc of California

VP, Analytics Engineering

Durham, NC · On-site

$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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Vice President Data Science information

See Raleigh, NC salary details

$42.3K

$153.1K

$269.7K

How much do vice president data science jobs pay per year?

As of Sep 11, 2026, the average yearly pay for vice president data science in Raleigh, NC is $153,125.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,800.00 and $184,700.00 per year, depending on experience, location, and employer.

What does a vice president of data science do?

A Vice President of Data Science leads the data science division within an organization, overseeing teams that analyze large datasets to drive strategic business decisions. They are responsible for developing data-driven strategies, managing data science projects, and ensuring the alignment of analytics initiatives with the company’s goals. This executive role also involves collaborating with other leaders, mentoring data science teams, and staying updated on the latest technologies and trends in data science. Ultimately, the Vice President of Data Science ensures that the organization's data assets are leveraged to create measurable business value.

What does a vice president of data science do?

As vice president of data science, your responsibilities include targeting audiences through both online and offline data. You lead a team of analysts, manage client needs, and implement solutions to build brands. Predictive analytics is a large part of this job, as is the ability to create strong content based on data science. You use analytical data to develop a business model that reaches a broader audience. Other duties include providing thought leadership, anticipating project risks, and translating analytical science into actionable marketing campaigns. This role is almost always in-house.

What are the key skills and qualifications needed to thrive as a vice president of data science, and why are they important?

To thrive as a Vice President of Data Science, you need deep expertise in statistics, machine learning, and data analytics, typically supported by an advanced degree in a quantitative field and significant leadership experience. Familiarity with data platforms like Hadoop, Spark, and cloud-based analytics tools, as well as experience with programming languages such as Python or R, is crucial, along with certifications in data management or analytics. Strong strategic vision, communication, and team leadership skills distinguish top performers in this role. These skills and qualities drive innovation, enable data-driven decision-making, and ensure alignment with organizational goals.

What are some common challenges faced by a vice president of data science when scaling data teams across an organization?

A Vice President of Data Science often encounters challenges such as aligning data initiatives with business objectives, ensuring consistent data governance practices, and fostering effective collaboration between technical and non-technical teams. Balancing the need for rapid innovation with maintaining data quality and compliance can also be demanding. Additionally, scaling the team requires strong leadership skills to recruit, mentor, and retain top talent while promoting a culture of knowledge sharing and continuous learning.

What is the difference between Vice President Data Science vs Data Scientist?

AspectVice President Data ScienceData Scientist
Required CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in relevant field
Work EnvironmentExecutive leadership, strategic planningTechnical analysis, model development
Employer & Industry UsageCorporate, large organizations, tech, financeVaried industries, research labs, startups

The Vice President Data Science typically oversees data strategy and manages teams, requiring leadership and strategic skills. Data Scientists focus on building models and analyzing data. While both roles require strong technical skills, the VP role emphasizes management and vision, whereas Data Scientists are more hands-on with data analysis.

More about Vice President Data Science jobs

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 are popular job titles related to Vice President Data Science jobs in Raleigh, NC?

For Vice President Data Science jobs in Raleigh, NC, the most frequently searched job titles are:

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

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

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

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

Vice President Data Science jobs near you
Infographic showing various Vice President Data Science job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $153,125 per year, or $73.6 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 9 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


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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