Flor has more than ten years of experience solving complex problems through effective communication and data-driven approaches. As a Senior Vice President at AlixPartners, she develops end-to-end digital solutions—spanning data engineering, analytics, and automation—across healthcare, financial services, aerospace, and retail clients, leveraging a technical stack that includes Python, SQL, Power BI, Tableau, Databricks, Azure, and Microsoft Power Platform.
Previously a scientist at the University of Buenos Aires, her background in Biomedical Engineering and neuroscience research gives her a rigorous analytical foundation that she brings to every engagement. She holds a PhD in medicine and neuroscience from the University of Buenos Aires, is fluent in Spanish and English, and is proficient in Italian.
Career highlights:
- Developed a staffing model to identify $2M+ in labor cost reduction opportunities (15%) for a $400M+ musculoskeletal clinic and surgery provider; built a headcount tracker adopted into the client's PMO workstream.
- Led the digital workstream of a fintech TRS case, building portfolio analysis, collections projections, and vintage analysis dashboards; uncovered undisclosed loan restructuring practices that increased assessed net risk exposure by 10 percentage points, directly informing advisor negotiations.
- Led the technical development of a dynamic supply chain operating model to monitor vendor health and support risk management for one of the world's largest manufacturers of aerostructures.
- Developed customer and product profitability models for clients in the veterinary products and beverage distribution sectors, identifying savings of 4–7M AUD and £7–15M GBP respectively through markup optimization, customer profitability improvements, and SKU rationalization.
- Built end-to-end back-office automation suites for multisite healthcare providers—spanning revenue recognition, payroll, compliance tracking, and operational dashboards—reducing processing times from days to minutes and enabling clients to own and operate solutions independently.
- Helped retailers gain product and competitive insights by building open web data scraping, transformation, and visualization pipelines; applied NLP to consumer reviews to extract key product features and sentiment.