Our Purpose

We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion (https://www.mastercard.us/en-us/vision/who-we-are/diversity-inclusion.html) for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.

Title and Summary

Vice President, Applied AI

Job Title

VP, Applied AI

Reporting to the Senior Vice President of Applied AI Technology and working with the Mastercard Applied AI team, the VP is responsible for leading a global team of data scientists developing of AI solutions that leverage Mastercard’s unique capabilities in the payments industry. This role is responsible for value creation from data science by (a) by leading a team of data scientists, (b) leading technical best practices and pushing adoption of new technologies, and (c) designing systems to deliver new capabilities at scale.

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The Role

1/ Leading a team of data scientists

• Recruit, hire, and train distinctive data science talent with a focus on Gen AI

• Serve as a senior technical leader on the team, guiding individual contributors in their development of data science solutions

• Continuously raise the bar on the capabilities and impact of our data science solutions

• Manage a globally distributed and multi-layered data science organization to deliver at speed

• Define and enforce development practices to promote effective collaboration in Mastercard’s cross-functional AI delivery teams

2/ Leading technical best practices and pushing adoption of new technologies

• Provide expertise and raise the bar on the team’s technical solutioning to ensure scalable and accurate data science solutions

• Help the team to leverage cutting edge technologies such as LLMs, RAG, multi-modal bots, and federated learning to solve problems at Mastercard

• Rapidly and iteratively develop new solutions to prove AI value

• Develop partnerships with academic institutions and other firms to enrich Mastercard’s own data and capabilities

• Stay abreast of the latest advancements in data science, continually applying new techniques to enhance analytical capabilities.

3/ Designing systems to deliver new capabilities at scale

• Direct the design and implementation of models in production, including multiple consumption methods, retraining, tuning, label feedback, and exception monitoring.

• Collaborate with AI strategists and AI architects to optimize the capabilities of Mastercard’s AI platforms

• Align model design and management to Mastercard constraints concerning cloud vs. on-prem, data security, data localization, and responsible AI

All about you

• 10+ years of experience in AI with at least 3 in leadership.

• Ability to define target state technology architecture and roadmaps.

• Deep expertise in the latest LLM technology (GPT, Bedrock, Mistral, LLaMa, Huggingface, etc) and associated enabling technologies (RAG, vector databases, unstructured data processing)

• Deep expertise in cloud computing environments, cloud native tools, end-to-end ML pipelines in the could, and GPU-enables systems

• Extensive hands-on experience in Python, R, and CUDA

• Experience with big data platforms such as Redshift, Snowflake and Hadoop

• Extensive expertise in statistical modeling, machine learning algorithms, and predictive analytics.

• Strong knowledge of data structures, algorithms, and software engineering principles

• Demonstrated ability to balance the delivery of projects against the realities of a budget; and problem solving, project management and creative resourcefulness

• Experience in the payments domain preferred

• Master's degree or higher in computer science, analytics, mathematics, statistics, economics, industrial engineering, or physical sciences.

#AI

Corporate Security Responsibility

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.