Jobs / United States / Mastercard International Incorporated
Director, Value Quantification, Product Data & Analytics
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 roles8 certified filings for “Manager, Product Management” (Data Scientists) in NY: $170k–$179k, median $170k. Most were filed at wage level IV (75%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Last confirmed live 2 days agoWhen 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, Value Quantification, Product Data & Analytics Overview Product Data & Analytics is a centralized global team that enables Mastercard product business units to make better data‑driven decisions. We build internal analytics partnerships that strengthen focus on business performance, portfolio and revenue optimization, initiative tracking, new product development, and go‑to‑market strategies. These capabilities are underpinned by our data platforms that enable insights to be delivered in a standardized, scalable, and cost‑efficient manner. As Director, Value Quantification, you will own the data, models, and analytics that power Mastercard’s value quantification platform. You will be responsible for designing, building, and operationalizing scalable data assets, value models, and analytics tools that quantify the economic impact of Mastercard’s products and services. This role partners closely with product, pricing, sales, and customer success teams to ensure value drivers are rigorously measured, consistently modeled, and embedded into enterprise platforms, enabling credible, data‑driven value storytelling that drives customer adoption, revenue growth, and retention. Key Responsibilities • Define and lead the value quantification strategy across the product lifecycle, embedding consistent ROI and value measurement into product, pricing, sales, and customer success • Own and scale value models and analytics assets, including ROI frameworks and simulation tools, ensuring robustness, transparency, and adaptability • Drive productization of the value quantification platform, partnering with engineering to deliver scalable, automated, enterprise-grade solutions • Enable value-based pricing and commercial decisions through close partnership with pricing, finance, and product teams • Drive cross-functional adoption, working with services, product, sales, and customer success to embed value quantification into workflows and strengthen value storytelling • Establish a single, governed source of truth for value analytics, ensuring consistency of data, models, and KPIs across the organisation • Lead AI-enabled innovation in value modelling, improving predictive capabilities and automating insight generation • Define governance and standards for model accuracy, auditability, and enterprise consistency • Build and lead a high-performing team, fostering a culture of innovation, accountability, and measurable impact • Deliver measurable business outcomes, driving revenue growth, pricing optimisation, and improved customer value articulation Qualifications Experience • Experience designing, developing, and scaling data‑driven tools, frameworks, and analytics products with clear, measurable business outcomes, including value quantification, pricing, or customer impact use cases. • Demonstrated success partnering with cross-functional teams, including Sales, Marketing, Product, and Customer Service Center leads, translating business strategy and requirements into scalable technical solutions, and communicating outcomes and trade‑offs effectively. • Strong leadership skills with a passion for mentoring and developing a high-performing team, and the ability to foster a culture of collaboration, innovation, and continuo