Vice President, Product, AI Center of Excellence

Mastercard

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
New York, NY
Salary
$245,000–$391,000 / yr
Posted
16 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $214k
This role $318k
$135k most similar roles pay here $418k

This role pays more than 91% of similar roles. Most pay $167,875–$259,250 — the shaded band above. At the midpoint, this role pays about $318k versus about $214k for comparable roles.

Based on 240 similar postings.

Employer

About Mastercard

Mastercard is a global technology company in the payments industry, processing transactions between financial institutions and merchants using its extensive network of credit, debit, and prepaid card products. Industry: Payments Technology & Financial Services

Mastercard currently has 116 open roles on FindRole.

Listed pay typically runs $122,000–$207,000 across 104 roles with salary data.

Most-posted roles

View all roles at Mastercard

At a glance

TL;DR · Vice President, Product, AI Center of Excellence

Vice President, Product - AI Center of Excellence leads product strategy and execution for the enterprise AI platform capabilities. This leader manages a team of Product Managers to oversee the Agent Factory control plane, including agent development lifecycles, LLM enablement, evaluation frameworks, and governed AI build patterns. The role involves building tools for agent registry, prompt management, RAG patterns, tool-calling frameworks, and multi-agent orchestration while ensuring production-ready safety and observability. Key responsibilities include defining multi-year roadmaps, managing risk tiering, and establishing standard patterns for internal workflows like fraud detection and customer support. The candidate must possess expertise in generative AI, LLMs, and cloud-native infrastructure within regulated environments. They will navigate complex technical architecture, data governance, and security requirements to transform the platform into a scalable foundation for both internal use and potential commercialization.

What you'll do

  • Define and own the multi-year product strategy and roadmap for the Agent Factory and enterprise AI platform.
  • Manage a team of Product Managers to develop tools for agent lifecycle management, evaluation, and deployment.
  • Translate complex AI capabilities like LLMs, RAG, and multi-agent orchestration into practical enterprise products.
  • Oversee the Agent Factory control plane including registries, risk tiering, model gateways, and observability systems.
  • Embed responsible AI, data governance, and security requirements into the product lifecycle to ensure compliant deployments.
  • Establish standard building patterns for internal teams to create high-quality agents across various business functions.
  • Drive internal adoption of the platform through documentation, onboarding programs, and clear enablement initiatives.
  • Identify and develop AI agent capabilities that can be integrated into customer-facing products or monetized services.

What we're looking for

  • Experience owning enterprise-scale platforms, developer platforms, AI/ML platforms, data platforms, or cloud infrastructure.
  • Strong understanding of generative AI, LLMs, AI agents, RAG, prompt management, and model evaluation.
  • Experience working in regulated, security-conscious, or highly governed environments such as financial services or healthcare.
  • Ability to translate complex technical capabilities into product strategy, roadmaps, and executive narratives.
  • Strong executive communication skills to influence leaders across engineering, data, security, risk, and legal functions.
  • Experience defining product metrics, OKRs, adoption goals, and business value measures.
  • Technical fluency with cloud, APIs, platform architecture, data governance, identity/access management, and CI/CD concepts.

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