Describe your career to date
As a member of the Prudential’s global technology senior leadership team, I am responsible for Prudential’s enterprise data, analytics, and artificial intelligence (AI) function. This includes the enterprise data strategy, data management and governance, data and modeling platforms, master data management, enterprise analytics, and AI – including generative AI (genAI).
I have over 20 years of experience working with business teams and leaders to effectively use technology, data and analytics to improve or transform businesses. I joined Prudential from State Farm, serving as its inaugural Chief Data and Analytics Officer.
Prior to State Farm, I served as Vice President, Information and Analytics at Unilever, London, UK. In this role, I streamlined the data operations and reporting across 190 countries and territories. My earlier experience includes Senior Vice President of IT at Information Resources Incorporated (IRI) and I held a series of roles with increasing responsibility at Thomson Reuters, FICO and Braun Consulting.
Most recently and in addition to my role as Prudential’s Chief Data Officer, I am a co-founder and CEO of a startup company, called High Peak, which is commercializing an internal Prudential AI innovation into adjacent industries.
I hold a BA in Economics with Honors from the University of Chicago in Chicago, IL.
How are you developing the data literacy of your organization, including the skills of your data teams and of your business stakeholders?
Developing data literacy is a multi-part approach. We have deployed approaches like formal training that is fit-for-purpose based on level and role in the organization, mentoring, user groups, and on-the-job experience in agile teams. This is also part of a maturing ecosystem for change management across the businesses as more AI solutions are rolled out.
What role do you play in building and delivering conventional artificial intelligence solutions, including machine learning models? Are you also involved in your organization’s adoption of generative AI?
Prudential’s data science team partners with business, risk, technology partners to co-create strategy, roadmaps, and then deliver the results. GenAI is absolutely a key tool available to the teams, and we already have solutions in production and many more use cases under construction.
Have you set out a vision for data? If so, what is it aiming for and does it embrace the whole organization or just the data function?
Our mission and vision for data is to serve as a trusted partner to Prudential’s businesses to drive measurable financial and customer value using data. We do this by establishing and delivering technologies, tools and methodologies to unlock the value in enterprise data assets. We foster innovation enabled by emerging technologies and commercialization opportunities. And most importantly, we work hard to attract, develop and retain top talent. This is enterprise.
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