Jobs / United States / Mastercard International Incorporated
Director, AI & Data Strategy
Mastercard International Incorporated · 🇺🇸 2 Locations
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 76 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 286 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Mastercard International Incorporated paid sponsored hires in similar roles1 certified filing for “Director, Strategy and Operations” (Marketing Managers) in NY: $199k–$199k, median $199k. Most were filed at wage level III (100%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Mastercard International Incorporated
The US Department of Labor certified 76 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 286 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Mastercard International Incorporated →
About the role
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 Director, AI & Data Strategy Role Summary The Director, AI & Data Strategy is an established subject-matter expert responsible for advancing Mastercard’s thinking, frameworks and practices across AI and data strategy. The role applies deep expertise and extensive experience to deliver key strategic initiatives and make significant improvements to new and existing products, services and business processes. The Director leads pioneering research, evaluates emerging AI and data developments, and provides forward-looking guidance on their potential business, regulatory, ethical and societal implications. Working across business, technology, legal, privacy, compliance and risk teams, the role develops responsible AI frameworks, anticipatory guardrails and practical methods that enable innovation while protecting customer trust and Mastercard’s long-term resilience. Key Responsibilities: • AI and Analytics Integration: Champion the responsible incorporation of advanced analytics, generative AI, agentic AI and other innovative methodologies into core products, services, processes and decision-making frameworks. • Cross-Functional Governance Partnership: Collaborate with legal, privacy, compliance, risk, technology, data, product and business teams to embed responsible AI and data practices into operational workflows, product-development processes and strategic decisions. • Global Standards and Societal Expectations: Monitor evolving regulatory requirements, industry standards, ethical expectations and societal concerns. Help Mastercard’s frameworks and practices remain responsive to changing global expectations. • Data and AI Literacy: Promote a culture of data literacy, responsible experimentation and informed decision-making. Develop practical guidance that enables technical and non-technical colleagues to understand both the potential and limitations of AI and data-driven approaches. • Methods and Best Practices: Create reusable frameworks, assessment models, research methods, decision tools and best practices that improve the consistency and quality of AI and data strategy across Mastercard. • Capability Development and Mentoring: Mentor colleagues by sharing specialist knowledge, emerging research, innovative techniques and best practices. Build deeper expertise within the team and strengthen Mastercard’s broader community of AI and data practitioners. All About You: • Recognized subject-matter expertise in AI strategy, data strategy, responsible AI, AI governance, technology policy or a closely related discipline. • Significant experience applying specialist knowledge to complex business, technology, regulatory or societal challenges. • Deep understanding of generative AI, agentic AI, machine learning, advanced analytics and the data foundations required to support these capabilities. • Demonstrated ability to lead research and horizon-scanning activities and translate emerging developments into strategic business implications. • Experience developing advanced governance frameworks, ethical standards, guardrails, assessment models or responsible innovation practices. • Ability to evaluate emerging and hypothetical risks where historical evidence, regulatory direction or established industry practices may be li