Associate Director, Ready for AI Program Lead

Novartis•East Hanover, NJ

5d•$152,600 - $283,400•Onsite

About The Position

Reporting into the Director, AI Learning & Leadership Programs, this role is accountable for leading the US Commercial Responsible Data and AI learning and activation program, ensuring associates and leaders understand responsible data and AI principles, practical guardrails, workflow implications, risk management, and safe adoption behaviors. The Associate Director, Ready for AI (RAI) Program Lead is responsible for owning the RAI learning roadmap, curricula, activation moments, stakeholder alignment, learner journeys, reinforcement assets, and effectiveness measurement across US Commercial.

Requirements

Bachelor’s degree in business, organizational development, learning, healthcare, digital, or related field; an advanced degree (MBA, MS, or equivalent) is preferred.
7+ years in learning/capability building, AI adoption, risk/compliance training, digital transformation, P&O, change management, or commercial operations.
Experience translating complex policies, technologies, or compliance topics into practical learning for business users.
Strong stakeholder management, curriculum development, written communication, and facilitation skills.

Nice To Haves

Experience with responsible AI, AI governance, healthcare compliance, privacy, enterprise digital tools, or pharma commercial operations.
Experience developing scenario-based learning, leader toolkits, or AI guidance assets.

Responsibilities

Translate responsible data and AI standards into practical, role-based learning and adoption guidance for US Commercial audiences.
Design and deploy RAI curricula, office hours, scenarios, leader guides, FAQs, job aids, and reinforcement tools.
Partner with Legal, Compliance, Privacy, DDIT, P&O and Responsible AI SMEs to ensure learning reflects enterprise guardrails and business realities.
Build trust in AI adoption by addressing safe use, data handling, human oversight, quality, bias, transparency, and escalation paths.
Measure RAI awareness, completion, understanding, confidence, and application in priority workflows.