Mastercard

3 months ago

Vice President, Data & Tech Learning

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Senior leadership role defining Mastercard’s end-to-end strategy for upskilling and deep-skilling technical talent across data, engineering, AI, and architecture. Leads global learning programs and curricula for engineers, data scientists, ML engineers, platform engineers and architects, driving measurable business impact through advanced skills development, lifecycle learning, and strategic partnerships with Technology leadership and People Analytics.

Location: New York

Workplace: Onsite

Employment Type: Full time

Job Function: Executive & General Management

Key Responsibilities

•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 forward-looking view on how AI, cloud, data platforms, and modern engineering practices reshape technical roles and skill requirements
•Ensure learning experiences enable deep technical mastery, applied problem solving, and real-world execution
•Lead end-to-end portfolio across data, engineering, AI, and technology learning with clear ownership, prioritization, sequencing, and budget management

Pay and Benefits

Perks:Health InsuranceDentalVision401kPaid LeaveSick TimeLife InsuranceDisability

Key Requirements

•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

Experience:PaymentsFintechEnterprise softwareData & analytics

Skills:LeadershipCommunicationStrategic thinkingInfluenceTeam management

Languages:English

Tech Stack:AICloudData platformsMachine learningArchitecture

Company Brief

Mastercard

Mastercard is a global payments and technology company that processes transactions, provides fraud prevention and data services, and builds payment infrastructure for consumers, businesses, merchants and governments across 200+ countries.

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Purchase, New York, United States

Founded: 1966

Glassdoor: 4.1

Website LinkedIn Glassdoor

Loading job details...

Preparing the role view and application actions.

Mastercard

3 months ago

Vice President, Data & Tech Learning

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: New York

Workplace: Onsite

Employment Type: Full time

Job Function: Executive & General Management

Key Responsibilities

•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 forward-looking view on how AI, cloud, data platforms, and modern engineering practices reshape technical roles and skill requirements
•Ensure learning experiences enable deep technical mastery, applied problem solving, and real-world execution
•Lead end-to-end portfolio across data, engineering, AI, and technology learning with clear ownership, prioritization, sequencing, and budget management

Pay and Benefits

Perks:Health InsuranceDentalVision401kPaid LeaveSick TimeLife InsuranceDisability

Key Requirements

•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

Experience:PaymentsFintechEnterprise softwareData & analytics

Skills:LeadershipCommunicationStrategic thinkingInfluenceTeam management

Languages:English

Tech Stack:AICloudData platformsMachine learningArchitecture

Company Brief

Mastercard

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Purchase, New York, United States

Founded: 1966

Glassdoor: 4.1

Website LinkedIn Glassdoor