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Vp Data Science Ai Jobs (NOW HIRING)

Burson

Vice President, Data Science

New York, NY · On-site

Burson is seeking a Vice President, Data Science to join our Insights & Intelligence (I&I) team ... This is an opportunity to operate at the intersection of data, technology, AI, and communications ...

Burson

Vice President, Data Science

New York, NY · On-site

Burson is seeking a Vice President, Data Science to join our Insights & Intelligence (I&I) team ... This is an opportunity to operate at the intersection of data, technology, AI, and communications ...

Countryway Insurance Co.

$228K - $240K/yr

Vice President, Data & AI STATUS: Exempt COMPENSATION RANGE: $228,000 - $240,000 Annually with up ... Bachelor's degree in Information Technology, Computer Science, Engineering, Data Science, or a ...

Virginia Farm Bureau

Vice President, Data & AI

Henrico, VA · On-site

$228K - $240K/yr

Vice President, Data & AI STATUS: Exempt COMPENSATION RANGE: $228,000 - $240,000 Annually with up ... Bachelor's degree in Information Technology, Computer Science, Engineering, Data Science, or a ...

Five9

Vice President, Data Science

OR · On-site +1

As Vice President of Data Science, you will lead and grow our in-house data science team. This team ... As an expert in the leading edge of AI and data science, you will direct the team on the ...

Five9

Vice President, Data Science

As Vice President of Data Science, you will lead and grow our in-house data science team. This team ... As an expert in the leading edge of AI and data science, you will direct the team on the ...

IMG Academy

VP, Data

Bradenton, FL · On-site

$125K - $160K/yr

Data Science & Analytics: Responsible for advanced analytics, machine learning, and applied data ... AI/ML. Team Leadership and Development * Build and scale a high-performing team of ~25FTEs and ...

Five9

Vice President, Data Science

San Ramon, CA · On-site

As Vice President of Data Science, you will lead and grow our in-house data science team. This team ... As an expert in the leading edge of AI and data science, you will direct the team on the ...

Invitation Homes LP

VP, Data Science

Dallas, TX · On-site

What you'll do day-to-day The Vice President, Data Science will lead Invitation Homes' data science ... Evaluate and responsibly adopt emerging capabilities, including generative AI, where they create ...

Invitation Homes LP

What you'll do day-to-day The Vice President, Data Science will lead Invitation Homes' data science ... Evaluate and responsibly adopt emerging capabilities, including generative AI, where they create ...

Chubb

VP, Data Science - Cohort Modeling

Jersey City, NJ · On-site

$163K - $237K/yr

The Vice President, Data Scientist will serve on Chubb's Global Analytics Risk Cohorts team ... Enhance and implement AI-enabled pricing processes and pricing frameworks for commercial insurance.

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Vp Data Science Ai information

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$142.5K

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How much do vp data science ai jobs pay per year?

As of Sep 9, 2026, the average yearly pay for vp data science ai 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 does a VP of Data Science & AI do?

A VP of Data Science and AI leads teams responsible for developing and deploying machine learning and artificial intelligence solutions across an organization. They set the vision and strategy for data-driven initiatives, oversee research and development, and ensure that projects align with business goals. This role also involves collaborating with other executives, managing budgets, mentoring teams, and helping the organization stay at the forefront of AI and data science advancements.

How does a VP of Data Science & AI typically balance strategic leadership with hands-on technical involvement?

As a VP of Data Science & AI, you are expected to shape the overall vision for AI initiatives while also ensuring the technical quality of the team’s work. This often means dividing your time between high-level strategy meetings, stakeholder engagement, and reviewing project roadmaps, as well as occasionally diving into technical discussions or code reviews when critical decisions need your expertise. You’ll work closely with cross-functional leaders in engineering, product, and business units to align AI solutions with organizational goals. While direct coding is less frequent, maintaining a strong understanding of current AI technologies and guiding technical standards are essential to the role.

What are the key skills and qualifications needed to thrive as a VP of Data Science & AI, and why are they important?

To excel as a VP of Data Science & AI, you need deep expertise in machine learning, data analytics, and statistical modeling, usually backed by an advanced degree in a quantitative field and significant industry experience. Familiarity with technologies such as Python, R, cloud platforms (AWS, Azure), and tools like TensorFlow or PyTorch, as well as experience with data governance and AI frameworks, is highly valued. Leadership, strategic thinking, and the ability to communicate complex technical concepts to non-technical stakeholders are essential soft skills for this role. These competencies drive innovation, ensure effective team direction, and align AI initiatives with broader business objectives.

What is the difference between Vp Data Science Ai vs Data Science Manager?

AspectVp Data Science AiData Science Manager
Required CredentialsAdvanced degrees in Data Science, AI, or related fields; extensive experience in AI projectsBachelor's or Master's in Data Science, Computer Science, or related fields; some experience managing data teams
Work EnvironmentStrategic leadership, cross-department collaboration, executive-level decision makingTeam management, project oversight, technical guidance
Employer & Industry UsageTech companies, finance, healthcare, industries leveraging AI at an executive levelVaries from startups to large corporations, focusing on managing data science teams

The Vp Data Science Ai typically holds a higher strategic and leadership role, focusing on AI initiatives at an executive level, while a Data Science Manager oversees day-to-day team operations and project execution. Both roles require strong technical backgrounds, but the Vp is more involved in setting company-wide AI strategies.

What are popular job titles related to Vp Data Science Ai jobs?

For Vp Data Science Ai jobs, the most frequently searched job titles are:

Infographic showing various Vp Data Science Ai job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

Vice President, Data Science

Las Vegas, NV • On-site

Aristocrat Technologies, Inc.
Amusement, Gambling, and Recreation • 11 - 50 employees
Learn more about Aristocrat Technologies, Inc.external

$189K - $351K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago

Key responsibilities

  • Define and implement the enterprise Data Science strategy, roadmap, and operating model.

  • Partner with senior business and technology leaders to identify, prioritize, and scale Data Science, machine learning, and AI opportunities.

  • Lead, develop, and grow a high-performing Data Science organization through multiple levels of leadership.

Aristocrat Technologies rating

6.3

Company rating: 6.3 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

184th of 226 rated it services

Job description

At Aristocrat, we are passionate about bringing happiness to life through the power of play. As a world leader in gaming content and technology, we strive to build outstanding experiences for our customers and players. The Vice President, Data Science defines and delivers Aristocrat's enterprise Data Science strategy and builds a Data Science organization that delivers business impact through machine learning, statistical modeling, advanced analytics, and AI. As a member of the Enterprise Data & Analytics leadership team, this role partners with senior business and technology leaders to shape strategy, accelerate innovation, and enable data-driven decision making across the enterprise.
What You'll Do
  • Define and implement the enterprise Data Science strategy, roadmap, and operating model.
  • Serve as the executive advisor on Data Science strategy, investments, risks, and emerging opportunities.
  • Partner with executive leaders to identify, prioritize, and scale Data Science, machine learning, and AI opportunities that solve business problems, improve decision making, and create measurable business value and competitive advantage.
  • Evaluate emerging Data Science, AI, and machine learning technologies, tools, and techniques, and establish a roadmap for adoption where they provide relevant business value.
  • Lead, develop and grow a high-performing organization through multiple levels of leadership, including Directors, Managers, Data Scientists, and Machine Learning Engineers.
  • Establish enterprise standards, governance, and operating principles for machine learning, statistical modeling, experimentation, optimization, decision science, and responsible AI.
  • Define the enterprise strategy and architecture for model lifecycle management, including model development, deployment, monitoring, governance, and continuous improvement.
  • Collaborate with Architecture, Data Governance, Platform Engineering, and Analytics teams to ensure scalable and balanced delivery of Data Science capabilities.
  • Drive enterprise adoption of advanced analytics and machine learning solutions that improve business outcomes and decision making.
  • Establish frameworks to measure adoption, business impact, and value realization of Data Science investments.
  • Shape an organization known for technical excellence, innovation, accountability, and continuous learning.

What We're Looking For
  • 15+ years of progressive leadership experience in Data Science, Machine Learning, AI, Advanced Analytics, Statistical Modeling, or related quantitative disciplines.
  • Deep familiarity with gaming, digital product, media, or entertainment businesses preferred.
  • Experience leading enterprise Data Science organizations through Directors, Managers, and senior technical leaders.
  • Proven success building and scaling Data Science capabilities that enable production machine learning, AI, and advanced analytics solutions.
  • Experience defining enterprise Data Science operating models, governance frameworks, and model lifecycle practices that support the scalable adoption of advanced analytics, machine learning, and AI.
  • Experience evaluating emerging Data Science, AI, and machine learning technologies and converting innovation opportunities into practical business capabilities.
  • Outstanding executive communication, partner influence, and organizational leadership skills, able to build strong partnerships across business and technology functions.
  • Master's degree or PhD in Data Science, Statistics, Computer Science, Mathematics, Engineering, Economics, or a related quantitative field preferred; equivalent experience will also be considered.

Why Aristocrat?
Aristocrat is a world leader in gaming content and technology, and a top-tier publisher of free-to-play mobile games. We deliver great performance for our B2B customers and bring joy to the lives of the millions of people who love to play our casino and mobile games. And while we focus on fun, we never forget our responsibilities. We strive to lead the way in responsible gameplay, and to lift the bar in company governance, employee wellbeing and sustainability. We're a diverse business united by shared values and an inspiring mission to bring joy to life through the power of play.
We aim to create an environment where individual differences are valued, and all employees have the opportunity to realize their potential. We welcome and encourage applications from all people regardless of age, gender, race, ethnicity, cultural background, disability status or LGBTQ+ identity. EEO M/F/D/V
  • World Leader in Gaming Entertainment
  • Robust benefits package
  • Global career opportunities

Our Values
  • All about the Player
  • Talent Unleashed
  • Collective Brilliance
  • Good Business Good Citizen

Travel Expectations
Up to 25%
Pay Range
$189,000 - $351,000 per year
Our goal is to pay a market competitive salary focusing near the median of our pay ranges. However, final offers for all positions will be based on several factors such as experience level, education, skills, work location, and internal pay equity.
This position offers a comprehensive benefits package, including health, dental, and vision insurance, paid time off, and a 401(k) plan with employer matching, more details available at https://atibenefits.com/.
Additional Information
At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.

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