Director, AI Governance in England

Description

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 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

Director, AI Governance Overview
The Data Strategy and Management team is looking for a Director, AI Governance to drive our Responsible AI strategy forward by consistently innovating and problem-solving. The successful candidate will report to the Vice President, Data Strategy, in the office of the Chief Data Officer. The ideal candidate is passionate about Responsible Tech, intellectually curious and collaborative.

In this exciting and responsible role, you will:
- Assess and mitigate project risk, by reviewing data science projects for risk (e.g. bias risk), analyzing artifacts including model evaluation results, and recommending risk mitigation strategies.
- Identify opportunities to improve AI Governance processes, making them clearer, faster to work with and more comprehensive.
- Work with data science leaders, engineering, legal and risk management partners, as well as external and internal researchers, to drive improvements and innovative research in Responsible AI.
- Realize your personal values and Mastercard's AI Ethics and Data Ethics principles, by advancing strategic objectives that include defining standards and guidance, implementing AI regulatory requirements, developing and sponsoring new tools and capabilities.
- Participate in the Responsible Tech community and help shape Mastercard's thinking on Responsible AI.

Ideally, you:
- Have experience creating machine learning or statistical model-based solutions as part of a team.
- Have an eye for detail and an interest in analyzing data and solutions to understand them. Ideally, you care about solution quality and reproducibility.
- Possess the emotional intelligence and negotiation skills required to productively work with a diverse range of technical and business-focused partners.
- Are skilled at explaining complex or technical problems succinctly and clearly.
- Are located in the Eastern or Central time zone.

The following is also desirable:
- Experience using Python tools and modern machine learning frameworks to develop and deploy models.
- Experience managing live/deployed models and a knowledge of ML Ops best practices and tooling.
- Awareness of and interest in trends in Artificial Intelligence, as well as a view on their regulatory or ethical import.
- Interest in opportunities to show thought leadership and engage with public audiences through participation in events, writing and collaboration.

#LI-TL
#LI-REMOTE In the US, Mastercard is an inclusive Equal Employment 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. If you require accommodations or assistance to complete the online application 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.

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.

Pay Ranges

O'Fallon, Missouri: $167,000 - $258,000 USD New York City, New York: $200,000 - $310,000 USD Purchase, New York: $192,000 - $297,000 USD Seattle, Washington: $192,000 - $297,000 USD

 Apply on company website