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... VP AI, Machine Learning, and Data Strategy (Remote)* About the role This leader heads Shipium ... It owns the data engineering platform that powers analytics and modeling - the warehouse ...

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

As of Jun 13, 2026, the average yearly pay for vp ai data analytics in the United States is $183,493.00, according to ZipRecruiter salary data. Most workers in this role earn between $144,000.00 and $200,000.00 per year, depending on experience, location, and employer.

What are some common challenges a VP of AI Data Analytics faces when implementing new data-driven initiatives across an organization?

A VP of AI Data Analytics often encounters challenges such as integrating disparate data sources, ensuring data quality, and fostering cross-functional collaboration between technical teams and business stakeholders. There can be resistance to change from departments unaccustomed to data-driven decision-making, as well as difficulties in aligning AI and analytics projects with overall business goals. Additionally, managing the ethical use of AI and maintaining data privacy are ongoing concerns that require strong governance and clear communication across the organization.

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

To thrive as a VP of AI Data Analytics, you need expertise in data science, machine learning, and statistics, typically supported by an advanced degree in a related field and significant leadership experience. Familiarity with AI platforms, big data tools (such as Hadoop or Spark), and cloud services, along with certifications in analytics or data management, is highly valuable. Strategic thinking, strong communication, and the ability to lead cross-functional teams are standout soft skills for this role. These competencies are crucial for driving data-driven business strategies, fostering innovation, and ensuring successful implementation of AI initiatives at scale.

What does a VP of AI Data Analytics do?

A VP of AI Data Analytics is an executive leader responsible for overseeing the strategy, development, and implementation of artificial intelligence and data analytics initiatives within an organization. They lead teams of data scientists, analysts, and engineers to extract insights from large datasets, drive business decisions with data, and deploy AI solutions to solve complex problems. Their role includes setting data-driven goals, ensuring data quality and security, and aligning AI projects with overall business objectives.
More about Vp Ai Data Analytics jobs
What cities are hiring for Vp Ai Data Analytics jobs? Cities with the most Vp Ai Data Analytics job openings:
What states have the most Vp Ai Data Analytics jobs? States with the most job openings for Vp Ai Data Analytics jobs include:
Infographic showing various Vp Ai Data Analytics job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 61% Full Time, 37% Part Time, and 1% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $183,493 per year, or $88.2 per hour.
Vice President, AI & Data Strategy

Vice President, AI & Data Strategy

MasterCard

O Fallon, MO

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 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 asustainableeconomy where everyone can prosper. We support a wide range of digital payments choices, making transactionssecure, 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, AI & Data StrategyOverview
The AI and Data Office is responsible for the strategy, acquisition, evaluation, and responsible use of AI and data capabilities that power innovation and operations across Mastercard. Reporting to the Senior Vice President, AI & Data Strategy, the Vice President will partner with Technology and People & Capabilities (P&C) leaders to define and execute enterprise AI and data strategies that accelerate business priorities, strengthen decision-making, and enable innovation at scale.
This role sits at the intersection of strategy, execution, and governance-translating business priorities into actionable AI and data initiatives, addressing capability gaps, and enabling scalable, responsible adoption across a complex, global organization.
Role Responsibilities:
Define and drive the AI and data strategy roadmap across the Technology and P&C organizations, ensuring alignment to enterprise priorities and measurable business outcomes.
Partner with senior leaders to translate business priorities into AI and data initiatives while identifying and addressing gaps in capabilities, operating models, and governance.
Serve as a strategic advisor on internal and third-party AI and data capabilities, guiding evaluation, prioritization, and implementation of high-impact AI and data solutions.
Lead the adoption of data and AI design practices for new products, services, and enterprise initiatives, including data requirements, AI intake, Data Briefs, Data Flows, and supporting materials required for product management and governance processes.
Build strong relationships across Technology, P&C, and enterprise stakeholder groups to champion AI and data best practices and strengthen organizational readiness.
Represent Mastercard externally as a senior voice in the AI and data space, helping advance the company's reputation, perspective, and strategic objectives.
Define, track, and communicate success metrics for the function, including AI intake throughput, strategy adoption, and other relevant indicators of progress and impact.
Foster a culture of innovation, accountability, operational ownership, and execution excellence across cross-functional teams.
All About You:
Proven experience defining and executing enterprise-scale AI and data strategies in complex, matrixed organizations.
Strong understanding of AI, data, analytics, and governance, with the ability to connect technical capabilities to business value.
Deep understanding of the Payments and/or Fintech industry, especially the underlying technology stacks.
Exceptional executive communication and stakeholder management skills, with a demonstrated ability to influence senior leaders across business, product, and technology functions globally.
Strong business and financial acumen, with experience assessing trade-offs, prioritizing investments, and supporting cost-efficiency objectives.
Proven ability to lead cross-functional initiatives and build strong relationships across diverse stakeholder groups in complex, matrixed environments.
Ability to shape practical strategies and operating plans that define how data and AI are governed, prioritized, and applied to support business objectives.
Experience working with enterprise HR systems (e.g., Workday), with the ability to align AI and data strategies to people, workforce, and capability data to enable more effective talent and organizational decision-making.
Comfortable operating in fast-paced environments with a high degree of complexity, ambiguity, and executive visibility.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

Purchase, New York: $235,000 - $375,000 USDArlington, Virginia: $235,000 - $375,000 USDNew York City, New York: $245,000 - $391,000 USDO'Fallon, Missouri: $204,000 - $326,000 USD