It’s Tuesday afternoon and you’ve just clicked “Buy Now” on Amazon. A new pair of those bone-conduction headphones that everyone’s talking about. You’re a runner, and these are perfect—they’re sweat-resistant, they don’t clog up your ears, and they still let you hear what’s going on around you. You can already picture wearing them on your next run.
Within seconds of hitting “confirm order,” you’ve got that date locked into your brain: Arriving Thursday, 3-5 p.m. You don’t just read it—you believe it. You absorb it like an edict handed down from a mountaintop. A contract between you and the universe. And you build your next two days around it.
So, when Thursday comes and no package lands on your porch, something in you short-circuits. The universe has broken its promise. Except it wasn’t the universe; it was Amazon. And it wasn’t a promise; it was an estimated delivery window. You get home from work and no headphones. No dopamine hit from that little white-and-blue package. Now you don’t even want to run anymore. You just want to order Domino’s and sulk.
The two-day delivery window has quietly become one of the most trusted contracts in modern life. Something that we don’t just rely on but pin our very well-being on. And for a crop of Vanderbilt MBAs, they’re learning just how real this contract is, and how slim the margins are between its success and failure. Because at Amazon’s scale, a few meager seconds at the warehouse can mean the difference between an on-time delivery and a frustrated customer longing for their missing bone-conduction headphones. Four seconds and your package arrives on time. Five seconds and you’re digging into a plate of Domino’s.
Benoni Quaye, MBA ’26, witnessed this reality firsthand. After almost a decade in banking—working as a customer experience officer, fixed income and currency trader, and balance sheet manager—he came to Vanderbilt Business because he wanted to pivot into a career in operations and people leadership, even though he had little experience in either. In less than two years, he was working inside an Amazon fulfillment center trying to solve the kinds of problems that can quickly multiply across an operation of such enormous scale.
He found his way to this job through Amazon Pathways, an MBA-level leadership development program that places students in operations management roles—roles that come with significant responsibility right from the start. It’s a program Vanderbilt Business students have come to know well, and have found remarkable success in. Over the past decade, Amazon has become one of the largest employers of Vanderbilt Business students, with more than 50 of them having been through the Pathways Program. This has created a pipeline supported by campus recruiting, the Career Management Center, and a growing network of alumni who’ve all completed the program themselves.
As an intern, Quaye, one of the many Amazon Pathways success stories from Owen, was introduced to SLAM—Scan, Label, Apply, Manifest—Amazon’s outbound process and one of the dozens of micro-processes that have to run like clockwork to keep those delivery promises on track. His job was to cut down “blocked time” at his Amazon fulfillment center—basically, moments when the package-sorting system sits idle because of backups downstream. When he started, the site had the worst blocked-time rate in its region, at 19.18%.
Quaye worked with the operations team to find the causes—jams, congestion, and a scheduling gap during breaks—and test fixes. The result: blocked time dropped to 16.96% across the site, and as low as 9.03% in pilot areas, cutting the problem by more than half. The changes also reduced late deliveries by about a third and are expected to save the facility hundreds of thousands of dollars a year.
“Amazon doesn’t give you just any project,” he says. “They give you one of their biggest problems and three months to solve it.” His Vanderbilt Business coursework, he says, gave him the tools to take on that challenge.
Taylor Tjosaas, MBA ’27, discovered a different version of the same lesson. Before business school, he had spent years making high-pressure decisions in military and civilian search and rescue. And though he wasn’t actively searching for an operations career when he arrived at Vanderbilt Business, his conversations with recruiters introduced him to Amazon’s Pathways program, and the role felt surprisingly familiar. The environment may have been new, but the expectation to lead was not. And the softer skills he acquired at Vanderbilt Business, combined with his classroom experience, helped him jump into the deep end. “That blended experience was pivotal to my early success at Amazon,” he says.
Tjosaas’ knack for understanding bottlenecks helped him identify what needed to change. But implementing those changes required the skills he’d developed across the MBA program. Leadership Through Organizations helped him think about motivating teams. Management Communications helped him explain changes effectively. Management Statistics helped him use data to demonstrate whether those changes were working. And those technical and interpersonal pieces weren’t separate; each depended on the other.
MBA students can learn analytics, operations, communication, and leadership separately, but the workplace rarely separates them. A problem that begins with data can quickly become a problem of communication, judgment, or trust. For Quaye and Tjosaas, Pathways offered a chance to put all of those skills to work at once—and to see what happens when the lessons leave the classroom.
For Quaye, that experience turned a summer internship into a new career. He received a full-time offer from Amazon and is now based in Kansas City, completing the transition from financial trader to operations leader that he was looking for when he came to Vanderbilt Business. Tjosaas left with something different: a way to translate years of leadership experience into a corporate setting and proof that the skills he brought to Vanderbilt Business could work in an entirely new environment.
Their paths are different, but both learned that impact doesn’t always come from one dramatic moment. Sometimes, it’s a conversation that gets a team moving. Sometimes, it’s finding the right story in the data. And sometimes, it’s shaving four seconds off a process so that those headphones make it to your porch by 5 p.m.—and you make it out on that run before Domino’s starts looking like the better option.