Director, Applied AI (Horizon Scanning)

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 recommendations for senior leaders.

• Partner with Product Management and Transformation teams to shape future investment and experimentation priorities.

• Connect emerging technologies to U.S. Commercial strategy and transformation roadmaps.

4. External Innovation and Ecosystem Assessment

• Maintain intelligence on the external AI ecosystem, including startups, technology companies, academic institutions, research organizations, and industry innovators.

• Identify emerging capabilities that may warrant further evaluation or partnership.

• Lead the technical and strategic assessment of external capabilities for U.S. Commercial, including strategic fit, differentiation, feasibility, enterprise readiness, and potential value.

• Partner with the AI Partnerships & Ecosystem Lead to determine the appropriate engagement and partnership pathway.

• Provide clear recommendations on whether opportunities should be monitored, tested, partnered, incubated, scaled, or retired.

• Transition approved partnership opportunities to the AI Partnerships & Ecosystem Lead for engagement, coordination, contracting support, and ongoing relationship management.

• Monitor competitor AI developments and industry adoption trends.

• Maintain a prioritized pipeline of external technology opportunities aligned to U.S. Commercial strategy.

5. Rapid Experimentation and Proof of Value

• Design and oversee focused proofs of concept for promising technologies and external capabilities.

• Define learning objectives, evaluation criteria, success measures, and time-bound decision points.

• Partner with AI Applications, Product, Data, and business teams to evaluate technical and commercial viability.

• Document findings, implications, and clear recommendations.

• Support recommendations to scale, partner, incubate, monitor, or retire opportunities, with partner engagement led by the AI Partnerships & Ecosystem Lead.

6. Innovation Portfolio Management

• Maintain a transparent pipeline of emerging AI opportunities across near-term, emerging, and transformative horizons.

• Prioritize opportunities based on strategic value, commercial relevance, technical feasibility, scalability, differentiation, and risk.

• Apply a consistent intake and disposition model across external opportunities.

• Track progress from initial signal through evaluation, experimentation, partnership recommendation, roadmap integration, or closure.

• Provide portfolio insights that support U.S. Commercial investment decisions.

7. AI Trend Analysis and Thought Leadership

• Synthesize research, market intelligence, industry developments, conference insights, and analyst perspectives into clear U.S. Commercial implications.

• Develop executive-ready materials that explain why developments matter, not only what has changed.

• Publish periodic AI outlooks and horizon-scanning updates.

• Serve as a credible internal thought leader on emerging AI capabilities and their commercial relevance.

• Help leaders distinguish durable opportunities from transient trends.

8. Responsible AI and Enterprise Readiness

• Assess emerging technologies through security, privacy, legal, regulatory, compliance, quality, and Responsible AI lenses.

• Identify implementation constraints and risks early in the evaluation process.

• Partner with Governance, Risk, Architecture, Digital, and other relevant teams to evaluate enterprise readiness.

• Ensure recommendations account for Pfizer standards, technical dependencies, and responsible adoption requirements.

• Build risk and governance considerations into experimentation and partnership recommendations from the outset.

9. Cross-Functional Partnership and Influence

• Partner with the Vice President, Applied AI & Architecture to translate external signals into future-state technical strategy and architecture.

• Partner with the AI Partnerships & Ecosystem Lead to connect broader external ecosystem activity with U.S. Commercial priorities and create clear handoffs for approved partner engagement.

• Partner with AI Applications and Product teams to create effective handoffs from exploration into product and engineering evaluation.

• Partner with Transformation & Delivery to connect validated opportunities with implementation and adoption pathways.

• Communicate complex technical and market developments clearly to business and executive audiences.

SUCCESS MEASURES

• Quality and relevance of horizon-scanning insights and strategic recommendations.

• External technology opportunities converted into pilots, partnership recommendations, product concepts, or roadmap priorities.

• Speed and rigor of opportunity evaluation and disposition.

• Adoption of recommendations in U.S. Commercial planning and investment decisions.

• Influence on future Commercial Engine and applied AI priorities.

• Quality of external capability assessments and partnership recommendations advanced to the AI Partnerships & Ecosystem Lead.

• Clarity and transparency of the innovation opportunity pipeline.

BASIC QUALIFICATIONS

• Bachelor’s degree in computer science, engineering, artificial intelligence, data science, business, or a related discipline, or equivalent professional experience.

• 8+ years of progressive experience in AI, technology strategy, innovation, product strategy, architecture, consulting, emerging technology, or related roles.

• Strong understanding of generative AI, agentic systems, machine learning, foundation models, and enterprise AI architectures.

•Experience evaluating emerging technologies and translating technical concepts into business opportunities and strategic recommendations.

• Demonstrated ability to monitor complex external landscapes, synthesize weak signals, and distinguish durable trends from hype.

• Experience developing executive-ready insights, business cases, opportunity briefs, or technology recommendations.

• Ability to communicate complex technical concepts clearly to senior business and technical leaders.

• Demonstrated success operating in ambiguous, fast-moving, and highly matrixed environments.

• Strong analytical, strategic-thinking, collaboration, and influencing skills.

PREFERRED QUALIFICATIONS

• Advanced degree in artificial intelligence, computer science, engineering, business, data science, or a related discipline.

• Experience in pharmaceuticals, healthcare, life sciences, or another highly regulated industry.

• Experience in innovation strategy, technology scouting, venture ecosystems, startup assessment, strategic partnership evaluation, or corporate development.

• Experience building AI roadmaps and evaluating AI investments or partnerships.

• Knowledge of U.S. Commercial pharmaceutical functions, customer engagement, marketing, market access, patient solutions, field enablement, or commercial operations.

• Strong knowledge of the AI, technology, research, academic, startup, and innovation ecosystems.

• Experience designing and evaluating rapid experiments or proofs of value.

RESOURCES MANAGED

Financial Accountability

Accountable for approved horizon-scanning, technology evaluation, and experimentation resources. External partnership budgets and ongoing partner management remain with the appropriate partnership owner. Specific budget responsibilities will be confirmed with Finance.

Supervision

May lead a small team of applied AI, innovation, or technology-scouting professionals and direct cross-functional evaluation teams, external experts, contractors, or project-based resources.

TRAVEL AND WORK REQUIREMENTS

• Travel anticipated based on business, conference, technology-evaluation, and team needs.

• Ability to work across global teams and time zones.

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.

Other Job Details:

• Last Date to Apply for Job: October 13, 2026.
• Ability to travel based on business needs
• This position is hybrid and requires working onsite 2 to 3 days per week

The annual base salary for this position ranges from $162,900.00 to $271,500.00. In addition, this position is eligible for participation in Pfizer’s 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 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.
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 on Pfizer Careers.

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