Associate Director, WW Commercialization Field AI Transformation Learning, Commercialization Learning, Center of Excellence at Bristol Myers Squibb

Associate Director, WW Commercialization Field AI Transformation Learning

Working with Us Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives.

The Worldwide Commercialization Learning (WWCL) Centre of Excellence is seeking a bold, commercially minded learning leader to serve as Associate Director, WW Commercialization Field AI Transformation Learning.

This role is the single point of accountability within the WWCL CoE for the skills and behavioral change learning strategy underpinning Rewire the Field, BMS's enterprise-wide initiative to drive impactful and intelligent customer engagement through AI-enabled field transformation. Where the AD, WW Customer Engagement Platform Skills Development owns the platform and tool-layer learning, this role owns what is built on top: ensuring field teams develop the skills, mindsets, and ways of working required to maximize the value of AI-enabled tools.

While Rewire the Field defines the near-term focus, the role is designed to endure as the CoE's primary learning partner to CASA (Commercialization AI Strategy & Analytics) for the broader enterprise field AI agenda. Within the WWCL operating model it serves as the Learning Partner Lead for this portfolio, with no direct line management responsibility but access to an allocated pool of Senior Managers within the CoE.

In this role, the Associate Director partners closely with:

• CASA leadership and Rewire the Field program leadership, co-creating and aligning the skills and learning strategy to the program's priorities and change management agenda; serving as the CoE's Change Strategy Lead within the program governance structure
• Director, AI Field Capabilities and Director(s), AI Field Transformation (TA-aligned), as the primary CoE learning interface for CASA's field transformation leaders across therapeutic areas
• AD, WW Customer Engagement Platform Skills Development, as a named collaborator within the Rewire the Field governance structure, ensuring a coherent, non-duplicative end-to-end learner experience across the platform and skills layers
• LEAP delivery teams as Learning Partner Lead for this portfolio, owning demand plans, routing priorities, and portfolio-level escalation
• US and International Commercial and Medical Learning teams to ensure programs are relevant, locally deployable, and consistently executed
• Enterprise Learning and Digital Learning Solution Partner (DLSP) teams to optimize program deployment, learner journey design, and adoption tracking
• Senior Managers (CoE agile pool) providing strategic direction and delivery accountability to allocated Senior Managers supporting the portfolio

Primary responsibilities:

• Rewire the Field Learning Strategy, Change & Program Leadership
• Own the end-to-end skills and behavioral change learning strategy for Rewire the Field, translating the program vision into a coherent, phased, and measurable learning roadmap
• Serve as the Change Strategy Lead within the Rewire the Field program governance structure, leading the change management, communications, and training workstream in partnership with CASA program leadership
• Define how learning supports each solution pillar, building the skills, behaviors, and new ways of working required to maximize the value of AI-enabled tools, not simply technical proficiency
• Lead a demonstration-led adoption approach, ensuring field teams have a clear and compelling "what's in it for me" narrative for each AI-enabled capability
• Partner with the AD, WW Customer Engagement Platform Skills Development to ensure a coherent learner journey across the platform and skills layers, maintaining clear accountability boundaries
• Ensure the learning strategy remains coherent as the program evolves from near-term quick wins to longer-term capability build

Skills Strategy & Frameworks

• Translate Rewire the Field requirements and CASA's AI field capability vision into role-based skills frameworks and learning pathways for Commercial and Medical field populations
• Define the skills and behaviors required in a rewired field environment spanning AI fluency, data-driven decision making, insight-led customer engagement, and agile field workflows
• Ensure frameworks are globally consistent and appropriately flexible for therapeutic area and market nuances, with an initial US focus
• Partner with CoE Curriculum and Pathway teams to integrate Rewire the Field skills into the broader WW Commercialization skills architecture

Learning Execution & Delivery

• Drive end-to-end execution of Rewire the Field learning programs from needs assessment and design through deployment, adoption tracking, and sustainment
• Provide strategic direction to Senior Managers drawn from the CoE agile pool, ensuring clarity of brief, quality standards, and delivery accountability
• Ensure all solutions are high-impact, grounded in adult learning principles, and include reinforcement mechanisms to drive behavior change at moments that matter
• Define and track success metrics to evaluate adoption, behavior change, and business impact building the evidence base linking learning to field performance outcomes
• Maintain a forward-looking view of the active demand pipeline, reporting to the Senior Director and contributing to program governance forums

Learning Partner Lead WWCLLEAP Model

• Serve as the Learning Partner Lead for the Rewire the Field and CASA-aligned AI field capability portfolio, owning portfolio-level demand, prioritization, and routing to LEAP
• Provide requirements, SME coordination, review cycles, and delivery readiness for LEAP-delivered work
• Escalate enterprise-impacting trade-offs and manage delivery risks with structured context and recommended options to the Senior Director
• (Disclaimer: The responsibilities listed above are only a summary and other responsibilities will be required as assigned.)

Qualifications:

• Bachelor's degree required; advanced degree preferred
• 58+ years of experience in learning, commercialization, or capability development, ideally within life sciences
• Demonstrated experience designing and executing learning strategy for large-scale commercial or enterprise transformation programs
• Strong commercial and field acumen; ability to translate AI-enabled business strategy into practical skills frameworks and learning pathways
• High level of data, digital, and AI fluency able to partner credibly with CASA, analytics, and platform teams
• Proven strategic thought partner able to see the end-to-end system, co-create with senior stakeholders, and bring structure to ambiguous problems
• Demonstrated change management expertise for field-facing capability programs, including adoption narrative development and senior stakeholder engagement
• Exceptional influencing and consulting skills; able to operate credibly at senior levels in complex, matrixed global environments
• Experience with global delivery partners (e.g., LEAP/GCC or equivalent) and multi-partner delivery ecosystems
• Proven ability to drive delivery accountability and high performance through others without direct line management authority

If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

Compensation Overview:

Princeton - NJ - US: $172,550 - $209,090

The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee's work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience. Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit https://careers.bms.com/life-at-bms/.

Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. Our benefits include: