The Content Adoption & Experience Lead is a Senior Manager -level role within Pfizer's AIA Strategy & Operations function, sitting within the Change Deployment & Adoption team reporting to the Change Deployment & Adoption Lead. This role is the dedicated change, adoption, and training owner for all AI-led initiatives impacting content creation, management, and distribution workflows across commercial audiences. Content represents a foundational and high-volume workflow within Pfizer's commercial operation — spanning field-facing materials, promotional assets, medical and scientific content, and digital channel outputs — and the adoption of AI-powered content capabilities requires careful change orchestration, audience-specific enablement, and sustained engagement with content owners, reviewers, and approvers. The role owns the full lifecycle of change and adoption for content-related AI initiatives: from strategy and stakeholder engagement through to training design, deployment, measurement, and continuous improvement — all grounded in a deep understanding of how content colleagues and commercial teams actually create, manage, and distribute content today. KEY RESPONSIBILITIES 1. Content Change Strategy & Deployment Define and own the change management and adoption strategy for all AI-led initiatives impacting content workflows and content-producing audiences, aligned to the enterprise AI Adoption framework led by the Change Deployment & Adoption Lead Develop comprehensive change management and communication plans that ensure clarity of understanding across all content stakeholders in relation to AI-led changes to content creation processes, systems, review and approval workflows, and ways of working Tailor the overarching AI Adoption framework to reflect the unique needs, content workflows, regulatory and compliance considerations, and priorities of content-producing audiences Develop standard change management and communication approaches to engage all necessary stakeholders within content teams to successfully roll out new AI-powered content tools, processes, and changes to existing ways of working Use optimal ways to engage content leadership and content owners to role model and champion new AI-led content initiatives Proactively identify acute and/or systemic change management and communication issues within content populations and manage effectively to resolution Feed change signals, adoption barriers, and lessons learned back to the Change Deployment & Adoption Lead to inform enterprise-wide strategy improvement 2. Stakeholder Engagement & Activation Build and maintain deep, trusted relationships with content leadership, commercial operations leads, and BU Leads to understand audience-specific readiness, concerns, and priorities around AI-powered content capabilities Orchestrate closely with AI product owners to ensure activation engagements for content audiences are aligned to product capabilities, roadmap timing, and launch readiness Partner with the Commercial AIA Lead and BU Leads to obtain ongoing feedback on AI content program performance and channel insights back to product teams Design and execute stakeholder engagement approaches that build awareness, willingness, and capability to adopt AI content tools across content-producing populations Identify and develop content change champions at functional leadership and team levels to amplify adoption efforts across geographies and business units Represent content audience needs in cross-functional forums, ensuring content-specific considerations — including review, approval, and compliance workflows — are incorporated into AI product design and rollout planning 3. End-to-End Project Planning & Execution Create and maintain the end-to-end project plan for each AI-led initiative impacting content audiences, covering scope, milestones, owners, dependencies, and success criteria Track project plans to ensure deliverables and milestones are delivered to schedule; proactively escalate risks and develop mitigation plans Identify and manage program interdependencies across the AI portfolio that affect content audiences, coordinating with other Adoption & Experience Leads to align sequencing Manage multiple concurrent programs and product launches, maintaining execution quality and timeline discipline across all 4. Training Creation & Deployment Design and implement training programs to support adoption of AI-powered content tools and processes, tailored specifically to the needs, workflows, and content responsibilities of commercial content colleagues Own the end-to-end development of training content for each AI product relevant to content audiences — including e-learning modules, live facilitated sessions, job aids, quick reference guides, videos, FAQs, and embedded workflow tools Create and maintain user-friendly training materials that support onboarding to new AI content tools and ongoing engagement as products evolve Establish a training content lifecycle process for content materials — including version control, refresh triggers tied to product updates, and retirement of outdated content Coordinate training delivery across content teams and geographies, leveraging virtual and in-person formats to maximize reach and effectiveness Ensure training delivery is sequenced and coordinated with product launches, capability releases, and field activation milestones Manage any external vendors or staff augmentation resources contributing to content training, ensuring quality, consistency, and on-time delivery 5. Adoption Measurement & Continuous Improvement Define and track adoption and training effectiveness metrics specific to content audiences (e.g., tool activation rates, training completion, proficiency assessments, post-training adoption lift, field feedback scores, content output quality indicators) Monitor adoption metrics and training feedback on an ongoing basis, using insights to refine content, adjust deployment approaches, and improve the user experience Translate data into actionable recommendations that continuously improve activation quality and demonstrate measurable business impact for content audiences Report adoption progress, risks, and insights to the Change Deployment & Adoption Lead on a regular cadence, contributing to enterprise-level reporting Systematically capture lessons learned from each program and use them to improve the next launch within the content segment 6. Cross-Functional Collaboration & Enterprise Connectivity Serve as the subject matter expert on content audience dynamics and AI-powered content workflows within the AIA Change & Adoption team Collaborate with peer Adoption & Experience Leads (Field, GAV/ Tier 2, Marketing) to share best practices, align on shared tools, and maintain consistency in the stakeholder experience across segments Contribute change signals and adoption insights from content audiences to the enterprise adoption framework, helping each program make the next one smarter Support the Change Deployment & Adoption Lead in enterprise-level stakeholder reporting, strategy planning, and Rhythm of Business activities QUALIFICATIONS Basic Qualifications BS/ BA required with 5 years of commercial industry experience or equivalent, with at least 3 years in change management, adoption, training, or organizational transformation roles Demonstrates use of AI as first approach Demonstrated experience developing change management and communication plans for content-producing and commercial audiences in a large matrixed organization Strong understanding of commercial content operations, including content creation, review, approval, and distribution workflows Experience designing and deploying training programs for commercial audiences, with a preference for experience in content-related workflows Demonstrated ability to manage multiple concurrent programs to schedule in a fast-paced, matrixed environment Strong stakeholder management and communication skills; ability to engage and influence without direct authority Experience working cross-functionally across Commercial, Digital, Medical, Regulatory, and Operations teams Preferred Qualifications MBA or advanced degree preferred Experience working within or alongside commercial content, medical affairs, or creative operations functions in a biopharma context Prosci ADKAR, Kotter, or equivalent change management certification Experience with AI or digital tool adoption programs at commercial scale, particularly in content creation or management contexts Familiarity with AI-powered content platforms, DAM systems, generative AI tools, and e-learning development tools Familiarity with LMS platforms (e.g., Workday Learning) and e-learning development tools Operations certificate in Lean Management, Six Sigma, or Business Process Management a plus Track record of strong project management and stakeholder networking across organizational verticals