Stephanie Colores

Where the Career Began

Stephanie did not stumble into the profession. She entered college studying human resources, and talent acquisition was baked into that path from the start. The difference between her and many peers is that she never treated recruiting as a rotation to pass through on the way to something more strategic. She treated it as the origin point of strategy itself.

That conviction was forged at Procter & Gamble, where she served as the talent leader for Mexico. The scope was broad by design: manufacturing and commercial functions, interns and experienced hires, a pipeline that had to serve an entire national organization. She still describes it as a great experience, and it left her with an instinct that has carried through everything since, which is that hiring decisions compound. Get the front of the process wrong and every downstream effort is spent compensating.

Rebuilding Talent Attraction at Global Scale

The capstone of her corporate career was a global growth and transformation project that changed how the enterprise attracted talent. Stephanie worked on redefining the company's global talent attraction strategy and building the capabilities behind it, so that a function once measured on filling roles could be measured on shaping the workforce the business would need next.

That mandate ran alongside the enterprise's digital transformation and AI implementation, and Stephanie sat on both sides of it, helping bring AI into the talent function while the broader organization adopted the same technologies. It is where her current vantage point was formed: seeing what the tools did to a funnel at global scale, and learning firsthand that the technology only delivered when the strategy and the people changed alongside it.

What AI Actually Changed

Stephanie is clear eyed about the gains. A significant amount of talent acquisition work has been simplified by leveraging AI, particularly the automation of first steps such as scanning and reviewing candidates. That, she notes, frees recruiters to focus on the conversations and on genuinely understanding the people who have been identified. The time savings are real.

But she keeps returning to a harder question. Organizations are seeing an overflow of applications, and AI compresses the time needed to handle it. So the metric everyone celebrates is speed. The metric almost nobody measures is loss. "How many of those applicants we're really losing in the way" is the question she puts to clients, because if the skills, the criteria, and the role definition are not rigorous at the outset, the system will quietly filter out qualified people at machine scale.

Her prescription is unglamorous and difficult: be relentlessly clear at the beginning about what you are looking for, what skills matter, and what job actually needs to be done. "It's very important to ensure then that the technology works for you to the benefit," she says. The tool inherits the quality of the thinking that configured it.

The Integrated Ecosystem

The thesis behind Strategic Connexus is that no single component solves the problem. "Technology is not the final solution," Stephanie says. "I think it's the connection between strategy, people, and technology that is really going to make the change." Her consultancy is built to think in the full integrated ecosystem rather than in isolated tool purchases, chasing bigger impact, better simplification of how the work gets done, and, in her framing, a better life alongside it.

It is a notably humane ambition for someone who spends her days on AI implementation, and it explains the advice she offers other talent leaders. Keep learning, she says, and keep learning something new every day. Leverage AI, because the benefit is genuine. Then do the part most organizations skip: question and challenge what you intend to do with the time you just freed up. Her recommendation is to reinvest it in rethinking how to connect better with candidates and how to maintain the human touch through the recruiting process.

That is the through line of a 23 year career, from a talent desk in Mexico to an AI advisory practice in Cincinnati. The technology changes constantly. The obligation to actually know the person on the other side of the process does not.