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Vp Data Science Jobs in Virginia (NOW HIRING)

Job Summary The Vice President(VP), - Data Center Services(DCS) will play a key leadership role in ensuring the successful sourcing and delivery of complex infrastructure projects within the data ...

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Vp Data Science information

See Virginia salary details

$41.1K

$141.2K

$199.3K

How much do vp data science jobs pay per year?

As of Jul 5, 2026, the average yearly pay for vp data science in Virginia is $141,238.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,500.00 and $165,100.00 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 Virginia? The most popular types of Data Science jobs in Virginia are:
What are popular job titles related to Vp Data Science jobs in Virginia? For Vp Data Science jobs in Virginia, the most frequently searched job titles are:
What cities in Virginia are hiring for Vp Data Science jobs? Cities in Virginia with the most Vp Data Science job openings:
Infographic showing various Vp Data Science job openings in Virginia as of June 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $141,238 per year, or $67.9 per hour.
VP, Data Analytics and Insights

VP, Data Analytics and Insights

Five Guys

Alexandria, VA • On-site

Full-time

Posted 18 days ago


Five Guys rating

6.3

Company rating: 6.3 out of 10

Based on 378 frontline employees who took The Breakroom Quiz

13th of 104 rated fast food restaurants


Job description

Based at our office in Alexandria, VA, the Vice President – Data Analytics and Insights is a senior executive responsible for building and leading Five Guys’ enterprise analytics capability. This new role owns the strategy, team, and delivery of Business Intelligence and Reporting, Pricing and Revenue Management, Advanced Analytics and Data Science, Business Analytics, and Consumer Insights across all channels for both Company and Franchise restaurants. The VP serves as the organization’s central authority on data-driven decision-making. The role partners with Marketing, Operations, Digital, Finance, IT, Supply Chain, and Franchisees to deliver actionable insights that drive profitable growth, optimize pricing, deepen guest understanding, and improve operational performance system-wide. The VP will build a high-performing, analytically rigorous team and foster a culture where data underpins every major commercial and operational decision.

Essential Duties and Responsibilities:

Provide analytical support to Marketing, Operations, Digital, and Finance teams for key questions regarding overall business performance 

Lead the development of test-and-learn frameworks, including experiment design, control group methodology, and statistical significance standards, to enable disciplined innovation across the business.

Conduct ad-hoc deep-dive analyses to answer critical business questions and support strategic planning, annual budgeting, and new-initiative business cases.

Define, govern, and evolve Five Guys’ enterprise BI and reporting strategy, including platforms, dashboards, and self-service tools, ensuring accurate, timely insights for executives, functional leaders, and field operations.

Partner with IT to ensure data infrastructure, warehousing, and pipelines are scalable, reliable, and aligned with current and future analytics needs.

Own Five Guys’ enterprise pricing strategy, developing pricing models and elasticity analyses to guide menu, promotional, delivery, and marketspecific pricing decisions.

Collaborate with Finance, Supply Chain, and Operations to assess margin impacts, vendor cost changes, and new menu initiatives, supported by a clear pricing governance framework.

Own the consumer insights function, leading qualitative and quantitative research programs (brand tracking, guest satisfaction surveys, concept testing, segmentation studies, and ethnographic/in restaurant research) to build a deep, actionable understanding of Five Guys guests and prospects.

Serve as the “voice of the guest” across the organization, synthesizing research findings into clear
narratives that inform brand strategy, menu innovation, marketing campaigns, and guest experience
improvements.

Manage relationships with external research vendors and syndicated data providers (e.g.,
Technomic, NPD / CREST, Placer.ai, or similar) and ensure the organization has access to the
competitive and industry intelligence it needs.


Build and lead the data science function, developing predictive and prescriptive models that drive
measurable business outcomes in areas such as demand forecasting, labor optimization, menu mix
optimization, guest lifetime value, churn prediction, and site selection.


Identify and prioritize high-impact analytics use cases across the business; develop a roadmap for
model development, testing, deployment, and ongoing refinement.


Build, lead, and develop a high-performing analytics organization spanning multiple disciplines (BI,
pricing, data science, business analytics, and consumer insights), attracting and retaining top talent
in a competitive market.


Establish clear team goals and performance metrics tied to business outcomes, and manage
departmental budgets including headcount, technology, vendor, and research spend.

Qualifications Guidelines:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.
The requirements listed below are representative of the knowledge, skill, and/or ability required.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential
functions.


Education/Experience:
Bachelor’s degree in a quantitative or business-related field required; advanced degree (MBA, M.S.,
or Ph.D.) strongly preferred.
10+ years of progressive experience in analytics, data science, pricing, consumer insights, or
business intelligence, including senior leadership of multidisciplinary teams.
Experience in multiunit, franchise, or consumerdriven industries strongly preferred.

Language Ability:
Exceptional verbal and written communication skills, with the ability to translate complex analytical findings
into clear, actionable insights for executive leadership, franchise partners, and cross-functional
stakeholders.


Math Ability:
This position requires advanced business math skills.


Reasoning Ability:
The position requires exceptional analytical reasoning, intellectual curiosity, and strategic judgment. The
successful candidate will navigate ambiguity across a wide range of business problems, synthesize data
from disparate sources (POS, digital platforms, third-party marketplace data, survey research, syndicated
industry data, and financial systems), and make sound recommendations that balance short-term
performance with long-term brand and business health. Must be comfortable challenging conventional
thinking with evidence-based perspectives and managing the inherent tension between analytical precision
and the speed required in a fast-paced restaurant environment.


Computer Skills:
Excellent personal computer literacy is required, with proficiency in Word, Excel, PowerPoint, Internet, and
other appropriate software. Strong familiarity with BI, data visualization, data warehousing, and analytics
platforms, (e.g., Tableau, Power BI, Looker, or similar) with experience overseeing enterprise analytics
tools, data pipelines, and model development. (e.g., Snowflake, Databricks, BigQuery, or similar).


Supervisory Responsibilities:
This position has supervisory responsibilities.


Physical Demands:
This position may require extended periods of sitting and the use of office equipment and computers.
Occasional travel to restaurant locations, franchise partner meetings, vendor offices, research facilities,
and industry conferences will be required; travel is estimated at 15–25% annually, with peak periods
around strategic planning cycles, franchise conventions, and major research initiatives.
The above job description is not intended to be an all-inclusive list of duties and standards of the position.
Incumbents will follow any other instructions, and perform any other related duties, as assigned by their
supervisor, policy and company management.


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