Alberto is a partner in McKinsey’s Zurich office and a leader in the Global Life Sciences Practice. He advises CEOs, R&D executives, and boards on enterprise-defining transformations at the intersection of R&D strategy, portfolio and capital allocation, and operating-model redesign.
Alberto specializes in end-to-end innovation systems to materially improve productivity and speed to impact. His work typically spans portfolio governance, TA/DA strategies, value-based resource allocation, development execution engines, and capability building—helping organizations translate strategy into repeatable performance.
A distinctive focus of his work is the practical integration of AI capabilities into how organizations allocate resources, govern portfolios, and run core processes. He helps leadership teams move beyond pilots to enterprise-grade blueprints—embedding new decision systems, operating rhythms, and talent models so impact is sustained over time.
Examples of his recent work include the following:
- improving enterprise-scale productivity and speed improvements across R&D portfolios through governance redesign and value-based allocation
- transforming operating-models spanning strategy-to-execution: decision rights, rhythms, performance management, and capability building
- embedding an AI-enabled decision system (portfolio, development execution, and resource allocation) moved from proof-of-concept to embedded ways of working
Before joining McKinsey, he trained and worked as a scientist in biomedical research, which continues to inform his counsel on innovation strategy and drug development.
