Director, AI Experience Design Lead

ROLE SUMMARY

At Pfizer our mission is to create breakthroughs that change patients lives. As part of the Customer Experience function in the Chief Technologist Organization we are seeking a Director AI Experience Design Lead to own how Pfizers AI looks sounds and behaves and to build and lead the design team that ships it.

Pfizer is putting AI in front of 80000 colleagues and every surface needs to feel like it came from the same company. This role owns that consistency as a product: the AI-first design system behind human and agent experiences. It defines what colleagues see what agents say how uncertainty gets disclosed and how regulated content behaves. The deliverables are working systems: tokens patterns and standards that live in MCP and flow into the build pipeline so engineers and the Design QA Agent get the correct pattern by default and teams build compliant experiences without waiting on review cycles.

The Director is accountable for the system the way a product owner is accountable for a product: adoption in code pattern reuse override rates and first-pass compliance are the scoreboard. When telemetry shows a pattern failing the Director retires it.

This role is designed for a highly experienced design leader who brings exceptional executive presence narrative storytelling ability and political acumen while remaining deeply hands-on and invested in growing the people on their team: a player-coach who ships production design work alongside the team and leads complex high-stakes design initiatives across Pfizers AI platforms and enterprise LLM integrations.

This is a Director-level role combining people leadership with deep individual contribution. The Director works across every modality the platforms speak (screens conversation voice and agent-to-agent interaction) and moves fluidly between shipping production design work delivering design standards as code and growing the team. Deep technical understanding of how LLMs agents and modern product stacks behave anchors the roles credibility with Engineering and Product.

ROLE RESPONSIBILITIES

AI Design System Ownership: Own extend and evolve Pfizers AI-first design system across human and agent surfaces: the single source of truth for how Pfizers AI looks sounds and behaves.

Design Standards as Code: Deliver design standards as code: tokens patterns and components shipped into the engineering build pipeline so the correct compliant pattern is the default with accessibility (WCAG 2.1 AA) built in.

Adoption Tracking & Standards Drift: Track adoption in code (pattern usage override rate exception requests) and retire patterns the data shows are not working.

Experience Metrics: Connect design outcomes to measurable KPIs: adoption task success trust time-to-resolution and first-pass compliance.

Lead by Example & Innovation: Set the design bar by shipping: work in the new AI tools first put innovative work on the table and show the team how the craft is done now.

Hands-On Design Delivery: Independently own end-to-end design execution for high-impact ambiguous initiatives from problem framing through high-fidelity interactive and executive-ready prototypes.

Agentic & Conversational Design Authority: Act as the design authority for Agentic AI experiences including systems that plan reason invoke tools and execute multi-step workflows with humans in the loop. Own Conversational UX end-to-end (chat and/or voice) including dialog flows conversation state error recovery escalation and safe fallback behaviors.

Assistant Behavior Design: Define assistant behaviors such as tone and voice refusal patterns transparency cues and explainability designing for edge cases and failure modes in regulated contexts.

LLM Product Partnership: Partner closely with AI Data Product and Engineering teams to co-own LLM-enabled products that balance autonomy usability safety and trust.

Craft Excellence: Maintain an exceptional design bar across interaction design visual design systems thinking product thinking and storytelling.

Executive Design Advisory: Serve as a trusted design advisor to Product Engineering and Executive stakeholders across the Chief Technologist Organizations platform teams and translate complex design and AI concepts into decisions leaders can act on.

Product Vision & Roadmap: Support product vision and roadmap prioritization helping Product and Engineering partners evaluate which AI capabilities to build sequence or sunset based on user value and experience impact.

Team Building & Talent Lifecycle: Build lead and grow a high-performing team of experience designers: hiring bar roles and levels growth paths and the full talent lifecycle; mentor direct reports by modeling the craft in their own work.

Budget & Resourcing: Own the teams operating budget and staffing across platforms and initiatives; partner with Finance on annual planning.

ROLE BEHAVIOURS

Dont Lose Your Curiosity: Leads the practices exploration of new design tools and methods; experiments in the open and brings validated techniques into the teams standard ways of working.

Set an Example for Your Team: Models the craft daily; ships production design work that sets the bar for the team and shows rather than tells how AI-first design gets done.

Act with Agency: Makes decisions without waiting for a laid-out plan; gathers just enough context and starts making improvises around missing inputs and corrects course with evidence from the work itself.

Care for the Craft: Holds a strong defensible point of view on visual and interaction style; treats typography motion tone and interaction detail as the product rather than the polish.

Own the Outcome: Takes accountability for experience quality and adoption on every surface the design system touches; treats pattern reuse and first-pass compliance as the teams scoreboard.

Be Polymath Oriented: Works fluently across design engineering and AI; translates between design intent and technical implementation and builds the teams depth beyond a single specialty.

Communicate with Precision: Sets the standard for spec-driven design communication; presents design rationale clearly to audiences from engineers to senior leadership.

Think in Systems: Designs patterns once so they scale across every platform and agent surface; connects design decisions to how the whole experience organization and platform behave together.

BASIC QUALIFICATIONS

• Bachelors Degree required; MBA or advanced degree in a related field preferred.
• 8 years of progressive experience in Experience Design UX or Product Design with a proven track record of delivering complex high-impact digital products and experiences in enterprise or highly matrixed environments.
• 5 years of direct people management experience including hiring developing and leading high-performing design teams.
• Working fluency with front-end development principles APIs and design-token pipelines sufficient to partner with Engineering on delivering design standards as code.
• Experience owning and evolving design systems and AI-first interaction patterns at scale to ensure scalability consistency and quality.
• Deep expertise in AI-driven experience design including hands-on experience designing Agentic AI workflows and Conversational UX (chat and/or voice) such as dialog flows conversation state management repair and fallback patterns escalation models and human-in-the-loop controls.
• Advanced understanding of how AI systems behave communicate and build trust including experience designing transparency cues explainability patterns refusal behaviors safety guardrails and responsible AI interaction models.
• Exceptional design judgment and craft excellence with the ability to independently produce end-to-end design work from problem framing through high-fidelity interactive and executive-ready prototypes.
• Outstanding executive communication and storytelling skills including the ability to clearly articulate justify and defend design decisions to senior leadership and diverse stakeholder groups.
• Expertise in accessibility and inclusive design with hands-on experience ensuring WCAG 2.1 AA compliance across digital products and platforms.
• Strong analytical and problem-solving skills with the ability to synthesize qualitative and quantitative inputs into clear design direction and actionable insights.
• A robust portfolio demonstrating system-level thinking AI-powered experiences and rapid prototyping approaches including design standards or components 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.

Hands-on building with LLM APIs or agent frameworks to prototype real agent behavior in code not only static interfaces.

Advanced prompt engineering skills using prompts as detailed creative briefs that set parameters constraints and brand identity.

Expertise in working within lean or agile environments with fast-paced iterative product cycles.

Track record of building design teams from the ground up including hiring onboarding and career-pathing frameworks.

Experience with AI experience evaluation approaches: conversation quality testing scenario-based risk testing and iterative improvement loops tied to product metrics.

EXPERT-LEVEL SKILLS

Craft Mastery: A recognized authority in interaction visual and conversation design; independently produces work from ambiguous brief to production-ready execution.

Design-Engineering Fluency: Operates where design and engineering converge; ships tokens patterns and standards as code and engages engineers on implementation tradeoffs.

Agentic AI Expertise: Deep working knowledge of how LLMs and agentic systems behave; designs trustworthy transparent and explainable experiences and anticipates failure modes.

Multi-Audience Communication: Communicates design rationale from engineering standups to executive forums and translates complex AI and design concepts into decisions leaders can act on.

Problem Discovery: Turns ambiguous high-stakes briefs into clear design problems; the go-to person for the least defined design challenges on Pfizers AI platforms.

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.

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 $176600.00 to $294300.00. In addition this position is eligible for participation in Pfizers Global Performance Plan with a bonus target of 20.0% 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 lifes 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 (). 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. 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.

To learn more about acceptable and prohibited uses of AI during the recruitment process please review our candidate AI-use guidelines available onPfizer Careers.

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