# Director, Applied AI (Horizon Scanning) at Pfizer

AI Level 3, AI centrality 65 out of 100. United States - New York - New York City.

## Details

- Company: [Pfizer](https://jobsbylevel.com/companies/pfizer)
- AI level: AI Level 3 (score 65 out of 100)
- Location: United States - New York - New York City
- Salary: $163k-$272k
- Posted: October 6, 2026
- Apply: https://jobsbylevel.com/go/5a6ea415-aade-4a9f-9855-8716a15d8345

## Description

ROLE SUMMARY The Director, Applied AI (Horizon Scanning) is responsible for identifying, evaluating, and translating emerging AI technologies, capabilities, vendors, and industry trends into actionable opportunities for Pfizer’s U.S. Commercial organization. The role serves as the connection point between external AI innovation and U.S. Commercial strategy, ensuring that evolving technologies are assessed through the lens of commercial priorities, customer engagement, marketing, market access, patient solutions, commercial operations, and future business transformation. Reporting to the Senior Director, Strategy, this leader is responsible for horizon scanning, external technology intelligence, capability assessment, technology scouting, rapid evaluation, and future-state capability planning. The role helps ensure U.S. Commercial remains at the forefront of AI innovation while maintaining focus on business value, technical feasibility, enterprise readiness, and responsible adoption. The Director partners across AI Partnerships & Ecosystem, Product Management, AI Applications, Data Strategy, Transformation & Delivery, Governance, and Digital to convert external signals into a prioritized pipeline of opportunities, experiments, and roadmap recommendations. When an opportunity requires external engagement, the Director provides the technical and strategic assessment and transitions the opportunity to the AI Partnerships & Ecosystem Lead for partner engagement, coordination, and ongoing relationship management. WHY THIS ROLE MATTERS AI is evolving faster than traditional business and technology planning cycles. New foundation models, agent frameworks, industry-specific solutions, and commercial use cases emerge continuously. To maintain leadership in AI-enabled customer engagement and commercial operations, U.S. Commercial requires a dedicated capability focused on separating meaningful innovation from short-term hype, identifying strategic opportunities early, and determining where to invest, experiment, partner, incubate, or scale. This role ensures U.S. Commercial is not simply reacting to AI change but proactively shaping its future AI roadmap and external innovation agenda. ROLE RESPONSIBILITIES 1. U.S. Commercial AI Horizon Scanning • Continuously monitor emerging AI technologies, vendors, startups, research, industry developments, and competitive activity relevant to U.S. Commercial. • Track advances across generative AI, agentic systems, multimodal AI, intelligent automation, knowledge systems, customer engagement technology, commercial analytics, and AI infrastructure. • Maintain a structured horizon-scanning framework that categorizes developments by strategic relevance, maturity, feasibility, and potential business impact. • Produce concise executive updates on significant developments and their implications for U.S. Commercial. • Identify signals that should influence future Commercial Engine, product, architecture, and transformation roadmaps. 2. AI Innovation Assessment • Evaluate emerging AI technologies and capabilities against U.S. Commercial priorities. • Assess technical feasibility, scalability, differentiation, data requirements, integration considerations, and enterprise readiness. • Distinguish meaningful commercial opportunities from short-term market hype. • Create repeatable evaluation frameworks for AI products, vendors, models, platforms, and partnerships. • Recommend whether opportunities should be monitored, tested, partnered, incubated, scaled, or retired. 3. U.S. Commercial Opportunity Identification • Identify emerging AI capabilities that can create value across customer engagement, marketing, market access, patient solutions, insights and analytics, commercial operations, field enablement, and the Commercial Engine. • Translate external AI developments into potential U.S. Commercial use cases and future-state capabilities. • Develop concept papers, opportunity briefs, and strategic

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