In this episode of the Vantage HR Influencers Podcast, we explore how AI is reshaping total rewards by enabling smarter personalization, real-time insights, and more meaningful employee experiences.
Host Riha is joined by Aatmada Singh, Total Rewards Leader at Visteon Corporation, to discuss whether AI can truly transform traditional reward structures into tailored experiences for every employee. Together, they dive into how data and automation are helping organizations move beyond one-size-fits-all benefits, predict employee needs, improve reward fairness, and drive stronger engagement through personalized recognition, benefits, and compensation strategies.
About the Speaker
Aatmada Singh is a strategic Total Rewards leader with 18+ years of experience designing and implementing compensation and benefits programs across global organizations in IT, automotive, fintech, and telecommunications. As the Total Rewards Leader at Visteon Corporation, she drives multi-country rewards strategies, overseeing compensation design, job architecture, and incentive frameworks.
Over the course of her career, Aatmada has held leadership roles at Fujitsu, CITCO, Tata Motors Finance, and TCS, where she has delivered Total Rewards solutions across 40+ global locations. Her expertise spans long-term incentive plans, M&A rewards integration, benefits optimization, and employee engagement initiatives.
She holds certifications as a Long-Term Incentives Expert (Aon) and a Performance & Rewards Professional (Mercer), along with recent training in Generative AI applications for HR. Known for her data-driven approach and ability to build globally consistent yet locally relevant programs, Aatmada brings strong strategic insight to the evolving intersection of AI and Total Rewards design.
Timestamps
(04:01) - Everyone says AI will personalize rewards, but what’s the part HR leaders are completely underestimating about this shift?
(07:39) - When we talk about customization in Total Rewards, what are employees really expecting?
(11:31) - How do you personalize rewards for individuals without creating the perception of inequality inside the workforce?
(16:14) - Where do current Total Rewards frameworks fail when applied to a multi-generational, distributed workforce, and how can AI fix those blind spots?
(23:17) - When rewards become tailored to each individual, what new ROI metrics should HR start tracking that they’ve never tracked before?
(29:32) - Looking into the future, how different will Total Rewards look if AI matures the way we expect — and who will struggle the most to keep up?
