Angela Giannantonio
Chief People Officer Travere Therapeutics, Inc.
Angela Giannantonio is Chief People Officer at Travere Therapeutics, where she leads the people strategy supporting the development of life changing therapies for patients with rare diseases. A seasoned HR executive, Angela brings deep experience from organizations including Alexion, AstraZeneca Rare Disease, and athenahealth, and is known for building mission driven, high performing cultures in fast growing, global environments. She is an accessible and trusted leader who translates business vision into people initiatives that strengthen leadership, engagement, and impact.
Seminars
- How can organizations sustain, and even strengthen, culture and engagement while navigating reductions in force, commercial scale‑up and regulatory pressure?
- Discover how Travere Therapeutics embedded patient-centricity, compassionate leadership, and transparency to guide teams through two reductions in force while maintaining focus, trust, and performance
- By leveraging Glint engagement and NPS data, Travere achieved an increase across every culture survey question and a +7 point cumulative culture score uplift post‑RIF, demonstrating a clear ROI between values‑led leadership, engagement, and business readiness ahead of FDA approval
This interactive Q&A explores the intersection of coaching-led performance culture and AI-enabled development, two approaches that between them represent the most significant shift in how organizations are managing talent growth right now.
Participants will examine how these models work alongside each other, where they create tension, and what it takes to build a development culture that is genuinely coaching-first and AI-ready at the same time.
- How do you embed a coaching mindset in managers who were promoted for technical expertise, not people skills?
- What does an AI-enabled development ecosystem look like in a mid-sized biotech without enterprise-scale resources?
- How do you ensure AI-powered skills intelligence translates into different development decisions, not just better data?
- Where does the coaching-first approach and the AI-enabled approach most naturally reinforce each other, and where do they create friction?
