Sr. Director, Digital Engagement, Enablement & Experiences

Pfizer • New York City, NY

5d • Hybrid

About The Position

We are seeking an inspiring people leader with a deep passion for AI engagement and enablement. In this role, you will lead a team that designs and delivers AI engagement programmes, helping colleagues across the organization discover, understand, and confidently apply AI tools in their daily work. You will serve as a champion for AI adoption, translating complex AI capabilities into accessible, human-centred experiences that spark curiosity and drive lasting behavioural change. You will act as a bridge between the technical AI landscape and the people who use it, making AI tangible, practical, and compelling for diverse audiences. You will find imaginative ways to introduce new AI technologies, support teams through the cultural shifts that come with AI adoption at scale, and influence AI enablement strategy across the organization. Leading a top-tier engineering and experience team, you will create interactive experiences built on the platforms provided by Digital & Technology, bringing AI capabilities to life in ways that resonate with colleagues at every level. Success in this role requires proven experience leading technical organizations. This role encompasses cross-functional engagement with enterprise-wide influence. You will shape AI adoption strategy, sponsor enablement programmes, and be a recognized thought leader in human-centred AI adoption. You will handle cross-team dynamics to ensure AI tools and ways of working are understood, embraced, and applied effectively across the organization. You will also be responsible for working with the Digital & Technology AI Platform team to ensure that user feedback, feature improvements and usability patterns are communicated back through the Digital organization to help evolve the offerings available for all organizations.

Requirements

• Bachelor's degree in Computer Science, Engineering, or related field with 12+ years of relevant experience.
• Expert-level skills in Business Immersion: Recognized thought leader who influences strategy across business stakeholders, exemplifies a strong business immersion mindset, and shapes how engineering engages with the organization.
• Expert-level skills in Organizational Navigation & Influence: Navigates the Digital & Technology organization with confidence, building the relationships, alliances, and credibility needed to advance the team's agenda. Negotiates and partners effectively with other Digital leaders to secure resources, align priorities, and clear the path for the team's success.
• Expert-level skills in Multi-Audience Communication: Shapes communication practices across the organization. Represents engineering externally, communicates at board and executive level, and is recognized as an exceptional communicator who bridges any audience gap.
• Expert-level skills in Problem Discovery: Shapes approaches to problem discovery across business stakeholders. Recognized for transforming ambiguous situations into clear opportunities, influences how teams engage with business problems, and is the go-to person for the most undefined challenges.
• Expert-level skills in Communicate with Precision: Recognized authority on AI communication across all audience levels, from frontline colleagues to executive leadership; drives clarity and confidence in AI conversations; represents the organization externally on AI adoption topics.
• Expert-level skills in Stakeholder Management: Shapes stakeholder practices across the organization. Manages executive relationships, represents engineering at the highest levels, and is recognized for exceptional stakeholder partnerships.
• People Manager Skills: Setting clear direction for the team, aligning people around shared goals, and ensuring strong communication to drive collective success. Developing talent, fostering collaboration, and creating an environment where individuals feel empowered to perform at their best.
• People Manager Skills: Creates collaborative culture in the team. Transforms dysfunctional team dynamics, is recognized for building exceptional teams, and mentors others on collaboration excellence.
• People Manager Skills: Grows experts and leads knowledge management initiatives across the team, creates knowledge systems and taxonomies, establishes practices that make institutional knowledge persistent, and mentors others on knowledge sharing.
• People Manager Skills: Protects focused time of direct reports for complex work, balances multiple priorities without dropping balls, minimizes context switching, and helps others understand team capacity.
• Practitioner-level skills in AI Adoption & Engagement: Designs and leads AI engagement programmes across the organization. Creates accessible, inspiring workshop experiences that bring AI concepts to life for technical and non-technical audiences alike. Recognized for the ability to spark curiosity and translate complex AI capabilities into practical, relatable use cases. Develops and maintains a library of compelling demonstrations, case studies, and adoption playbooks that support teams at different stages of their AI journey. Partners with change management and communications stakeholders to ensure AI introductions land effectively and build lasting capability.
• Practitioner-level skills in Technical Team Leadership: Has led cross-disciplinary teams of developers, lead engineers, testers, and designers and knows how to set technical direction and guide architectural decisions without writing the code. Understands how the pieces fit together well enough to keep a team aligned from concept through delivery.
• Practitioner-level skills in Idea to Implementation at Speed: Moves from concept to a working product fast. Sharpens how the team works, tracking cycle time, clearing bottlenecks, making practical trade-offs, so things ship quickly without cutting corners on quality.
• Practitioner-level skills in Building on and Beyond the Platform: Leads teams that use existing enterprise platforms and builds new modules on top of them. Judges when to reuse what's there, when to extend it, and when to build something new.
• Practitioner-level skills in Fluency Across the Technical Stack: Knows enough about modern development practices including cloud, data, CI/CD, and responsible use of AI in the development process, to lead technical conversations credibly, weigh options, and earn the trust of engineers.
• Practitioner-level skills in Responsible AI Judgment: Makes AI adoption decisions with a clear read on the risks and benefits, pushes for human-in-the-loop design, and sets practices that balance the speed AI offers with the rigor trustworthy delivery requires.
• Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.
• Permanent work authorization in the United States.

Responsibilities

• Design and deliver AI engagement programmes, hands-on workshops, and experiential learning sessions that make AI accessible and compelling for diverse audiences.
• Introduce new AI tools and ways of working across teams, spark curiosity and experimentation, and support change management with concrete, relatable examples of AI in practice.
• Find creative ways to introduce new AI technologies, using storytelling, live demonstrations, and co-creation techniques to inspire new thinking.
• Champion AI-powered ideation and surface emerging opportunities from across the organization.
• Lead a team that builds fast, polished, engaging interactive applications and programs. This lead owns both the design and the technology build, so the business can see its ideas come to life and truly grasp the vision behind them.
• Represent AI engagement at leadership forums, communicate adoption progress and impact to senior leaders, and partner with cross-functional stakeholders to align enablement initiatives with strategic priorities.
• Act as the organization’s primary advocate for human-centred AI adoption.
• Lead and develop a team of engagement professionals. Shape talent strategy, build high-performing teams, and create an environment where creativity, experimentation, and human-centred design are celebrated.
• Convert high value ideas from the numerous business engagements into quick style requirements conversion to production ready applications working in tight partnership with the strategic engineering team.
• Guide AI adoption decisions across teams, assess readiness and risks systematically, and design human-in-the-loop learning experiences that build lasting AI capability at scale.
• Shape knowledge-sharing practices across business stakeholders, create frameworks and adoption playbooks that others can use, and maintain external visibility as a recognised thought leader in human-centred AI adoption.
• Partner with engineering, business, and AI organisation stakeholders to align engagement initiatives with enterprise priorities, coordinate cross-team dynamics, and ensure AI tools and ways of working are consistently understood and applied.
• Tightly managed finances are critical to this role to ensure that the team can meet the high demand of workshops and adoption strategies supporting all organizational demands.

Benefits

• 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution
• paid vacation, holiday and personal days
• paid caregiver/parental and medical leave
• health benefits to include medical, prescription drug, dental and vision coverage
• Relocation assistance may be available based on business needs and/or eligibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Director