Vice President of Data Science Jobs

Vice President of Data Science jobs are open across technology, financial services, healthcare, and retail, from director-level to C-suite adjacency, with specializations in machine learning platform strategy, applied AI, and enterprise analytics leadership. Find a role that fits below and apply directly.

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Overview

Open roles7
Top stateOhio
Top employerThermo Fisher Scientific
Top cityCincinnati, OH
Work type50% Remote
Top credentialMaster data management

Showing 5 of 7+ Vice President of Data Science jobs

VP, Medical Science & Strategy - Cardiovascular(Remote U.S)
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Added 5d ago
VP, Medical Science & Strategy - Cardiovascular(Remote U.S)
Thermo Fisher Scientific
Raleigh, North Carolina
Business Strategy
Executive Leadership & C-Suite
Product Management
Remote (US)
10,000+

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VP of AI, Data and Data Science
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Added 2w ago
VP of AI, Data and Data Science
Sims Limited
Remote
Logistics & Fleet Management
Procurement & Supply Chain
Supply Chain
$272k - $350k/yr
Master data management
5,001-10,000

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VP, Science Medicine and Public Health (Hybrid)
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Added 2w ago
VP, Science Medicine and Public Health (Hybrid)
American Medical Association (AMA)
Chicago, Illinois
Business Development
Partnerships & Business Development
Sales
$348k - $470k/yr
Hybrid
1,001-5,000

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VP Global Data Science & AI
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Added 2w ago
VP Global Data Science & AI
Valvoline Global Operations
Cincinnati, Ohio
Backend Engineering
Full-stack Engineering
Software Engineering
Master's degree in business administration
1,001-5,000

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VP Marketing Data Science
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Added 3w ago
VP Marketing Data Science
Citi
New York, New York
Business Strategy
Executive Leadership & C-Suite
Product Management
$130k - $195k/yr
Hybrid
Bachelor's degree in statistics
10,000+

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Vice President of Data Science Jobs by Experience Level

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Vice President of Data Science Job Market

Who's Hiring

Thermo Fisher Scientific2 open roles
Citi1 open role
Openly1 open role

What Employers Look For

The qualifications that appear most often in vice president of data science jobs.

  • 10 or more years of data science or machine learning experience with at least 3 years in a people management role
  • Demonstrated ability to build, scale, and lead data science teams of 10 or more individuals
  • Advanced degree in statistics, computer science, mathematics, or a closely related quantitative field
  • Proficiency in Python and SQL with hands-on experience deploying machine learning models to production
  • Experience partnering with C-suite stakeholders to translate business strategy into data science roadmaps
  • Familiarity with cloud data platforms such as AWS, Google Cloud, or Azure and modern MLOps tooling

Tips for Your Vice President of Data Science Job Search

Quantify the business outcomes you drove

VP-level hiring committees care less about model accuracy and more about revenue impact, cost reduction, or risk mitigation your data science org delivered. Lead each resume bullet with a dollar or percentage outcome tied to a decision you owned, not a technique you used.

Show your org-building and cross-functional record

Hiring panels for this role almost always probe how you built, structured, or scaled a team. Your resume should name the team size you managed and the cross-functional partners you aligned with, whether that was product, engineering, finance, or clinical leadership.

Apply early to roles that fit

Migrate Mate lists vice president of data science openings from across the United States in one place, so you can find roles that match and apply directly to each listing.

Target postings that match your domain depth

A VP of Data Science at a healthcare insurer and one at a fintech lender solve fundamentally different problems. Filter your search by industry and read the business context in each posting carefully before applying so your cover materials speak directly to that domain.

Prepare a data strategy narrative for interviews

Most final-round interviews for this role include a presentation to a C-suite or board audience. Have a crisp 15-minute narrative ready that covers how you assess data maturity, prioritize use cases, and measure the value your team creates for the business.

Negotiate scope before negotiating compensation

Before discussing pay, clarify reporting structure, data engineering ownership, budget authority, and whether a data platform team is in scope. Scope determines long-term leverage and career trajectory at this level, and misaligned expectations are the most common reason VP hires fail in year one.

Vice President of Data Science Jobs: Frequently Asked Questions

Which companies are hiring the most vice president of data sciences?

The companies hiring the most vice president of data sciences right now include Thermo Fisher Scientific, Citi, and Openly, with the largest share of openings in Ohio, Illinois, and New York, based on current listings on Migrate Mate as of November 2026. Financial services, healthcare technology, and large consumer technology companies tend to post these roles most frequently year-round.

How many vice president of data science jobs are remote?

About 100% of vice president of data science openings are fully remote or hybrid as of November 2026, reflecting the seniority and strategic nature of the role. Sub-specializations focused on platform strategy, MLOps leadership, and enterprise analytics tend to offer more location flexibility than roles requiring close coordination with on-site product or clinical teams.

How do you become a vice president of data science?

Most vice presidents of data science move into the role after progressing from individual contributor data scientist to senior data scientist, then to a manager or director position where they own a team and a product-facing roadmap. Building a record of cross-functional influence, hiring strong teams, and tying data science outputs to business outcomes is what separates candidates who reach this level from those who plateau at director.

Can you get hired as a vice president of data science without prior VP experience?

Yes, candidates who have been strong directors with broad scope often move directly into VP roles, particularly at companies scaling their data function for the first time. The most effective path is to take on work at your current level that mirrors VP responsibilities, such as owning a multi-team roadmap, presenting to executives, and leading hiring decisions, so your experience matches the role's actual demands even if your title does not yet.

What does the vice president of data science interview process look like?

The process typically starts with a recruiter screen, followed by a technical conversation with a chief data officer or peer VP, then a series of behavioral interviews with cross-functional leaders in product, engineering, and finance. Most processes end with an executive presentation where you walk a panel through how you would assess the company's data science maturity and build a roadmap for the first year. The full process usually runs across multiple weeks and rounds.

Where can I find and apply to vice president of data science jobs?

You can find and apply to vice president of data science jobs on Migrate Mate, which lists current openings from companies across the United States. Find roles that match your background and apply directly to each listing from the page.

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