Massachusetts Mutual Life Insurance Company (MassMutual) announced today that Sears Merritt has taken on an expanded role heading up the company’s Enterprise Technology and Experience (ETX) organization. In this position, Merritt is responsible for leading technology-based strategies that will further accelerate MassMutual’s digital transformation, with oversight of the company’s technology and data, digital experience, platform transformation, and cybersecurity areas. He joins the company’s Executive Leadership Team, reporting to MassMutual Chairman, President and CEO, Roger Crandall.
“Utilizing technology and data in meaningful ways to meet our customers’ evolving needs and expectations is one of our biggest challenges and opportunities,” Crandall. “Since joining MassMutual, Sears has championed data-driven decision-making and tech-based solutions that have positioned MassMutual at the forefront of industry innovation, and I’m confident he will lead bold strategies that will ultimately result in a superior experience for our policyowners, customers, distribution partners, and employees.”
Merritt has been a MassMutual employee for eight years, holding various roles with increasing responsibility in the areas data science, strategy and architecture. He most recently served as Head of Technology and Data and has played a central role in developing MassMutual’s data science and analytics team. He has also been instrumental in embedding data science, machine learning, and artificial intelligence into many aspects of MassMutual’s business and operations.
Merritt received a Bachelor of Science degree in Electrical Engineering, a Master of Science degree in Telecommunications and a Doctor of Philosophy degree in Computer Science from the University of Colorado at Boulder. He is also a Master of Business Administration (MBA), from the Massachusetts Institute of Technology. Merritt is a respected industry thought leader with a strong track record of innovation, securing numerous patents and developing LifeScore Labs, an algorithmic risk score model for the insurance industry that makes the underwriting process more efficient.