I am a data and AI executive with over 25 years of experience across telecommunications, financial services, healthcare, and biopharmaceuticals. Today, as Vice President of Data and AI Education at T-Mobile, I am leading efforts to transform the organization into a deeply data-informed, AI-enabled, digital-first business centered around a comprehensive enterprise upskilling program.
Previously, I served as T-Mobile’s Chief Data Officer and held senior leadership roles at Prudential Financial, Aetna, Baxalta, and Pfizer. Across these positions, I developed and implemented enterprise data strategies, governance frameworks, and compliance programs that supported both innovation and regulatory rigor. I also hold a Doctorate in Law and Policy from Northeastern University, an MBA in Global Management, and a master’s in health law.
What I have learned across these industries is that data strategy only delivers value when it is fully aligned with the business strategy. That means building relationships at every level – starting with understanding the problems our teams are trying to solve and co-developing solutions that are intuitive, measurable, and embedded in how decisions are made. When we deliver on a critical need and help business leaders succeed, we create champions. That is how sponsorship is earned and sustained.
Storytelling also plays a central role. As data leaders, our job is to make impact visible, connecting data to business outcomes like revenue, efficiency, and customer experience, in language business stakeholders understand. It is this focus on clarity and value that builds trust and drives long-term adoption.
Looking ahead, I believe we are on the cusp of a major shift. Generative AI is pushing data leaders to move beyond governance and operations and into a new role: enabling business transformation. That will mean building AI and data strategies that are not just technically sound, but aligned to business goals and designed for real-time, AI-powered decision-making. It will also require comfort with decentralization, empowering teams across the business while maintaining robust, ethical, and compliant governance.
As adoption accelerates, we will need to foster data and AI literacy at every level, build cross-functional centers of excellence, and act as strategic advisors to the business. Data leaders who rise to this challenge will not only future-proof their organizations, but help define what modern, AI-driven enterprises look like.