AI Enablement and Adoption Lead, Strategy and Operations, Specialty Care GBU

Job Title: AI Enablement and Adoption Lead, Strategy and Operations, Specialty Care GBU

Location: Cambridge, MA or Morristown, NJ (Hybrid - 3 days a week in office; 20% travel expected)

• Executive Enablement & Reverse Mentoring
  • Build the AI fluency of the Specialty Care GBU leadership team through hands‑on coaching, reverse mentoring, and working sessions.
  • Sit alongside senior leaders on real work—strategy reviews, planning cycles, board and ExCo pre‑reads—showing how AI changes the task rather than abstract tool demos.
  • Translate practices from other business units and industries into practical habits the leadership team can adopt now.
• Adoption of AI Platforms & Ways of Working
  • Drive real, sustained adoption of the AI systems and platforms already approved for use across the GBU.
  • Redesign recurring leadership and team workflows—reporting, analysis, meeting preparation, synthesis—around AI and embed the new approach for long‑term use.
  • Identify high‑value use cases across the leadership agenda, prioritize them, and carry them from pilot to routine use.
  • Stay current on new and emerging AI tools and features, judge usefulness for the leadership team, and translate into practical application.
  • Partner with Digital, Data, and AI functions to bring enterprise capabilities into the GBU and feed back leadership needs.
• AI Culture & Community
  • Set a tone for a confident, curious, and responsible AI culture across the leadership team and the teams they lead.
  • Build and run an internal network of practitioners and champions so good practice spreads independently.
  • Create lightweight resources—prompts, playbooks, worked examples—calibrated to senior pharma users.
• Responsible & Compliant Use
  • Ensure new ways of working respect GBU regulatory, privacy, data‑protection, and information‑security obligations.
  • Partner with Legal, Compliance, Privacy, and AI governance to keep adoption within lines.
  • Build leaders’ judgment about where AI helps, where it must not be used, and how to check its output, especially for regulated content and confidential data.
  • Escalate gaps in policy or guardrails rather than work around them.
• Measurement & Impact
  • Define adoption and value metrics—usage, time saved, quality, decisions improved—and connect activity to outcomes leaders care about.
  • Report progress and impact to the Head of Strategy & Operations and leadership team.
  • Capture what works and reuse it to accelerate adoption across GBU franchises and functions.

• Bachelor’s degree required; technical, scientific, and business backgrounds preferred.
• Advanced degree or formal AI or data credential is a plus.
• 5+ years of experience with a clear track record of putting AI tools and AI‑enabled ways of working into real use inside an organization.
• Hands‑on, current command of today’s AI systems—large language models and assistants such as enterprise tools built on GPT, Claude, Gemini, or Copilot—and a working understanding of agentic and no‑code or low‑code approaches.
• Demonstrated experience changing how people work: driving adoption, running enablement, or leading change, ideally with senior or expert audiences.
• Experience in pharma, healthcare, or another regulated, knowledge‑intensive environment is valued; comfort working within compliance and data‑handling constraints is essential.
• A positive disruptor who has visibly moved a team or function from curiosity to genuine, daily use.

• AI fluency: deep, practical, and current, able to make leaders more effective in the same session.
• Translation: turn technical capability into plain‑language value for non‑technical senior people.
• Adoption focus: cares whether things are actually used and whether they change outcomes.
• Responsible‑use judgment: knows where regulatory and ethical lines sit and works inside them.
• Agility: comfortable with ambiguity and a fast‑moving field, staying current as tools change.
• Leadership skills: influence without authority, earning trust of senior people.
• Communication: explains and persuades clearly, adjusting to executive attitudes.
• Collaboration:
  
  works well through the matrix and partners closely with Digital, Data, AI, and Strategy &…