We Are:

Accenture helps the world's leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed and scale. We are a talent- and innovation-led company with approximately 799,000 people serving clients in more than 120 countries.

Accenture's Life Sciences Reinventive Enterprise practice leads AI-driven enterprise transformation at the world's leading pharmaceutical and biotechnology organizations. We deploy the Reinvention Force: a human + AI team of Transformers, Workforce Architects, and AI & Data Innovators that makes reinvention real at enterprise scale. This is a high-visibility, high-impact practice with strong momentum and a clear path to Managing Director for high performers.

You Are:

A strategic leader and trusted advisor with deep Life Sciences expertise. You are a structured problem solver with extensive consulting and industry experience. You communicate clearly and credibly with C-suite executives. You thrive in ambiguous, fast-moving environments and know how to lead a team while staying close to the work. You have driven business development and built lasting client relationships. You bring energy, resilience, and a genuine passion for building something new.

The Enterprise Change and Training Design Lead is responsible for the learning and change infrastructure that ensures the organization is ready, willing, and able to adopt the new ways of working. This role designs the enterprise-wide change and training curriculum, translates role redesigns into learning programs, and ensures training is delivered at the pace of technology change.

The Work:

Design and oversee the enterprise-wide change and training curriculum for the transformation program
Define the communications strategy across the enterprise ensuring all levels of the organization understand why, what, and how work is changing
Translate role redesigns and process blueprint changes into practical, accessible learning programs delivered at the pace of AI deployment
Coordinate training delivery alongside each new technology and AI agent release to ensure readiness before go-live
Measure training effectiveness and adoption signals adjust curriculum based on data, not assumptions
Build reusable change and training assets that can be applied across transformation programs

Travel varies by client needs and could be up to 80%