Maria Alice Cabral Maia

Runs a technical education channel on data science, ML and AI governance with 15k+ subscribers, translating complex security and AI topics for technical and executive audiences.

Diagnoses AI security, privacy and behavioral exposure across chatbots, agentic workflows and code assistants for regulated and enterprise clients, and builds the controls to supervise them. Writes security policy grounded in NIST AI RMF, MITRE ATLAS and OWASP LLM Top 10, and implements enforcement in Python.

Architected a central data lake unifying the data, BI and AI infrastructure of eight companies, including data governance, lineage and access control.

Led a 15-person product organization across four digital ventures, cutting time-to-market to four weeks and CAPEX by 98%. Owned governance of cross-functional programs including single sign-on and identity across products. Stood up data and People Analytics governance, including an algorithm with controls to reduce decision bias, backed by auditable dashboards.

Rebuilt the B2B go-to-market and sales function from scratch: +530% revenue (R$2M+) in 12 months, quota exceeded by 120%. Led a 20-person team across Sales, BI and Customer Success.

Structured the go-to-market and product portfolio for the e-learning launch, exceeding the sales target by 80% and generating R$3M+ in new technology revenue.

Founded a demand-elasticity dynamic-pricing e-commerce, scaling to 100k+ users and R$1.5M revenue, bootstrapped.

Worked in regulated financial-services environments: payments at Stone, and market intelligence and BI on sensitive banking data at Itaú.

PhD researcher in Management with a CAPES scholarship, focusing on AI oversight and governance.

MSc in behavioral science from FGV EBAPE.

Data Science program at UC Berkeley.

BSc in Business from FGV EAESP.

Executive education at HEC Paris.

Executive education at Cass Business School.