At Pfizer, our mission is to create breakthroughs that change patients’ lives. We are seeking a Senior Manager, AI Experience Designer to design and deliver innovative, trustworthy, and impactful AI-powered experiences across Pfizer’s technology platforms.
This is a senior individual contributor role with meaningful ownership of the work and its outcomes. Working directly with Product, Engineering, Data, and AI partners, the Senior Manager turns ambiguous business and user needs into clear experience strategies, testable concepts, working prototypes, and production-ready designs.
The role requires deep expertise in Agentic AI and Conversational User Experience, including how AI systems communicate, take action, recover from failure, disclose uncertainty, and support effective human oversight. The successful candidate combines exceptional design craft with strong technical fluency, using Large Language Model APIs and agent frameworks to prototype real behavior rather than static interfaces.
This role remains close to execution, owning complex initiatives from problem framing through validation, detailed design, and implementation partnership. The Senior Manager also contributes reusable approaches and standards that improve experience quality and consistency across Pfizer’s platforms.
ROLE RESPONSIBILITIES
- End-to-End Experience Design: Own the design execution of complex AI-enabled products and workflows, from problem framing and research through prototyping, validation, detailed design, and implementation.
- Agentic and Conversational Design: Design AI experiences across chat, voice, and multimodal interactions, including conversation state, tool use, human oversight, approvals, escalation, error recovery, and safe fallback behaviors.
- Applied AI Prototyping: Use Large Language Model APIs, agent frameworks, and emerging AI tools to prototype realistic system behavior, test assumptions, and identify usability, trust, and safety risks before development.
- Product and Engineering Partnership: Work directly with Product and Engineering partners to shape scope, evaluate trade-offs, resolve implementation challenges, and ensure design intent is reflected in the delivered experience.
- Experience Quality and Craft: Deliver high-quality interaction, visual, and conversation design, applying strong judgment across usability, accessibility, trust, transparency, and regulated-content requirements.
- Rapid Validation and Delivery: Turn ambiguous ideas into testable concepts, proofs of concept, and production-ready designs, using evidence and user feedback to iterate quickly.
- Scalable Experience Practices: Contribute reusable interaction approaches, standards, frameworks, and patterns that improve consistency and experience quality across multiple products and platforms.
- Outcome Measurement: Define appropriate experience measures and use qualitative and quantitative evidence to evaluate adoption, task success, trust, usability, and overall product effectiveness.
ROLE BEHAVIOURS
- Don't Lose Your Curiosity: Experiments constantly with new AI design tools and methods on real work; shares what works and keeps their own practice current as the craft changes.
- Act with Agency: Gets just enough context and starts making; improvises around missing inputs, acts on partial information, and corrects course through the work itself rather than waiting for a plan. Pairs that bias to build with care for the craft: a strong sense of style, sweated interaction detail, and taste grounded in systems design.
- Raise the Craft Bar: Produces high-quality work that demonstrates strong judgment, modern design practice, and effective application of AI-enabled methods.
- Own the Outcome: Takes accountability for the quality, usability, adoption, and impact of the experiences they design, remaining engaged through implementation and post-release learning.
- Be Polymath Oriented: Combines interaction and conversation design with working technical knowledge of LLMs and agents; moves comfortably between design, product, and engineering contexts.
- Communicate with Precision: Writes specs and documentation engineers can build from directly; presents design rationale clearly to product and engineering partners.
- Think in Systems: Considers how individual interactions connect across workflows, products, platforms, data, and human and AI participants, creating approaches that scale beyond a single use case.
Here Is What You Need (Minimum Requirements)
- Applicant must have a bachelor's degree with at least 6 years of progressive UX design experience, with a proven track record in delivering high-impact digital products and experiences. OR a master's degree with at least 5 years of experience; OR a PhD with 1+ years of experience
- Strong understanding of modern product development, front-end principles, APIs, and technical constraints, with the ability to collaborate effectively with Engineering throughout implementation.
- Hands-on experience building with LLM APIs or agent frameworks to prototype real agent behavior in code, not only static interfaces.
- Experience creating and delivering reusable interaction patterns, components, or design frameworks that scale across multiple products and engineering teams.
- Demonstrated experience designing Conversational UX (chat and/or voice), including dialog flows, conversation state, repair/fallback patterns, escalation, and tone/voice guidelines.
- Demonstrated experience designing Agentic AI workflows (systems that can take actions via tools/functions), including human-in-the-loop controls, approvals, transparency, and safe failure modes.
- Extensive experience working with AI-driven design tools and platforms, with a deep understanding of how to leverage them for rapid prototyping and iterative design.
- "AI-first" mindset with a proven willingness to challenge traditional design paradigms and adopt augmented workflows to radically accelerate delivery cycles.
- Expertise in accessibility and inclusive design, with hands-on experience ensuring WCAG 2.1 AA compliance across a wide variety of digital platforms.
- Proven ability to deliver complex design projects under tight deadlines with a focus on speed, efficiency, and quality.
- Strong communication skills, including the ability to present and justify design decisions to product, engineering, and business partners, and to senior leadership in partnership with design leadership on executive presentations.
- A robust portfolio demonstrating end-to-end product design, system-level thinking, AI-powered experiences, rapid prototyping, and successful delivery of complex experiences at scale.
- 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.
Bonus Points If You Have (Preferred Requirements)
- Strong product design experience beyond UI design, including partnering with Product and Engineering to shape scope, prioritize trade-offs, and define measurable outcomes.
- Expertise in working within lean or agile environments with fast-paced, iterative product cycles.
- Previous experience designing within the healthcare or pharmaceutical sectors is a plus.
- Experience defining responsible AI UX patterns: transparency/disclosures, explainability cues, privacy boundaries, and trust/safety guardrails.
- Experience with AI experience evaluation approaches: conversation quality testing, scenario-based risk testing, and iterative improvement loops tied to product metrics.
- Strong knowledge of service design, journey mapping, or customer experience frameworks.
ADVANCED-LEVEL SKILLS
- Craft Depth: Produces high-quality interaction and conversation design end-to-end, from ambiguous input to shippable patterns, under tight timelines.
- Design-Engineering Collaboration: Partners closely with engineers throughout delivery, understands front-end and API constraints, and provides specifications and interaction details that support accurate implementation.
- Applied AI Fluency: Working knowledge of how LLMs and agentic systems behave, applied directly in prototypes and pattern design.
- Clear Communication: Presents and defends design decisions with product and engineering partners; produces documentation strong enough to scale beyond their own surfaces.
- Problem Framing: Turns loosely defined requests into concrete design problems and validated prototypes.
PHYSICAL/MENTAL REQUIREMENTS
- Strong digital literacy and an "AI-first" mental model, with the ability to critically evaluate and integrate generative tools into the creative process to solve complex design challenges at scale
- Ability to manage multiple complex programs and projects simultaneously
- Strong analytical and problem-solving skills
NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS
- Occasional travel may be required for workshops, team meetings, or stakeholder engagement
- Flexibility to work across global time zones as needed
Work Location Assignment: Hybrid
The annual base salary for this position ranges from $124,400.00 to $207,400.00.* In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 17.5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 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, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States.
* The annual base salary for this position in Tampa, FL ranges from $111,900.00 to $186,500.00.

This role is posted in multiple locations. If you are applying for the role in an secondary job posting location where pay transparency regulations apply, your Talent Advisor will share the local pay information with you during the first interview.


Relocation assistance may be available based on business needs and/or eligibility.
Candidates must be authorized to be employed in the U.S. by any employer.
U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future.
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