Headline Partner
Describe your career to date
My career started in computer science and finance before I went to law school. All of these skills were put to use first as the first Chief Privacy Officer for both American Express and then for Mastercard. After serving in that capacity, I became the organization’s first Chief Data Officer to assist with the innovation side of data growth. This year I have been elevated to being a Mastercard Fellow to allow me to continue to influence the global dialogue related to ethical data use, artificial intelligence (AI), and generative AI (genAI).
How are you developing the data literacy of your organization, including the skills of your data teams and of your business stakeholders?
By bringing the best of external information, trends, policymaker thinking and educational programs to the organization, we are building world class AI and genAI methodologies and enhancing our data literacy.
What role do you play in building and delivering conventional AI solutions, including machine learning models? Are you involved in your organization’s adoptions of generative AI?
I built our original AI products and solutions and governance model and created its modification for genAI. I am now bringing the best external information (including regulatory requirements) back to the organization to further our thinking.
What stage has your organization reached on its data maturity journey?
Data maturity is an ongoing journey for all organizations. While an area of focus for many years, it is an area of renewed focus to make sure our data is ready to meet the needs of genAI.
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