Director, AI & Data Strategy

Mastercard

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Purchase, NYO'Fallon, MO
Salary
$179,000–$305,000 / yr
Posted
7 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $236k
This role $242k
$164k $320k
below market most similar roles pay here above market

This role pays more than 55% of similar roles. Most pay $196,875–$276,107 — the blue band above. At the midpoint, this role pays about $242k versus about $236k 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 150 open roles on FindRole.

Listed pay typically runs $122,000–$207,000 across 142 roles with salary data.

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View all roles at Mastercard

At a glance

TL;DR · Director, AI & Data Strategy

JOB TITLE: Director, AI & Data Strategy The Director, AI & Data Strategy serves as a subject-matter expert responsible for advancing the organization's thinking, frameworks, and practices regarding artificial intelligence and data strategy. This role involves leading pioneering research, evaluating emerging developments, and providing forward-looking guidance on business, regulatory, ethical, and societal implications. Key responsibilities include championing the responsible incorporation of generative AI, agentic AI, and advanced analytics into core products and decision-making frameworks. The position requires collaborating across legal, privacy, compliance, and technology teams to embed responsible AI practices into operational workflows. Essential skills include deep knowledge of machine learning, data foundations, and model risk. The role solves the complex challenge of balancing rapid technological innovation with necessary governance, transparency, and fairness within a highly regulated global financial services environment.

What you'll do

  • Integrate generative AI, agentic AI, and advanced analytics into core products, services, and decision-making frameworks.
  • Develop responsible AI frameworks, anticipatory guardrails, and practical methods to ensure innovation and customer trust.
  • Lead pioneering research on emerging AI developments and their business, regulatory, ethical, and societal implications.
  • Embed responsible AI and data practices into operational workflows and product-development processes across the organization.
  • Monitor global regulatory requirements and industry standards to keep corporate frameworks responsive to changing expectations.
  • Create reusable assessment models, research methods, and decision tools to improve the consistency of AI strategy.
  • Promote data literacy by developing practical guidance for both technical and non-technical colleagues.
  • Mentor colleagues and build internal expertise by sharing specialist knowledge and emerging research techniques.

What we're looking for

  • Recognized subject-matter expertise in AI strategy, data strategy, responsible AI, AI governance, technology policy, or a closely related discipline.
  • Significant experience applying specialist knowledge to complex business, technology, regulatory, or societal challenges.
  • Deep understanding of generative AI, agentic AI, machine learning, advanced analytics, and necessary data foundations.
  • Demonstrated ability to lead research and horizon-scanning activities to translate emerging developments into strategic business implications.
  • Experience developing advanced governance frameworks, ethical standards, guardrails, assessment models, or responsible innovation practices.
  • Strong understanding of privacy, security, transparency, fairness, accountability, data rights, and model risk.
  • Bachelor’s degree in data science, computer science, engineering, technology, public policy, law, ethics, business, or equivalent practical experience.
  • Work authorization.

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