Director, AI Experience Design Lead

<p><b>ROLE SUMMARY</b></p><p>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 Pfizer’s AI looks, sounds, and behaves, and to build and lead the design team that ships it.</p><p></p><p>Pfizer is putting AI in front of 80,000 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.</p><p></p><p>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.</p><p></p><p>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 Pfizer’s AI platforms and enterprise LLM integrations.</p><p>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 role’s credibility with Engineering and Product.</p><p></p><p><b>ROLE RESPONSIBILITIES</b></p><p></p><p>AI Design System Ownership: Own, extend, and evolve Pfizer’s AI-first design system across human and agent surfaces: the single source of truth for how Pfizer’s AI looks, sounds, and behaves.</p><p></p><p>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.</p><p></p><p>Adoption Tracking &amp; Standards Drift: Track adoption in code (pattern usage, override rate, exception requests) and retire patterns the data shows are not working.</p><p></p><p>Experience Metrics: Connect design outcomes to measurable KPIs: adoption, task success, trust, time-to-resolution, and first-pass compliance.</p><p></p><p>Lead by Example &amp; 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.</p><p></p><p>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.</p><p></p><p>Agentic &amp; 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.</p><p></p><p>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.</p><p></p><p>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.</p><p></p><p>Craft Excellence: Maintain an exceptional design bar across interaction design, visual design, systems thinking, product thinking, and storytelling.</p><p></p><p>Executive Design Advisory: Serve as a trusted design advisor to Product, Engineering, and Executive stakeholders across the Chief Technologist Organization’s platform teams and translate complex design and AI concepts into decisions leaders can act on.</p><p></p><p>Product Vision &amp; 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.</p><p></p><p>Team Building &amp; Talent Lifecycle: Build, lead, and grow a high-performing team of experience designers: hiring bar, roles and levels, growth paths, and