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Vp Data Jobs (NOW HIRING)

VP, Data

New York, NY ยท On-site

We're seeking a VP of Data to materially elevate how we make data-driven decisions across the company. Reporting to the SVP of Engineering, this leader will architect the systems, standards, and team ...

We're seeking a VP of Data to materially elevate how we make data-driven decisions across the company. Reporting to the SVP of Engineering, this leader will architect the systems, standards, and team ...

Vice President, Data Privacy At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the ...

Vice President, Data Privacy At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the ...

PFSbrands is seeking a Vice President of Data to unify the company's data ecosystems across its four business units. This executive role is responsible for developing and executing a comprehensive ...

Vice President, Data Analyst & BI At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the ...

NY ยท On-site

$315 - $375/hr

Senior Vice President, Data Operations Location: New York, NY (Hybrid 3x a week in office, remote up to 2 days per week). Overview We are seeking a Senior Vice President of Data Operations to lead ...

About the Role The VP, Data Platforms is responsible for the data platform, infrastructure, governance, and engineering services that power every business at Happen Bank -from Marketing, Personal ...

Role Forge is seeking a Vice President, Data Product Strategy to design and execute the company's data vision across its marketplace, data products, and investment solutions capabilities. This leader ...

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Vp Data information

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$43.5K

$157.5K

$277.5K

How much do vp data jobs pay per year?

As of Jul 18, 2026, the average yearly pay for vp data in the United States is $157,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $190,000.00 per year, depending on experience, location, and employer.

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

To thrive as a VP of Data, you need advanced expertise in data analytics, data strategy, and leadership, typically supported by a degree in computer science, statistics, or a related field. Familiarity with big data platforms (such as Hadoop and Spark), cloud data solutions, and certifications in data management or analytics tools are highly valued. Strategic vision, strong communication, and the ability to lead cross-functional teams are standout soft skills. These competencies are crucial for aligning data initiatives with business objectives, ensuring data governance, and driving organizational growth.

What jobs in the US pay 300,000 a year?

For a VP Data or similar senior data leadership roles, annual salaries of $300,000 or more are common in large corporations, especially with extensive experience, advanced skills in data strategy, analytics, and management, and often include bonuses and stock options. Other high-paying roles in data science and analytics may include Chief Data Officer or Director of Data, typically requiring a strong track record and advanced certifications. Compensation varies based on industry, company size, and geographic location, with executive-level positions generally offering the highest salaries.

How does a VP of Data typically collaborate with other departments to drive business value?

A VP of Data works closely with leaders across departments such as product, marketing, finance, and IT to align data strategies with broader business goals. They facilitate cross-functional projects, ensuring that data insights inform decision-making and support company objectives. Regular communication and collaboration are essential, as the VP of Data often leads data governance initiatives and helps teams leverage analytics to solve real-world business challenges.

How much does a VP data engineer make?

A VP of Data Engineering typically earns between $150,000 and $250,000 annually, with compensation increasing based on experience, company size, and location. They often oversee data teams, manage data infrastructure, and require strong skills in data architecture, cloud platforms, and leadership. Bonuses and stock options may also be part of the total compensation package.

What jobs pay 200,000 a year in the USA?

For a VP of Data or similar senior data leadership roles, annual salaries of $200,000 or more are common, especially with extensive experience, advanced skills in data management, analytics, and leadership, and often require a master's degree or higher. Compensation can vary based on industry, company size, and location, with additional benefits such as bonuses and stock options frequently included.

What jobs pay 500,000 a year in the US?

In the US, executive roles such as Chief Executive Officers, Chief Financial Officers, and Chief Data Officers can earn $500,000 or more annually, especially in large corporations. High-level positions in finance, technology, and healthcare, along with successful entrepreneurs and specialized professionals with significant experience, may also reach this compensation level. These roles often require advanced degrees, extensive experience, and leadership responsibilities.

What does a VP of Data do?

A VP of Data is responsible for overseeing an organization's data strategy, management, and analytics initiatives. They lead teams of data scientists, analysts, and engineers to ensure data is collected, stored, and utilized effectively to drive business decisions. Their role often includes setting data governance policies, ensuring compliance with regulations, and collaborating with other departments to support company objectives. Additionally, they evaluate and implement new technologies to enhance data capabilities and provide strategic insights to senior leadership.
More about Vp Data jobs
What cities are hiring for Vp Data jobs? Cities with the most Vp Data job openings:
What are the most commonly searched types of Data jobs? The most popular types of Data jobs are:
What states have the most Vp Data jobs? States with the most job openings for Vp Data jobs include:
Infographic showing various Vp Data job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $157,532 per year, or $75.7 per hour.
Vice President, Data & Tech Learning

Vice President, Data & Tech Learning

MasterCard

New York, NY โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 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, Data & Tech LearningAt 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
Define and lead a multi year global strategy for data, engineering, and technology skill development-from foundations to advanced, expert level capability building
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
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
Ensure learning experiences go beyond awareness or basic proficiency, enabling deep technical mastery, applied problem solving, and real world execution
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
Oversee the evolution of technical academies, curricula, credentials, and hands on experiences that build elite level capability
Business Impact & Strategic Partnership
Serve as a trusted thought partner to Technology leadership on how technical skill development drives engineering outcomes, productivity, innovation, and platform resilience
Ensure all major initiatives are explicitly tied to business relevant outcomes, such as speed to proficiency, quality, reliability, rework reduction, and innovation throughput
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
Lead the end to end portfolio across data, engineering, AI, and technology learning, with clear ownership, prioritization, and sequencing
Drive disciplined execution-from needs identification and experience design through adoption, application, and continuous improvement
Own the budget and learning asset portfolio with a strong focus on ROI, scale, and effectiveness
Measurement, Insights & Continuous Evolution
Define success metrics that connect technical learning to engineering performance and business outcomes, not just learning activity
Use skills data and performance signals to continuously refine strategy and guide investment decisions
Ensure Mastercard's approach remains current with industry best and next practices for developing elite technical talent
People & Culture Leadership
Lead, develop, and inspire a high performing global team of learning professionals
Set a clear expectation for technical credibility, business orientation, and execution excellence
Foster a culture of innovation, inclusion, and continuous learning, bringing the Mastercard Way to life across the technical learning ecosystem
Experience & Capabilities
Significant leadership experience in learning, talent, or workforce development, with direct exposure to technology, data, or engineering heavy environments
Demonstrated success designing and leading technical skill development at advanced levels, not just generic or foundational technical training
Strong understanding of how software engineers, data scientists, AI practitioners, and architects build expertise over time, including applied learning, practice based models, and mentorship
Ability to translate technology strategy into concrete skill priorities and learning interventions
Proven track record of connecting learning strategy to measurable business and engineering outcomes
Highly effective people leader with experience leading senior, multidisciplinary teams in complex, global, matrixed organizations
Exceptional stakeholder influence and communication skills, with the ability to engage credibly with senior technologists and executivesMastercard 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 USDPurchase, New York: $221,000 - $353,000 USD