1

Vp Data Science Ai Jobs (NOW HIRING)

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.

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 ...

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 ...

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 ...

VP, Data (Bradenton)

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 ...

The VP of Data Science & Analytics will lead experimentation, business intelligence, and advanced analytics across our global two-sided marketplace. This role is accountable for driving measurable ...

The VP of Data Science & Analytics will lead experimentation, business intelligence, and advanced ... Annual salary range $235,200-$336,000 USD AI FLUENCY At TKWW, AI is a tool that helps our teams ...

The VP will lead teams across data engineering, AI/ML, GenAI, AI platforms, and intelligent ... Bachelor's degree in computer science, Engineering, Data Science, or a related field; advanced ...

Showing results 21-40

Vp Data Science Ai information

See salary details

$41.5K

$142.5K

$201K

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

As of Sep 10, 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.

VP, Data Science - Cohort Modeling

Jersey City, NJ

Chubb
Insurance Services • 10K+ employees

$163K - $237K/yr

Full-time

Re-posted 13 days ago


Chubb rating

8.2

Company rating: 8.2 out of 10

Based on 67 frontline employees who took The Breakroom Quiz

148th of 315 rated insurance


Job description

The Vice President, Data Scientist will serve on Chubb's Global Analytics Risk Cohorts team, bringing advanced expertise in pricing modeling, product development, rating architecture, and model implementation for commercial insurance. This position will report to the SVP, Cohort Modeling, and play a pivotal leadership role in developing analytics-driven solutions that improve risk assessment and support regional and global business growth. This role is critical in advancing Chubb's analytical and modeling capabilities, driving precision in pricing and pricing sophistication to support Chubb's long-term profitability and market leadership

Key Responsibilities

  • Lead teams developing predictive models for underwriting, pricing, and portfolio management.
  • Enhance and implement AI-enabled pricing processes and pricing frameworks for commercial insurance.
  • Mentor and guide analytics staff across modeling disciplines, driving innovation and quality outcomes.
  • Collaborate regularly with cross-functional partners (actuarial, underwriting, product, and technology).
  • Ensure analytics solutions comply with regulatory, data privacy, and internal standards.
  • Report directly to the SVP, Cohorts Modeling, advising them on strategic analytics and modeling initiatives.
Chubb is a world leader in insurance. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance, and life insurance to a diverse group of clients. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally.

At Chubb, we are committed to equal employment opportunity and compliance with all laws and regulations pertaining to it. Our policy is to provide employment, training, compensation, promotion, and other conditions or opportunities of employment, without regard to race, color, religious creed, sex, gender, gender identity, gender expression, sexual orientation, marital status, national origin, ancestry, mental and physical disability, medical condition, genetic information, military and veteran status, age, and pregnancy or any other characteristic protected by law. Performance and qualifications are the only basis upon which we hire, assign, promote, compensate, develop and retain employees. Chubb prohibits all unlawful discrimination, harassment and retaliation against any individual who reports discrimination or harassment.
  • Experience leading business engagements and influencing senior stakeholders.
  •  Advanced degree in data science, actuarial science, statistics, mathematics, or related field.
  • Deep professional experience in insurance, including modeling, pricing, and actuarial analysis.
  • Significant leadership history managing analytics, actuarial, or pricing teams.
  • Expert level proficiency in machine learning, statistical analysis, and commercial insurance product knowledge.

Desired Skills

  • Strong communication skills, able to present findings to technical and executive audiences.
  • Demonstrated capability to translate data-driven insights into business strategies.
  • Proven record of driving analytics innovation in an insurance enterprise.

The pay range for the role is $163,000 to $237,000. The specific offer will depend on an applicant's skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program. Chubb offers a comprehensive benefits package, more details on which can be found on our careers website. The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled. 


What Chubb employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Chubb logo

About Chubb

Sourced by ZipRecruiter

Chubb is the world's largest publicly traded property and casualty insurer. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. We are a unique global organization with a culture of individuals passionately committed to our respective crafts. With underwriting at our core, each of us contributes to providing the best insurance coverage and service to our clients. Our highly collaborative, inclusive nature helps us drive better business outcomes through diversity of background, experiences, insights and values.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Warren, NJ, US