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Vice President F1 Data Science Jobs (NOW HIRING)

$165K - $212K/yr

In alignment with the VP of A.I and Transformation, who defines enterprise A.I strategy and ... Build and scale data science capabilities, including machine learning, AI-driven solutions, and ...

The new VP must have a history of delivering high-quality work and building ongoing, trust-based ... Moreover, they should possess good knowledge of Data Science, Machine Learning, and Advanced ...

The ideal candidate brings a strong analytical mindset, deep experience in applied data science ... Collaborate with Vice President, Data Architecture and Infrastructure to ensure high availability ...

The VP of Finance will also be at the forefront of enabling Finance with the thoughtful integration of AI, data science and automation. This role will be based in our New York City office on a hybrid ...

Vice President of Marketing Department: Marketing Reports to: CEO Location: Remote / [Specify if ... Higher education institutions teaching computer science, data science, and cybersecurity.

OR ยท On-site

$215K - $330K/yr

The new VP must have a history of delivering high-quality work and building ongoing, trust-based ... Moreover, they should possess good knowledge of Data Science, Machine Learning, and Advanced ...

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Vice President F1 Data Science information

See salary details

$37.5K

$122.7K

$196.5K

How much do vice president f1 data science jobs pay per year?

As of Jun 14, 2026, the average yearly pay for vice president f1 data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What does a Vice President of F1 Data Science do?

A Vice President of F1 Data Science leads the data analytics and strategy efforts for a Formula 1 team or organization. They oversee the collection, analysis, and interpretation of massive datasets from car sensors, race simulations, and competitor analysis to inform race strategies and improve performance. This executive collaborates with engineers, strategists, and management to make data-driven decisions that can provide a competitive edge. Additionally, they are responsible for managing data science teams, setting departmental goals, and ensuring that advanced technologies like machine learning are effectively integrated into F1 operations.

What are the key skills and qualifications needed to thrive as a Vice President F1 Data Science, and why are they important?

To excel as a Vice President F1 Data Science, you need extensive expertise in data analytics, statistical modeling, machine learning, and a strong educational background in data science, mathematics, or a related field. Familiarity with advanced analytics tools (like Python, R, SQL), big data platforms, and experience with motorsport telemetry or similar high-frequency data systems are essential. Strategic leadership, strong communication, and the ability to drive cross-functional collaboration set outstanding candidates apart. These skills empower effective data-driven decision-making, optimizing team performance and maintaining a competitive edge in the fast-paced Formula 1 environment.

How does a Vice President of F1 Data Science typically collaborate with technical and non-technical teams within a racing organization?

A Vice President of F1 Data Science plays a pivotal role in bridging the gap between data scientists, engineers, and business leaders. They work closely with technical teams to set data analysis strategies, oversee model development, and ensure accurate insights drive race strategy and car performance. On the non-technical side, they translate complex data findings into actionable recommendations for management and other stakeholders, ensuring alignment with broader organizational goals. This requires excellent communication skills and the ability to foster cross-functional collaboration to maximize the team's competitive advantage.

What is the difference between Vice President F1 Data Science vs Data Science Director?

AspectVice President F1 Data ScienceData Science Director
ResponsibilitiesStrategic leadership, overseeing multiple teams, setting data science vision for F1Managing data science projects, leading teams, implementing strategies within an organization
Required CredentialsAdvanced degrees in data science, analytics, or related fields; extensive experience in F1 or motorsport analyticsMaster's or PhD in data science, statistics, or related fields; significant industry experience
Work EnvironmentExecutive-level, cross-functional collaboration, high-pressure F1 environmentTeam management, project execution, collaboration with stakeholders

The Vice President F1 Data Science focuses on strategic leadership and high-level decision-making within the F1 industry, while the Data Science Director manages day-to-day project execution and team operations. Both roles require advanced credentials and industry experience, but the VP role emphasizes vision and strategy, whereas the Director role centers on project management and technical execution.

What cities are hiring for Vice President F1 Data Science jobs? Cities with the most Vice President F1 Data Science job openings:
What are the most commonly searched types of F1 Data Science jobs? The most popular types of F1 Data Science jobs are:
What states have the most Vice President F1 Data Science jobs? States with the most job openings for Vice President F1 Data Science jobs include:

Vice President, Workplace Data Science & AI Execution

FAVARH

New York, NY โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Job description

Together we fight for everyone's opportunity for a better financial future.

We will do this together - with customers, partners and colleagues. We will fight for others, not against: We will stand up for and champion everyone's access to opportunities. The status quo is not good enough ... we believe every individual and every community deserves access to financial opportunities. We are determined to support both individuals and communities in reaching a better financial future. We know that reaching this future depends on our actions today.

Like our Purpose Statement, Voya believes in being bold and committed to action. We are committed to a work environment where the differences that we are born with - and those we acquire throughout our lives - are understood, valued and intentionally pursued. We believe that our employees own our culture and have a responsibility to foster an environment where we all feel comfortable bringing our whole selves to work. Purposefully bringing our differences together to positively influence our culture, serve our clients and enrich our communities is essential to our vision.

Are you ready to join a company with a strong purpose and a winning culture? Start your Voyage - Apply Now

Role Overview
The Vice President, Head of Data Science & AI Execution will lead the rapid delivery of data science, advanced analytics, and applied machine learning capabilities across the Workplace Solutions business, including retirement, wealth management, employee benefits, and benefits administration. Reporting to the CTO of Workplace Solutions, this leader is accountable for accelerating the execution of highimpact data science use cases that drive plan sponsor growth and retention, improve advisor and intermediary productivity, and enhance participant and employee experiences. This leader is handson, agile, and executionoriented, partnering closely with peers across Technology, Product, Data Engineering, Distribution, Operations, Risk, and Compliance to move analytics initiatives from idea to production with speed and discipline.

Key Responsibilities

Data Science Strategy with a Bias for Execution
Define and execute the data science strategy aligned with the Workplace Solutions technology and business roadmap.
Drive endtoend execution of analytics and machine learning use cases, from problem definition through deployment and scaling.
Prioritize use cases based on speedtovalue, business impact, and scalability.
Serve as a trusted advisor to the CTO on data science investments, sequencing, and delivery tradeoffs.

CrossFunctional Delivery & Partnerships
Partner with peers across Product, Engineering, Data Platforms, Distribution, Operations, and Marketing to coown analytics outcomes.
Lead execution of advanced analytics and select AIenabled capabilities, including:
- Predictive modeling and decision intelligence
- Workflow automation and intelligent document processing
- Targeted insights for advisors, intermediaries, and participants
Establish clear ownership models, operating rhythms, and delivery accountability across teams.

Growth, Retention & Intermediary Enablement
Rapidly deliver data science capabilities that support:
- Plan sponsor acquisition, retention, and expansion
- Lead scoring, propensity modeling, and churn prediction
- Crosssell and upsell across retirement, wealth, and benefits offerings
Improve advisor and intermediary productivity through datadriven insights, recommendations, and workflow integration.

Agile Delivery & Operating Model
Establish an agile, productoriented operating model for data science delivery.
Shorten cycle times from ideation to production through reusable components, shared platforms, and pragmatic governance.
Create a culture of experimentation with clear success metrics and fast decisions.

Governance Without Friction
Implement scalable, riskaware governance frameworks that support rapid deployment of analytics and machine learning solutions.
Ensure explainability, fairness, privacy, and security without creating delivery bottlenecks.
Partner with Risk and Compliance to standardize fast approval paths for repeatable patterns.

Qualifications

Required
12-15 years of experience in data science, advanced analytics, or machine learning, with 5+ years in leadership roles.
Demonstrated success delivering analytics and ML initiatives at scale in partnership with crossfunctional leaders.
Proven ability to accelerate delivery of highvalue use cases with measurable business impact.
Experience driving growth, retention, and intermediary productivity through datadriven solutions.
Deep experience in workplace retirement, wealth management, employee benefits, or benefits administration.
Strong track record operating in regulated environments with a bias for speed and outcomes.

Experience influencing without direct authority across complex organizations.

Experience building enterprise data science platforms and reusable capabilities.
Familiarity with modern MLOps and model governance frameworks.

Preferred
Advanced degree in a quantitative or technical field.

#LI-ND1

Compensation Pay Disclosure:

Voya is committed to pay that's fair and equitable, which means comparable pay for comparable roles and responsibilities.

The below annual base salary range reflects the expected hiring range(s) for this position in the location(s) listed. In addition to base salary, Voya offers incentive opportunities (i.e., annual cash incentives, sales incentives, and/or long-term incentives) based on the role to reward the achievement of annual performance objectives. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Voya Financial is willing to pay at the time of this posting.

Actual compensation offered may vary from the posted salary range based upon the candidate's geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

$230,390 - $287,990 USD

Be Well. Stay Well.

Voya provides the resources that can make a difference in your lives. To us, this means thriving physically, financially, socially and emotionally. Voya benefits are designed to help you do just that. That's why we offer an array of plans, programs, tools and resources with one goal in mind: To help you and your family be well and stay well.

What We Offer

  • Health, dental, vision and life insurance plans
  • 401(k) Savings plan - with generous company matching contributions (up to 6%)
  • Voya Retirement Plan - employer paid cash balance retirement plan (4%)
  • Tuition reimbursement up to $5,250/year
  • Paid time off - including 20 days paid time off, nine paid company holidays and a flexible Diversity Celebration Day.
  • Paid volunteer time - 40 hours per calendar year

Learn more about Voya benefits (download PDF)

Critical Skills

At Voya, we have identified the following critical skills which are key to success in our culture:

  • Customer Focused: Passionate drive to delight our customers and offer unique solutions that deliver on their expectations.
  • Critical Thinking: Thoughtful process of analyzing data and problem solving data to reach a well-reasoned solution.
  • Team Mentality: Partnering effectively to drive our culture and execute on our common goals.
  • Business Acumen: Appreciation and understanding of the financial services industry in order to make sound business decisions.
  • Learning Agility: Openness to new ways of thinking and acquiring new skills to retain a competitive advantage.

Learn more about Critical Skills

Equal Employment Opportunity

Voya Financial is an equal-opportunity employer. Voya Financial provides equal opportunity to qualified individuals regardless of race, color, sex, national origin, citizenship status, religion, age, disability, veteran status, creed, marital status, sexual orientation, gender identity, genetic information, or any other status protected by state or local law.

Reasonable Accommodations

Voya is committed to the inclusion of all qualified individuals. As part of this commitment, Voya will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please reference resources for applicants with disabilities.

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