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

Vice President of Data Analytics- Hybrid | Cary, North Carolina We're a leader in data and AI ... Bachelor's or Master's degree in a relevant field (e.g., Computer Science, Data Science, Business ...

Position Title: SVP, Operations Reporting to: Chief Operating Officer Location: Strong preference ... Data Science, Product, etc.) to resolve; ongoing communication of status updates with impacted ...

Pioneering science to create transformative molecular medicines. Our mission: Lead innovative ... KOLs, Data Monitoring Committee (DMC), advisory boards, patient advocacy groups) * Work ...

Pioneering science to create transformative molecular medicines. Our mission: Lead innovative ... KOLs, Data Monitoring Committee (DMC), advisory boards, patient advocacy groups) * Work ...

Vice President, Client Success

Chapel Hill, NC · On-site +1

$220K - $250K/yr

... science to reduce costs, improve outcomes, and create resilient, thriving workforces. We partner ... Deeply data-driven with the ability to translate complex health engagement metrics into compelling ...

Assistant Vice President

Cary, NC · On-site

$131K - $165K/yr

Requires a Bachelor's degree in Computer Science, Computer Engineering, or related field or ... data changes, leveraging end-to-end application support processes, escalation protocols, and ...

... 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 ...

... 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 ...

Vice President of IT

Durham, NC · On-site

$151K - $189K/yr

Data center, network, and cloud infrastructure * Endpoint support for clinical and corporate teams ... A bachelor's degree in Information Technology, Computer Science, or a related field is required ; a ...

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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 Jul 10, 2026, the average yearly pay for vp data science in Raleigh, NC is $138,471.00, 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, and why are they important?

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 are popular job titles related to Vp Data Science jobs in Raleigh, NC? For Vp Data Science jobs in Raleigh, NC, the most frequently searched job titles 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:
Infographic showing various Vp Data Science job openings in Raleigh, NC as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $138,471 per year, or $66.6 per hour.
Vice President, GenAI Technology

Vice President, GenAI Technology

Fidelity Investments

Durham, NC

$140K/yr

Full-time

Medical, Retirement, PTO

Posted 16 days ago


Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 266 frontline employees who took The Breakroom Quiz

16th of 146 rated financial services


Job description

Job Description:

VP, DATA SCIENCE - GenAI Technology

Note: Fidelity will not provide immigration sponsorship for this position

The Role

This is an individual contributor data science (with a focus on GenAI) role. The Applied GenAI Technology team within Fidelity's Asset Management Technology is looking for a motivated data scientist with proven experience in GenAI-related projects, machine learning, and data science. In this role, the individual leads GenAI projects with diverse scope and complex business and technical challenges. Coordinates with senior business and technology partners to develop solutions to the most complex business analytical needs. Oversees end-to-end process to push code from research to production. Delivers results with clear and measurable impact to the business. Consults with senior business and technology partners to identify priorities and establish analytic goals, as well as form alignment on next steps. Executes on direction for data identification, collection and qualification activities. Presents reports and findings to senior technical and non-technical audiences. Enjoys collaboration and revels in working as part of a team to solve deep applied problems. Able to execute on multiple initiatives in parallel. Plays an active mentorship role to others in the team.

You will have:

  • PhD or Master's in Data Science, Computer Science, Statistics, Physics, or Finance (with a background in Statistics), with 7 plus years of industrial experience.
  • Experience working with LLMs for solving data science problems, information retrieval applications, clustering, and coding; emphasis on putting (or working with) LLM-based applications in production
  • Experience working and closely collaborating with an Engineering team, sharing best development practices under a common goal of shipping reliable software
  • Deep expertise in Python, as well as data-centric techniques including engineering principles for building efficient inference tools
  • Experience taking an application from research to production and realizing measurable value from it to the team or firm
  • Ability to work on and drive progress for multiple projects or initiatives at the same time
  • Experience guiding business on identifying AI/ML use cases and optimally contributing to brainstorming sessions or consulting sessions
  • Desires to create a climate that values and rewards contributions, drive, ownership, initiative, and achievement of results
  • Excellent planning, project management, communication, leadership, and research skills
  • Experience communicating results to business stakeholders with a focus on clear, concise, and understandable delivery including conveying statistical findings through data visualizations
  • Enthusiasm for learning new skills and domains, including applying state-of-the-art ML research and LLMs to real-world data challenges

The Team

We are a GenAI technology team within the Quantitative Research and Investment Technology division in the Asset Management vertical. We partner with investment professionals, portfolio managers, analysts, quants, traders, and other technology teams to build AI/ML and LLM-based solutions that provide insight and drive measurable value. We focus on applied problems that can be taken from the exploratory phase all the way to production. We enjoy learning new skills and appreciate the challenges that come from working with state of the art AI models in a rapidly evolving space.

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.

The base salary range for this position is $140,000-285,000 USD per year.

Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors.

Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.

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.

Certifications:Category:Data Analytics and Insights

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