Senior Manager, AI Experience Designer

About the role

Pfizer is transforming into an AI-native, agentic-supported organization, equipping all 80,000 colleagues with enterprise AI platforms. As a Senior Manager, AI Experience Designer, you will shape how these platforms look, sound, and behave—driving design decisions that influence how the company operates and how medicines reach patients. This role is hands-on, working daily with engineers and product owners to deliver working proofs in days, not weeks. You will own pattern areas of Pfizer’s AI-first design system, shipped as code into the build pipeline to ensure compliance and adoption by default. Success is measured by pattern reuse, first-pass compliance, and colleague adoption.

Responsibilities

• Design System Pattern Ownership: Own specific pattern areas of Pfizer’s AI-first design system (assistant UI components, conversation templates, transparency and disclosure components, escalation patterns, trust and verification cues) as products with adoption targets.
• Design Standards as Code: Ship design tokens, components, and patterns into the engineering build pipeline and MCP so the correct, compliant pattern is the default for every team.
• Design QA Reference Library: Maintain the reference library behind automated design quality checks, including voice patterns, disclosure components, and trust cues enforced by the Design QA Agent.
• Pattern Adoption & Standards Drift: Monitor pattern usage, override rate, and exception requests for owned surfaces; retire or redesign patterns the data shows are not working.
• Agent Prototyping in Code: Build with LLM APIs and agent frameworks to prototype real agent behavior rather than static screens, and validate workflows and risks before build.
• Agentic & Conversational Design: Lead the design of Agentic AI experiences where systems can plan, make decisions, call tools/functions, and complete multi-step workflows with humans in the loop.
• Own Conversational UX end-to-end: Design dialog flows, conversation state, error recovery, escalation to human support, and safe fallback behaviors for chat and/or voice interfaces.
• Assistant Behavior Design: Design and document assistant behaviors, including tone and voice, grounded responses, refusal patterns, transparency cues, and trust-building interaction patterns.
• Hands-On Design Partnership: Be a vocal, engaged, and proactive partner within a cross-functional team, shaping scope and priorities with engineers and product owners daily.
• Rapid Delivery: Deliver end-to-end design for high-impact projects under tight deadlines, producing MVPs and proofs of concept that validate business ideas within days.
• Accessibility & Inclusive Design: Ensure accessibility compliance (WCAG 2.1 AA) across all designs, championing inclusive design practices for diverse user needs.
• Playbooks & Pattern Libraries: Create reusable playbooks and pattern libraries for agentic workflows and conversational design (e.g., escalation, repair, safety responses, approvals, and multi-step task orchestration).
• Enablement & Peer Mentorship: Proactively train and mentor designers and cross-functional partners on rapid prototyping, AI tools, and internal design systems.
• Product-Minded Design Strategy: Frame problems, define hypotheses, influence roadmaps with Product partners, and connect design decisions to measurable outcomes.

Role Behaviors

• Don’t Lose Your Curiosity: Experiment constantly with new AI design tools and methods on real work; share what works and keep your practice current.
• Act with Agency: Start making with just enough context, improvise around missing inputs, and correct course through the work itself.
• Pairs Bias to Build with Craft: Combine a strong sense of style, interaction detail, and systems design taste.
• Set an Example for Your Team: Model craft and pace for peers; the quality and speed of your shipped work sets the standard.
• Own the Outcome: Take accountability for the adoption and quality of the surfaces and patterns you own; follow your work past release to confirm it performs.
• Be Polymath Oriented: Combine interaction and conversation design with technical knowledge of LLMs and agents; move comfortably between design, product, and engineering contexts.
• Communicate with Precision: Write specs and documentation engineers can build from directly; present design rationale clearly to partners.
• Think in Systems: Design patterns for reuse, considering how components behave across products and agent surfaces.

Requirements

• Bachelor’s degree with at least 6+ years of experience; OR a Master’s degree with 5+ years of experience.
• 6-10 years of progressive UX design experience, with a proven track record in delivering high-impact digital products and experiences.
• Working fluency with front-end development principles, design tokens, and APIs, sufficient to ship design system components into engineering pipelines.
• Hands-on experience building with LLM APIs or agent frameworks to prototype real agent behavior in code, not only static interfaces.
• Experience shipping design system components and patterns into production engineering pipelines (design tokens, documented components, versioned patterns).
• Experience designing Conversational UX (chat and/or voice), including dialog flows, conversation state, repair/fallback patterns, escalation, and tone/voice guidelines.
• 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 with AI-driven design tools and platforms, and a deep understanding of how to leverage them for rapid prototyping and iterative design.
• “AI-first” mindset with a willingness to challenge traditional design paradigms and adopt augmented workflows to accelerate delivery cycles.
• Expertise in accessibility and inclusive design, with hands-on experience ensuring WCAG 2.1 AA compliance across 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.
• A robust portfolio demonstrating system-level design thinking, AI-powered experiences, and rapid prototyping techniques, including design system components or patterns shipped as production code.

Preferred Qualifications

• Strong product design experience (not only UI): partnering with Product/Engineering to shape scope, prioritize tradeoffs, and define measurable outcomes.
• Expertise in lean or agile environments with fast-paced, iterative product cycles.
• Previous experience designing within the healthcare or pharmaceutical sectors.
• 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.

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: Ships design tokens and components into engineering pipelines; understands front-end and API constraints.
• 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.
• Ability to influence and collaborate with peers, develop and coach others, and guide colleagues to achieve meaningful outcomes and business impact.

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.
• Ability to manage multiple complex programs and projects simultaneously.
• Strong analytical and problem-solving skills.

Schedule

• 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

Pay

The annual base salary for this position ranges from $124,400.00 to $207,400.00. In Tampa, FL, the range is $111,900.00 to $186,500.00. 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 the share-based long-term incentive program.

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 including medical, prescription drug, dental, and vision coverage.

Learn more at Pfizer Candidate Site – U.S. Benefits.