Jobs / United States / Mastercard International Incorporated
Director, Data Analytics
Mastercard International Incorporated · 🇺🇸 O'Fallon, Missouri
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 roles7 certified filings for “Data Engineer” (Data Scientists) in MO: $98k–$138k, median $119k. Most were filed at wage level IV (57%) — 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 Director, Data Analytics Overview: The Global Business Solutions Center (GBSC) Operational Excellence & Enablement organization advances enterprise performance by combining data, technology, analytics, and operational expertise. The team partners across GBSC and its stakeholders to establish trusted data foundations, develop forward-looking insights, and create scalable reporting capabilities that improve decision-making, operational visibility, and business outcomes. We are seeking a strategic and highly collaborative Director, Data Analytics to lead an integrated organization spanning Data Science, Data Architecture & Engineering, and Reporting & Insights. This leader will provide end-to-end accountability for the data and insights value chain, from architecture and data products through advanced analytics, reporting, and executive storytelling. The Director will translate business priorities into a cohesive data strategy, build durable capabilities, and ensure that solutions are trusted, scalable, governed, and connected to measurable business value. This role is designed for an enterprise-minded leader who can set direction, develop talent, simplify complexity, and move the organization from fragmented reporting toward proactive, predictive, and decision-oriented insights. Role: • Lead, coach, and develop the leaders responsible for Data Science, Data Architecture & Engineering, and Reporting & Insights, establishing clear accountability, priorities, operating rhythms, and performance expectations across the organization. • Define and execute a unified data and insights strategy aligned with GBSC Operational Excellence & Enablement priorities and the evolving needs of business stakeholders. • Own the end-to-end portfolio of data, analytics, and reporting initiatives to support operational excellence, balancing foundational investments, strategic use cases, regulatory and control requirements, and near-term business value. • Partner with functional leaders to translate ambiguous business challenges into clear data products, analytical use cases, reporting solutions, and decision-support capabilities. • Guide the design of scalable data architecture, engineering pipelines, semantic models, and reusable data products that improve data quality, accessibility, interoperability, and speed to insight. • Advance the organization from descriptive reporting toward diagnostic, predictive, and prescriptive insights through responsible application of statistical methods, machine learning, artificial intelligence, and automation. • Create and enforce standards for data quality, solution design, development, testing, documentation, deployment, monitoring, and lifecycle management in partnership with technology, risk, privacy, security, and governance teams. • Build a diverse, inclusive, and high-performing global team by strengthening succession plans, technical depth, leadership capability, and career pathways across all three disciplines. • Stay current on emerging data, analytics, AI, and reporting technologies, applying relevant innovations to improve team productivity, solution quality, and business impact. All About You: • Undergraduate degree in Data Science, Computer Science, Information Systems, Engineering, S