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About the Role

This role is responsible for ensuring architectural coherence, technical excellence, and long-term scalability across Mastercard's Applied AI, Data & UX portfolio, enabling the rapid delivery of secure, world-class AI and data products at global scale.

Responsibilities

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.

Requirements

15+ years of software engineering experience with 8+ years in enterprise, platform, or systems architecture roles.
5+ years of senior technology leadership experience managing architects and engineering leaders within global, matrixed organizations.
Proven track record developing and executing architecture strategies across complex, multi-platform environments.
Deep expertise in AI/ML engineering, data platforms, distributed systems, cloud-native architecture, and enterprise governance.
Experience within financial services, payments, fintech, or other highly regulated industries.
Demonstrated success influencing executive stakeholders and driving decisions through technical leadership rather than formal authority.
Experience leading strategic platform evaluations, vendor assessments, and build-versus-buy decisions.
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
Experience building large-scale AI products, commercial data platforms, or agentic AI systems.
Knowledge of payments technology ecosystems and enterprise-scale platform architectures.
Expertise in AWS, Azure, GCP, Kubernetes, and multi-region deployments.
Experience establishing or leading Architecture Review Board functions.
Industry thought leadership through publications, conference speaking, standards participation, or open-source contributions.
Master's degree in Computer Science, Engineering, or MBA.

Skills

AI/ML Architecture
Enterprise-scale ML platforms
Feature stores
Model training infrastructure
Deployment pipelines
Monitoring
Evaluation frameworks
Production experience in AI/ML systems
Scalability
Reliability
Model governance
Data Platforms
Modern lakehouse architectures
Data governance frameworks
Batch and streaming processing
Data contracts
Multi-region data management
Spark
Airflow
Delta Lake
DLT
Agentic & AI Infrastructure
Multi-agent orchestration
Context and memory management
Policy enforcement
MCP integration
AI guardrails
Evaluation pipelines
Observability
Enterprise AI platform architecture
Operational governance
Distributed Systems & Cloud Architecture
Cloud-native platforms
Microservices
Event-driven systems
Kubernetes
Service meshes
APIs
Resilience engineering
High-scale, mission-critical distributed systems
Regulated environments
Security & Compliance
Security-by-design principles
Identity and access management
Threat modeling
Audit controls
PCI DSS
PII governance
Regulatory compliance frameworks
UX Platform Architecture
Design systems
Component libraries
Design tokens
Micro-frontends
Experience telemetry
Scalable UX platform patterns
Systems Thinking
Technical Credibility
Executive Communication
Strategic Foresight
Collaborative Leadership
Inclusive Leadership

Location

New York City, New York

Work Type

Full-time

Experience Level

Vice President
Senior Technology Leadership
15+ years of software engineering experience
8+ years in enterprise, platform, or systems architecture roles
5+ years of senior technology leadership experience

Education Level

Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience
Master's degree in Computer Science, Engineering, or MBA

Salary/Compensations

$254,000 - $407,000 USD

Benefits

Insurance (including medical, prescription drug, dental, vision, disability, life insurance)
Flexible spending account and health savings account
Paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave)
80 hours of Paid Sick and Safe Time
25 days of vacation time
5 personal days
10 annual paid U.S. observed holidays
401k with a best-in-class company match
Deferred compensation for eligible roles
Fitness reimbursement or on-site fitness facilities
Eligibility for tuition reimbursement

About the Company

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.

Equal Opportunity

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: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.