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Mastercard in New York City seeks a Vice President, Platform Architecture to define the long-term architectural vision across AI, data, UX, and platform products. The leader will ensure scalable, secure solutions that work together as an integrated ecosystem across a global organization.
The role engages with executives, architects, product leaders, and engineers to translate strategy into technical direction, drive architectural excellence, and govern standards.
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.
Vice President, Platform Architecture Overview
The Applied AI, Data & UX organization accelerates AI innovation and product delivery across Commercial & New Payment Flows (CNPF) through three pillars: This portfolio includes the Commercial Data Fabric, Agentic Development Frameworks, Unified UX Framework, Virtual C-Suite products, Commercial Business Directory, and other strategic AI capabilities.
The Vice President, Enterprise Architecture will define and govern the long-term architectural vision across the organization's portfolio of AI, data, UX, and platform products. This leader will ensure solutions are scalable, secure, resilient, and composable while aligning technology investments with business strategy. The role serves as the senior architectural authority across the portfolio, driving enterprise-wide technical standards, influencing strategic decisions, and ensuring platforms work together as an integrated ecosystem rather than independent solutions. The ideal candidate is a systems thinker who can seamlessly engage with executives, architects, product leaders, and engineers to translate strategic objectives into clear technical direction and drive architectural excellence across a complex global organization.
Define and own the long-term architecture strategy across AI, data, UX, and platform products.
Lead the architecture review process and establish standards for system design, integration, scalability, resiliency, and security.
Govern key architecture artifacts including technical standards, architecture decision records (ADRs), and integration patterns.
Identify and mitigate enterprise-level technology risks before they impact delivery.
Provide architectural oversight for the Commercial Data Fabric, including data pipelines, governance, feature platforms, analytics, and AI workloads.
Define architecture for agentic platforms, multi-agent orchestration, memory and context management, AI guardrails, evaluation frameworks, and observability.
Ensure AI products leverage common platforms and reusable services to prevent fragmentation and technical debt.
Guide architectural decisions across the full AI lifecycle, including data ingestion, training, deployment, monitoring, and optimization.
Establish standards for APIs, service boundaries, deployment architectures, data contracts, and AI evaluation frameworks.
Embed security, compliance, auditability, privacy, and regulatory requirements into architectural patterns from inception.
Drive adoption of security-by-design and resilience engineering practices.
Ensure adherence to PII, PCI, and governance requirements across global platforms.
Serve as trusted advisor to senior executives on architecture strategy, technology investments, vendor selection, and build-versus-buy decisions.
Develop multi-year architecture roadmaps aligned to business priorities and Mastercard enterprise standards.
Translate complex technical trade-offs into clear business recommendations for executive stakeholders.
Represent the organization in architecture governance forums and external industry engagements.
Mentor and develop principal architects and senior engineering leaders.
Foster a culture of architectural excellence, innovation, collaboration, and continuous learning.
Promote architecture as an enabling capability that accelerates product delivery and business outcomes.
Enterprise-scale ML platforms, feature stores, model training infrastructure, deployment pipelines, monitoring, and evaluation frameworks.
Production experience in AI/ML systems with a strong understanding of scalability, reliability, and model governance.
Modern lakehouse architectures, data governance frameworks, batch and streaming processing, data contracts, and multi-region data management.
Expertise in technologies such as Spark, Airflow, Delta Lake, DLT, and related ecosystems.
Multi-agent orchestration, context and memory management, policy enforcement, MCP integration, AI guardrails, evaluation pipelines, and observability.
Strong understanding of enterprise AI platform architecture and operational governance.
Cloud-native platforms, microservices, event-driven systems, Kubernetes, service meshes, APIs, and resilience engineering.
Experience designing high-scale, mission-critical distributed systems in regulated environments.
Security-by-design principles, identity and access management, threat modeling, audit controls, PCI DSS, PII governance, and regulatory compliance frameworks.
Design systems, component libraries, design tokens, micro-frontends, experience telemetry, and scalable UX platform patterns.
Systems Thinking: Evaluates decisions based on enterprise-wide impact and long-term sustainability.
Technical Credibility: Influences through deep expertise and sound architectural judgment.
Executive Communication: Translates technical complexity into business outcomes and risk-based decisions.
Strategic Foresight: Anticipates risks and opportunities before they emerge.
Collaborative Leadership: Drives alignment across product, engineering, architecture, and business teams.
Inclusive Leadership: Encourages diverse perspectives and develops technical talent globally.
Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role.
In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience.
New York City, New York: $254,000 - $407,000 USD
Everyone wants easier ways to pay; we invent them. Checkout lines are slow; we speed them along. Merchants want more sales; we give them data and insights. People need financial access; we connect them. Corporate purchasing is complicated; we make it simple. Commuters are busy; we speed them on their way. Governments need greater efficiencies; we help create them. Small businesses are virtual; we give them access to a world of buyers. Retailers want to fight fraud; we provide the tools.