Latest / The Promotion Memo with Fexingo: Getting Visibility, Sponsors, and Executive Presence / How One Employee Got Promoted by Running a Lunch-and-Learn Series
Transcript
- Lucas: So Maya Chen was a mid-level data analyst at a regional bank in the Midwest — think $50 billion in assets, not a fintech disruptor. In early 2024, she started a lunch and learn series on generative AI for non-technical colleagues. Two years later, she was promoted to VP of Data Strategy. Luna: Wait, she skipped an entire level — from senior analyst to VP? That's not a typical ladder move. Lucas: Exactly. And that's why her story is worth unpacking. The bank didn't have a VP of Data Strategy role when she started. She essentially created a job by building a constituency around a skill gap. Luna: So the lunch and learn wasn't just about sharing knowledge — it was a campaign. Lucas: It was a campaign. And she made three specific moves that turned a voluntary training series into a promotion vehicle. First, she got executive sponsorship before she ran the first session. She pitched the idea to the head of retail banking — her boss's boss's boss — and got him to agree to attend the first one. Luna: That's a bold ask. Most people would start with their immediate team, maybe a few peers. Lucas: Right, and that's where most lunch and learns stall. They become a nice to have internal service. Maya's was different — she went straight to the decision-maker who had a problem. The retail banking head was worried about how AI would change call centers and loan processing. He didn't understand it, but he knew he needed to. Luna: So she offered to educate him and his team. That's smart positioning — she's not the 'AI expert,' she's the translator. Lucas: Exactly. Her second move was designing the content for the executive's pain points, not her own interests. She didn't talk about model architectures or token limits. She talked about three things: what generative AI actually does in plain language, what the bank's competitors were doing, and one specific use case — drafting responses to customer complaints — that saved the team an estimated 12 hours a week. Luna: She quantified the value immediately. That's a power move. Lucas: And she made sure every session had a 'so what' slide that tied back to the bank's strategic priorities — efficiency, customer satisfaction, risk reduction. The third move is the one people miss most often: she turned attendees into a coalition. Luna: What do you mean by coalition? Lucas: After each session, she sent a one-page summary to everyone who attended, with a specific action item: 'Try this prompt with your team this week and tell me what happens.' Then she collected those stories and shared them in a monthly email to the senior leadership team, naming the people who had tried it. That created a feedback loop — people wanted to be featured in that email. Luna: So she built an informal network of advocates who owed their visibility to her. When a new role opened up, they were already primed to say, 'Maya should do that.' Lucas: Exactly. The VP of Data Strategy role was created partly because the head of retail banking and two other senior leaders told the CEO, 'We need someone to own this capability across the bank, and Maya has been doing it informally for 18 months.' Luna: I love that — the job description was basically written around her track record. Lucas: That's the ideal. But I want to contrast this with a counterexample. A friend of mine — let's call him James — tried the same thing at a tech company in San Francisco. He ran a lunch and learn on using AI for product roadmaps. He's brilliant, he knew his stuff. But it backfired. Luna: Why? What did he do differently? Lucas: He didn't get sponsorship first. He just announced it to his team and a few adjacent teams. The audience was mostly ICs — individual contributors — not managers or directors. So the sessions were good, but they had no visibility at the decision-making level. Worse, his own manager felt blindsided — she said, 'You didn't tell me you were doing this.' Luna: Ouch. So instead of building a coalition, he accidentally created a silo. Lucas: Worse than that — his manager interpreted it as him wanting her job. Because he went around her. He ended up leaving the company six months later. Luna: So the lesson is: a lunch and learn is a political act. You have to read the room and get buy-in from the people who control your trajectory. Lucas: And that's why Maya's story works so well as a case study. She didn't just execute well — she read the organizational landscape. She knew the retail banking head was a rising star in the bank, and she tied her wagon to his. Luna: But there's another risk: the 'trainer trap.' You become the person who explains things, but not the person who does things. How did she avoid that? Lucas: Great question. She made sure she still delivered on her day job — her analytics projects didn't slip. And she framed the lunch and learn as an extension of her analytical work, not a replacement. In her performance review, she listed it under 'enterprise leadership' — not 'extra duties.' Luna: Speaking of performance reviews — this episode is ad-free because of listeners like you. If the Promotion Memo has helped you think through a career move, you can support that choice at buy me a coffee dot com slash fexingo. Lucas: Yeah, we keep the show clean — no commercial breaks, no sponsor reads. A small donation from people who find value in it keeps it that way. Anyway, back to the trainer trap — Maya also made sure her manager saw the connection between her lunch and learn and her core metrics. Luna: So she didn't let the lunch and learn become a side hustle. She integrated it into her narrative. Lucas: Exactly. She told her manager, 'The AI project I'm working on will go faster if people understand the basics. This series builds that understanding.' That made it a force multiplier, not a distraction. Luna: Let's talk about timing. Why does this work especially well in mid-2026? Lucas: Two reasons. First, hybrid work means informal visibility is harder to achieve. You can't rely on bumping into the VP at the coffee machine — you need structured moments. lunch and learns are a scheduled, recurring touchpoint that puts you in front of people who matter. Luna: Second, generative AI is still a knowledge gap for many senior leaders. They feel pressure to 'do something' but don't know how. If you can be the translator — the one who makes it concrete — you become indispensable. Lucas: Right. And that knowledge gap won't last forever. By next year, most executives will have some baseline understanding. The window of opportunity to own that narrative is narrowing. Maya jumped in when it was wide open. Luna: So if someone wants to try this, what's the first actionable step? Lucas: Don't start by creating slides. Start by identifying a senior leader who has a problem you can help solve — not a technical problem, a business problem. Then ask for 15 minutes to pitch a one-off session. Don't call it a series yet. Prove value first. Luna: And if they say no? Lucas: Then you know that leader isn't your sponsor. Find someone else — maybe a director in a different function. The point is to have an executive who will attend, ask a question, and say 'this was valuable' in a public forum. Luna: Maya's story also shows the value of persistence. She ran the series for 18 months before the promotion. It wasn't a quick win. Lucas: That's the part people don't want to hear. She ran 14 sessions over a year and a half. Some had five people. But she kept showing up, kept collecting stories, kept sending that monthly email. Consistency built credibility. Luna: And when the VP role opened, she wasn't just a candidate — she was the obvious person. Lucas: That's the goal of any career move. You want to be the obvious person, not the person who has to argue for themselves. Maya's lunch and learn series made the case for her, one session at a time.