Alexis Macías is a Senior Managing Data Scientist and AI Architect with over 15 years of experience designing and scaling enterprise-grade AI solutions across telecommunications, energy, manufacturing, and financial services. She holds four bachelor’s degrees in Applied Mathematics, Actuarial Science, Computer Science, and IT Administration, and has led high-impact AI initiatives focused on large-scale data platforms, agentic AI systems, and responsible AI adoption.
At IBM Consulting, Alexis specializes in production-grade AI architectures, AI governance, and enterprise transformation, while also serving as a mentor to emerging technologists and women leaders. She is passionate about making invisible technical labor visible and helping women claim recognition for the critical work they do behind the scenes in AI systems.
1. Are you excited to speak at the Women in Tech Global Conference and what motivated you to join our community of 200,000 women in tech and allies?
Absolutely. I’m deeply excited and honored to speak at the Women in Tech Global Conference. WomenTech represents something incredibly powerful to me: visibility, community, and collective momentum for women who are building, leading, and shaping technology - often without recognition. What motivated me to join this community is its commitment to amplifying women’s voices globally and creating space not just for inspiration, but for real, lived experience in tech leadership.
2. Share with us about your background, your journey in tech, and what inspired you to develop your career in this direction.
My journey in tech has been driven by curiosity, resilience, and a desire to build systems that actually work in the real world. I have a multidisciplinary academic background across applied mathematics, actuarial science, computer science, and IT administration, and over 15 years of experience designing and deploying large-scale AI and data platforms across industries such as telecommunications, energy, manufacturing, and financial services.
What inspired me to stay in this field - and grow into leadership - was realizing how often critical technical and strategic work happens behind the scenes, especially when done by women. I wanted to be someone who not only builds complex AI systems but also mentors, sponsors, and opens doors for others navigating similar paths.
3. Why is the topic “The AI Work Women Do That No One Sees” important to you?
This topic is deeply personal. Throughout my career, I’ve seen women consistently take on the invisible labor of AI: risk mitigation, ethical considerations, stakeholder alignment, governance, data quality, operationalization, and keeping systems from failing quietly in production. This work is essential, yet rarely celebrated or credited.
“The AI Work Women Do That No One Sees” is about naming that labor, validating it, and reframing it as leadership - not support work. Visibility matters because what remains unseen often goes unrewarded. This talk is my way of helping change that narrative.
4. Who would you advise to attend the Women in Tech Global Conference and why?
I would strongly encourage women at all stages of their careers - engineers, data scientists, architects, product leaders, and executives - to attend, as well as allies who want to build more equitable and effective technology organizations. This conference is especially valuable for those who want to grow beyond individual contribution into influence, leadership, and impact. WomenTech creates a rare space where ambition, authenticity, and technical excellence coexist.
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