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Vp Data Science Jobs (NOW HIRING)

AVP, Data Solutions Engineering

Jersey City, NJ ยท 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 ...

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 ...

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 ...

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 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 VP, Development Data Science will build and lead a cross functional data centric matrix to accelerate drug development, support regulatory submissions and guide the Real-World Data (RWD) / Real ...

Job Summary The Vice President(VP), - Data Center Services(DCS) will play a key leadership role in ensuring the successful sourcing and delivery of complex infrastructure projects within the data ...

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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Vp Data Science information

See salary details

$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:
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.
Vice President, Data & Tech Learning

Vice President, Data & Tech Learning

Mastercard, Inc.

New York, NY โ€ข On-site

$171.80K - $215K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Job description

Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Vice President, Data & Tech Learning
At Mastercard, technology and data capabilities are foundational to our ability to innovate, scale, and compete. As these domains evolve at unprecedented speed-driven by cloud, AI, data, and modern engineering practices-we must continuously deepen the technical expertise of our most critical talent.
The Vice President, Data & Technology Learning is a senior enterprise leadership role within Learning & Development, accountable for defining and leading Mastercard's end to end strategy for upskilling, deep skilling, and advancing technical talent at the highest levels of mastery. This role ensures our engineering, AI and data, architecture, and platform professionals build skills that directly translate into engineering excellence, platform reliability, innovation velocity, and business impact.
This VP brings a credible point of view on how world class technical talent is developed, with direct experience designing learning for advanced professionals-not just foundational training. They will lead a global portfolio spanning early career technologists through senior level experts, ensuring learning pathways are rigorous, relevant, and aligned to Mastercard's technology strategy.
The role reports to the Chief Learning Officer and leads a global team of learning professionals. It sits at the intersection of technology strategy, talent, and skill evolution at Mastercard.
Key Responsibilities
Enterprise Data & Technology Learning Strategy
โ€ข Define and lead a multi year global strategy for data, engineering, and technology skill development-from foundations to advanced, expert level capability building
โ€ข Establish a cohesive, persona based learning ecosystem for technical talent (e.g., software engineers, data scientists, ML engineers, platform engineers, architects), aligned to real role expectations and progression
โ€ข Maintain a strong external and forward looking perspective on how AI, cloud, data platforms, modern engineering practices, and emerging technologies are reshaping technical roles and skill requirements
Deep Technical Skill Development & Mastery
โ€ข Ensure learning experiences go beyond awareness or basic proficiency, enabling deep technical mastery, applied problem solving, and real world execution
โ€ข Partner with senior technologists and engineering leaders to define what "good" and "great" look like at advanced levels, and translate that into credible learning pathways
โ€ข Oversee the evolution of technical academies, curricula, credentials, and hands on experiences that build elite level capability
Business Impact & Strategic Partnership
โ€ข Serve as a trusted thought partner to Technology leadership on how technical skill development drives engineering outcomes, productivity, innovation, and platform resilience
โ€ข Ensure all major initiatives are explicitly tied to business relevant outcomes, such as speed to proficiency, quality, reliability, rework reduction, and innovation throughput
โ€ข Partner closely with Talent, Workforce Planning, and People Analytics to align skill investments to priority roles, platforms, and future capability gaps
Portfolio Leadership & Execution Excellence
โ€ข Lead the end to end portfolio across data, engineering, AI, and technology learning, with clear ownership, prioritization, and sequencing
โ€ข Drive disciplined execution-from needs identification and experience design through adoption, application, and continuous improvement
โ€ข Own the budget and learning asset portfolio with a strong focus on ROI, scale, and effectiveness
Measurement, Insights & Continuous Evolution
โ€ข Define success metrics that connect technical learning to engineering performance and business outcomes, not just learning activity
โ€ข Use skills data and performance signals to continuously refine strategy and guide investment decisions
โ€ข Ensure Mastercard's approach remains current with industry best and next practices for developing elite technical talent
People & Culture Leadership
โ€ข Lead, develop, and inspire a high performing global team of learning professionals
โ€ข Set a clear expectation for technical credibility, business orientation, and execution excellence
โ€ข Foster a culture of innovation, inclusion, and continuous learning, bringing the Mastercard Way to life across the technical learning ecosystem
Experience & Capabilities
โ€ข Significant leadership experience in learning, talent, or workforce development, with direct exposure to technology, data, or engineering heavy environments
โ€ข Demonstrated success designing and leading technical skill development at advanced levels, not just generic or foundational technical training
โ€ข Strong understanding of how software engineers, data scientists, AI practitioners, and architects build expertise over time, including applied learning, practice based models, and mentorship
โ€ข Ability to translate technology strategy into concrete skill priorities and learning interventions
โ€ข Proven track record of connecting learning strategy to measurable business and engineering outcomes
โ€ข Highly effective people leader with experience leading senior, multidisciplinary teams in complex, global, matrixed organizations
โ€ข Exceptional stakeholder influence and communication skills, with the ability to engage credibly with senior technologists and executives
Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
  • Abide by Mastercard's security policies and practices;
  • Ensure the confidentiality and integrity of the information being accessed;
  • Report any suspected information security violation or breach, and
  • Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.

In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.
Pay Ranges
New York City, New York: $230,000 - $368,000 USD
Purchase, New York: $221,000 - $353,000 USD