Informacje o stanowisku

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, innovation, partnerships, and networks combine to deliver unique products and services that help people, businesses, and governments realize their greatest potential.

Title and Summary

Consulting Director, AI Strategy

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, innovation, partnerships, and networks combine to deliver unique products and services that help people, businesses, and governments realize their greatest potential.

Position Overview

Reporting to the Principal and working closely with the Mastercard AI team, the Senior Managing Consultant/Director, AI Strategy will lead AI-driven consulting engagements for clients, especially card issuers and other financial services organizations. You will lead multidisciplinary teams of data scientists, ML engineers, and business strategists to develop long-term strategies for AI solutions that transform client approaches to analytics, automation, and value creation.

Key Responsibilities

1. Develop AI-Driven Strategies for Business Impact
   • Identify high-impact AI and analytics opportunities within client organizations, with a focus on payments and card issuing.
   • Quantify the value potential of AI solutions, including value levers, dependencies, and feasibility to maximize ROI.
   • Design end-to-end AI solutions with expertise in data engineering, solution design, and domain knowledge.
   • Secure alignment from executive stakeholders and translate AI visions into actionable plans with clear metrics.
   • Scale AI initiatives across multiple use cases, addressing technical and organizational hurdles.



2. Lead Rapid, Iterative AI Delivery
   • Oversee project roadmaps with AI and ML engineering leaders, ensuring iterative development and stakeholder updates.
   • Collaborate with business leaders for solution co-ownership, feedback, and scope adjustments.
   • Balance technical feasibility with strategic value, avoiding unnecessary complexity.
   • Support client teams with change management and AI expertise to ensure value realization.



3. Expand Thought Leadership & External Network
   • Publish and present on AI methods and industry insights through whitepapers, conferences, and articles.
   • Build a network of AI experts, industry leaders, and academic partners to stay at the forefront of AI trends.
   • Advise on AI ethics, governance, and regulatory considerations in financial services.
   • Participate in industry forums and events to enhance the firm’s reputation and generate new business.



4. Innovate & Scale the AI Operating Model
   • Develop new frameworks and methodologies to improve AI project delivery speed and consistency.
   • Create reusable assets like templates and playbooks for internal teams.
   • Mentor junior colleagues and foster a collaborative AI community.
   • Ensure alignment among data science, engineering, and business teams for holistic solutions.

Qualifications & Skills

• 8+ years of experience leading data-driven strategies with measurable outcomes, preferably in financial services, payments, or card issuing.
• Hands-on experience with GenAI, including deploying use cases with open source LLM models like Deepseek or Liama.
• Proven thought leadership through publications, speaking engagements, or innovative AI solutions.
• Excellent communication skills, capable of translating complex AI concepts for non-technical stakeholders.
• Familiarity with agile methodologies and modern project management practices.
• Deep understanding of the payments ecosystem and operational challenges in card issuing.
• Experience managing teams and mentoring talent.
• Bachelor’s degree in computer science, engineering, or related fields; Master’s preferred.

Why Join Us

• Impact at Scale: Work with top-tier clients on transformational AI initiatives.
• Thought Leadership: Shape industry perspectives and build an influential network.
• Professional Growth: Enhance leadership and technical skills on cutting-edge projects.
• Innovative Culture: Contribute to a dynamic environment that values experimentation and knowledge sharing.

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks carry inherent risks. Every employee must:

• Abide by Mastercard’s security policies and practices.
• Ensure confidentiality and integrity of accessed information.
• Report security violations or breaches.
• Complete mandatory security trainings as per guidelines.

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