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Vp Data Science Jobs (NOW HIRING)

RWE

VP, Data & AI

Austin, TX · On-site

$275K - $360K/yr

Exempt The Vice President, Data & AI is the senior technical leader responsible for defining and ... Master's or PhD degree in computer science, data science, statistics, engineering, or a related ...

RWE

VP, Data & AI

Chicago, IL

$275K - $360K/yr

Exempt The Vice President, Data & AI is the senior technical leader responsible for defining and ... Master's or PhD degree in computer science, data science, statistics, engineering, or a related ...

RWE

VP, Data & AI

Austin, TX · On-site

Exempt The Vice President, Data & AI is the senior technical leader responsible for defining and ... Master's or PhD degree in computer science, data science, statistics, engineering, or a related ...

CRH

Vice President, Data & Analytics

Atlanta, GA · On-site

Vice President, Data & Analytics Architectural Products Group Atlanta, Georgia, United States Job ... data science. * Foster an agile, outcome-focused culture that can rapidly adapt to changing ...

RWE

VP, Data & AI

Austin, TX

Exempt The Vice President, Data & AI is the senior technical leader responsible for defining and ... Master's or PhD degree in computer science, data science, statistics, engineering, or a related ...

Fortitude Re

AVP, Data Solutions Engineering

Jersey City, NJ · Hybrid

$119.50K - $143.50K/yr

The Assistant Vice President, Data Solutions Engineering will be responsible for building ... What You Will Have: * Bachelor's degree in Math, Computer Science or Engineering. * Strong ...

NOV, Inc.

Senior Data Scientist

Houston, TX · On-site

Reports to: VP Data & Analytics As a Senior Data Scientist , you will: * Partner with business leaders to identify high-value opportunities in areas such as demand planning, capacity/production ...

Fortitude Re

AVP, Data Solutions Engineering

Nashville, TN · Hybrid

$110.60K - $132.80K/yr

The Assistant Vice President, Data Solutions Engineering will be responsible for building ... What You Will Have: * Bachelor's degree in Math, Computer Science or Engineering. * Minimum ...

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Vp Data Science information

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$41.5K

$142.5K

$201K

How much do vp data science jobs pay per year?

As of May 31, 2026, the average yearly pay for vp data science in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

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 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 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 cities are hiring for Vp Data Science jobs? Cities with the most Vp Data Science job openings:
What are the most commonly searched types of Data Science jobs? The most popular types of Data Science jobs are:
What states have the most Vp Data Science jobs? States with the most job openings for Vp Data Science jobs include:
What job categories do people searching Vp Data Science jobs look for? The top searched job categories for Vp Data Science jobs are:
Vp Data Science jobs near you
Infographic showing various Vp Data Science job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, and 99% Full Time. Highlights an 39% Physical, 55% Hybrid, and 6% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

Senior Vice President, Data Science & Analytics

Experian

Remote

$325K - $425K/yr

Full-time

PTO

Posted 17 days ago

Job description

Company Description
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.
We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.
We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com
Job Description
The Senior Vice President, Data Science & Analytics (North America) will have holistic responsibility for all data science and analytics functions of the Financial Services & Data business. The role reports directly to the Chief Product and Analytics Officer of Financial Services & Data, and is the catalyst for transformation within the business, helping to evolve the way Experian provides insights to support existing customers and drive innovation.
Our Financial Services & Data (FSD) business powers decisioning and innovation across the financial ecosystem. We partner with leading banks, fintechs, and capital markets firms to deliver trusted data, advanced analytics, and cloud-based software that help clients make smarter, faster, and more confident decisions.
This leader will direct the development of analytics, data science, research, and innovation strategies. The role blends strategic vision with hands-on expertise: defining how AI and analytics are used across our products, designing future-ready solutions aligned to business strategy, and balancing growth with risk.
We're looking for a leader with strong business and technical acumen, deep data and analytics expertise, and a proven ability to inspire teams, build trust with diverse stakeholders, and lead effective change in a large-scale, data-driven environment.
Key responsibilities of this role include:
  • Define and implement the Analytics strategy and communicate that strategy to company executives, external partners and customers.
  • Lead and inspire a team of data professionals who will create and develop a world class data capability
  • Implement models and ML/AI to fuel new product features, improve operational quality, and create a personalized experience for Experian's customers and partners.
  • Steward of data as a strategic business asset, revenue driver and source of risk mitigation for Experian
  • Identify trends and evolving user behavior that may support or impede our investments, and drive innovation that leverages key technology trends
  • Oversee the development of the requirements, principles, models and designs of data applications or use cases
  • Evaluate emerging trends such as big/open/linked data, ML/AI, and determine the impacts on the future-state enterprise data architecture.
  • Partner consultatively with leaders in product management, sales, marketing, technology, and delivery to provide analytics insights that improve efficiency and effectiveness.
  • Conduct research and case studies on our competitors' analytics and other relevant leading edge trends to make determinations on the probability of their usefulness
  • Contribute to the broader leadership agenda on an ongoing basis as a member of the business unit leadership team

Qualifications
Leadership Attributes
  • Proven track record of building a high-performance culture focused on quality and innovation
  • Able to lead several programs at once - setting priorities, collaborating cross-functionally, ensuring success metrics are informing future efforts, and quickly fine tuning the program as needed
  • Excellent decision-making, presentation skills and strong influencing skills to be able to interface and articulate our technical capabilities to our clients, and leadership
  • Outstanding intellectual acumen with a natural willingness to engage in constructive & transparent discussions, acting as a true thought partner to the Group President and peers
  • Ability to inspire others by actively communicating and motivating all levels of employees with vision, clear execution priorities & support of BU direction
  • Strategic thinker who can understand competitive context to drive positive current period results while investing for a better future

Education and Experience
  • Minimum of 15 years' experience in developing and leading business-driven data strategies and progressive management and leadership experience
  • Substantial depth of knowledge in Data Technology with a detailed understanding of the technology architecture, data development lifecycle and data tools and technologies.
  • Experience with advanced data analytics, predictive models, machine learning, and artificial intelligence.
  • Experience implementing data and platform strategies to deliver transformative evolution to the business
  • MBA or equivalent experience in Data Science, Analytics or other analogous fields

Additional Information
Benefits/Perks:
  • Comprehensive executive level total rewards package
  • Ability to work remotely in the US, hybrid, or in-office. #LI-Remote
  • Flexible time off including unlimited vacation, volunteer time off, and 12 paid holidays
  • Explore all our exciting benefits here: https://yourexperianbenefits.com/cand-index.html

At Experian, our people and culture set us apart. We're deeply committed to creating an environment where everyone feels they belong and can excel. From inclusion and authenticity to work/life balance, development, wellness, collaboration, and recognition, we focus on what truly matters. Our people-first approach has earned us global recognition: World's Best Workplacesâ„¢ 2024 (Fortune Top 25), Great Place To Workâ„¢ 2025 in 26 countries, and Glassdoor Best Places to Work 2024, among others.
Want to see what life at Experian is really like? Explore Experian Life on social or visit our Careers Site.
Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. This position is also eligible for a variable pay opportunity and a comprehensive benefits package.
Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. Innovation is an important part of Experian's DNA and practices, and our inclusive workforce allows everyone to succeed and bring their whole self to work. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

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