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Vice President Startup Data Engineer information
See salary details
$112.5K - $138.5K
1% of jobs
$138.5K - $164.5K
7% of jobs
$177.7K is the 25th percentile. Wages below this are outliers.
$164.5K - $190.5K
33% of jobs
The median wage is $198.4K / yr.
$190.5K - $216.5K
29% of jobs
$224.4K is the 75th percentile. Wages above this are outliers.
$216.5K - $242.5K
15% of jobs
$242.5K - $268.5K
5% of jobs
$268.5K - $294.5K
5% of jobs
$294.5K - $320.5K
3% of jobs
$320.5K - $346.5K
1% of jobs
$346.5K - $372.5K
0% of jobs
$372.5K - $398.5K
0% of jobs
$112.5K
$215.6K
$398.5K
How much do vice president startup data engineer jobs pay per year?
What is the difference between Vice President Startup Data Engineer vs Data Engineering Manager?
| Aspect | Vice President Startup Data Engineer | Data Engineering Manager |
|---|---|---|
| Responsibilities | Strategic data initiatives, leadership, and high-level architecture | Team management, project execution, and technical oversight |
| Required Credentials | Advanced degree in CS or related, extensive experience in data engineering | Bachelor's or master's in CS or related, experience in data projects |
| Work Environment | Executive leadership, cross-departmental collaboration | Technical team management, project delivery |
| Industry Usage | Used in startups and tech companies for strategic roles | Common in organizations with established data teams |
The Vice President Startup Data Engineer focuses on strategic leadership and high-level data architecture, while the Data Engineering Manager handles team management and project execution. Both roles require technical expertise, but the VP role emphasizes vision and strategy, whereas the manager role emphasizes operational management.

Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 23 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.
Pay Ranges
New York City, New York: $230,000 - $368,000 USDPurchase, New York: $221,000 - $353,000 USD