Senior Manager, Digital Health Innovation Catalyst

Trzdev36

Ai accelerator design and scaling
Drive design from 0 to 1
Enterprise-level ai accelerator
Drive design from 0 to 1, kick off, and scale an enterprise-level AI Accelerator

Job Summary

  • Drive design from 0 to 1, kick off, and scale an enterprise-level AI Accelerator.
  • Design the end-to-end operating model and medium-to-long-term roadmap for an organization-wide Innovation Camp (Accelerator), ensuring clear themes, selection criteria, governance gates, and measurable outcomes.
  • Partner closely with Innovation Product and Project Lead on AI project milestones, budgets, resources, and scaled releases - connecting the dots from MVP to operational rollout and continuous improvement.

Matching Summary

Drive design from 0 to 1, kick off, and scale an enterprise-level AI Accelerator.

Skills & Requirements

Must-have

  • AI Accelerator design and scaling
  • drive design from 0 to 1
  • enterprise-level AI Accelerator
  • Agentic AI adoption
  • end-to-end operating model
  • culture and capability building
  • cross-team collaboration
  • AI project milestones, budgets, resources
  • stakeholder communication and engagement
  • innovation tools and practices
  • digital and AI application scenarios

Nice-to-have

  • ignite the culture and design the mechanisms
  • deliver with an end-in-mind, impact-first
  • safe-to-experiment, fast-iterate culture
  • connect and accelerate the path from MVP to steady-state operations
  • continuous iteration and high-quality delivery
  • AI supplier/technology partner negotiation

Key Requirements

  • experience in designing and advancing digital health innovation and AI-enabled processes
  • solid pharmaceutical background
  • strong interest in AI, digital health, clinical operations innovation tools or platforms
  • experience in workshop design and facilitation
  • end-to-end operating model capability
  • event organization and culture building capabilities
  • Agile working methods
  • familiarity with AI/ML lifecycle, risk, and compliance
  • ability to clearly interpret AI/ML to non-technical audiences
  • strong cross-departmental collaboration and communication skills
  • excellent communication and storytelling skills
  • results-oriented, innovative mindset, pragmatic and efficient
  • strong influence and interpersonal communication
  • experience with Agentic AI implementation in business scenarios

Work Rights

Not specified

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