Jobs / United States / Mastercard International Incorporated
Vice President, Data Scientist (Open Finance)
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 “Senior Vice President, Cardholder Services” (General and Operations Managers) in NY: $241k–$241k, median $241k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% 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 Vice President, Data Scientist (Open Finance) Overview We are seeking an experienced and visionary Vice President of Data Science – Open Finance to lead the development, and delivery of advanced data science and AI capabilities that power our Open Finance business. This people leader will be responsible for building and scaling a world-class Data Science organization focused on transforming financial data into actionable insights, predictions, and decisioning capabilities. The role will span foundational data intelligence and high-value applications including transaction categorization, entity extraction, income and revenue classification, fraud detection, credit risk, propensity modeling, and other AI-powered financial insights. The VP will work closely with their immediate team and senior leaders across Product, Engineering, Sales, Privacy and other business functions to identify high-value opportunities, translate business problems into data science solutions, and deliver capabilities that create measurable customer and commercial value. The ideal candidate combines deep expertise in modern data science and AI with strong product acumen and a track record of scaling teams and production-grade machine learning solutions. Role Data Science Strategy - Define and execute the Data Science strategy for Open Finance in alignment with overall business and product objectives. - Identify opportunities where advanced analytics, machine learning, and AI can create differentiated products, improve decisioning, reduce risk, and drive growth. - Establish a scalable roadmap spanning foundational intelligence capabilities and application-specific models and solutions. - Evaluate and adopt the latest advances in machine learning, generative AI, foundation models, LLMs, deep learning, NLP, and other emerging technologies where they can create meaningful business value. Data Science Products & Solutions - Ensure models are accurate, scalable, explainable where required, resilient, and continuously improved based on performance and changing market conditions. - Lead the development and continuous improvement of production-grade models and AI capabilities, including: - Transaction categorization - Entity extraction, resolution, and enrichment - Income and Revenue classification - Fraud detection and risk scoring - Credit risk and credit decisioning - Spend propensity and customer insights - Personalization and predictive analytics - New AI-powered capabilities that leverage Open Finance and other proprietary data assets Cross-Functional Leadership - Partner closely with Product, Engineering, Sales, Risk, Marketing, and business leaders to understand customer needs and translate them into scalable data science solutions. - Work directly with Sales and customers to understand market requirements, demonstrate the value of AI-powered capabilities, and support strategic opportunities. - Collaborate with Engineering to establish scalable production architectures, MLOps practices, model deployment, monitoring, and operational excellence. - Serve as a senior thought leader and trusted advisor to executives and key stakeholders on the application of AI and data science to Open Finance. Organizational Leadership - Build, lead, an