Job Description

The Global Commercial Strategy Transformation Lead is responsible for designing, governing, and continuously evolving the AI operating system that underpins how Global Commercial Strategy (GCS) works. Reporting to the Head of GCS, this leader owns the transformation architecture — the roadmap, standards, and operating model that ensure GCS compounds its AI investment into organizational intelligence and produces a well-governed, constantly evolving, integrated AI-enabled operating system across Global Commercial, Early Commercial, and Global Access Strategy & Pricing

Working in close partnership with the CMO AI Acceleration vertical that owns the tools, tiers, and technical governance, this GCS Transformation Lead will lead the systems-thinking architecture across the three core parts of GCS — determining how current and future GCS AI use cases and platforms progress seamlessly into a single integrated intelligence system that elevates judgment, not just activity, and that translates commercial strategy into AI-native ways of working at enterprise scale.

The role operates across three divisions with materially different operating models, evidence standards, and commercial realities, in a highly matrixed organization undergoing significant internal and external change. It must deliver near-term efficiency gains without loss of productivity or quality, sustain revenue growth, and govern the AI architecture during a period of significant inline and pipeline shifts. The leader must also continuously evaluate the external environment — new technology, competitor strategies, and changing customer, payer, and patient behaviors — and translate those signals into prioritized architectural improvements.

Success in this role requires a senior commercial leader who combines deep commercial domain mastery with hands-on AI architecture capability, not as adjacent skills but as an integrated operating model. This leader must be equally at home setting standards with GCS TA VPs and building canonical reference systems from scratch and must hold quality and outcomes over time across the full commercial cycle — pipeline, in-line, launch, and LoE.

Success will be measured not only by adoption and capability rates, but by outcomes: efficiency targets delivered first time and in full, commercial capability maintained through headcount changes, and a compounding return on AI investment that makes GCS faster, smarter, and more competitive over time.

Role Responsibilities

1. AI Strategy, Architecture & Systems Innovation

• Design, own, and evolve the GCS AI Blueprint and operating system in close coordination with the AI Acceleration organization: the governing architecture that determines how all AI use cases and current and future AI platforms progress into a seamless integrated intelligence system across Global Commercial, Early Commercial, and Global Access Strategy & Pricing.
• Apply innovative systems thinking at enterprise, divisional, and workflow level simultaneously, making deliberate design decisions on sequencing, standards, and canonical architecture so the organization learns and compounds at the level of judgment, not just activity.
• Continuously scan the external AI landscape — tools, competitor strategy, and customer, payer, and patient behavior — and translate findings into prioritized architectural improvements that protect and advance GCS' competitive AI advantage as a moving target.

2. Transformation Delivery & Program Governance

• Lead the GCS AI transformation roadmap end to end, in close partnership with AI Acceleration leaders: milestone tracking, KPI development and measurement, risk and dependency management, and clear, honest progress reporting to the Head of GCS, divisional VPs, and Product Owners.
• Deliver required organizational WoW changes without loss of productivity, quality, or adverse revenue impact, and govern the AI architecture supporting portfolio transitions (pipeline to inline, LOE, etc).
• Guide and direct external consulting teams and any future external resource: day-to-day management, quality standards, delivery accountability, and budget.

3. Standards, Policy & Responsible AI

• Set, implement, and hold AI standards and policy across all three divisions: tool design, workflow architecture, quality assessment, decision governance, and deployment sequencing.
• Ensure responsible AI boundaries — including data privacy, human-in-the-loop design, and differentiated risk standards by use case — are designed in by default, applying rigor where stakes demand it and moving fast where it is safe to do so.
• Classify, sequence, and govern AI skill deployment across GCS colleagues: wave design, adoption architecture, quality gates, and rollout governance.

4. Capability Development & Change Management

• Design and deliver the GCS AI builder community capability framework and change management architecture: scaling hands-on workflow skills across GCS colleagues, embedding critical thinking by design, and moving people from passive tool use to active ownership of AI-enabled ways of working.
• Partner with The Academy, the CMO AI vertical, and all relevant CMO verticals where workflows intersect — ensuring builder community capability, general AI fluency, platform development, and cross-functional workflow design are coherent and mutually reinforcing, and that external resource is governed to outcome rather than activity.

5. Stakeholder Alignment, External Profile & Function Building

• Operate as the GCS voice in CMO-level AI Acceleration transformation conversations, aligning with key stakeholders across the CMO verticals to ensure the GCS roadmap integrates with the broader enterprise AI strategy, and that GCS helps to shape the CMO transformation agenda.
• Build and maintain peer-level relationships with VP functional leads across all three divisions, operating with the authority to set standards, the credibility to hold leaders to them, and the standing to influence platform decisions on behalf of GCS users.
• Establish GCS as a recognized center of AI transformation excellence: building internal and external visibility, contributing to the broader industry conversation on responsible commercial AI, and positioning the function to attract the best talent.
• Build the GCS AI transformation matrix team, budget accountability, and operating infrastructure required to make the architecture self-sustaining and scalable at enterprise scale.

Qualifications & Experience

Education

• Bachelor's degree in Life Sciences, Business, Marketing, or related field required
• MBA or other advanced degree (PhD, MD, PharmD) strongly preferred

Professional Experience

• Minimum 12+ years of marketing experience at Global, Regional, Local (GRL) level across in-line, launch, and LoE environments, US and ex-US, with deep subject-matter expertise across Brand Strategy, Customer Journey Design, Message Architecture, Creative Development, Omnichannel Journey Design, Tactical Execution, Measurement, Testing, and Optimization
• Transformation experience, leading matrixed organizations undergoing significant change
• Pharmaceutical or life sciences background required

AI & Transformation Expertise

• Partner with AI Acceleration on the construction of AI agent systems, canonical reference architectures, and governed deployment frameworks in GCS settings — architecture and construction, not tool adoption, prompt use, or program oversight — with a track record of innovating new tools, workflows, and ways of working that have measurably changed how teams operate
• Connected workflow prototype building that bridges isolated tools into integrated systems, with evidence of progression from individual capability to connected architecture against real brand strategies and live user populations
• Large-scale transformation leadership in a complex multifunctional organization, including the design and delivery of new capability frameworks, operating models, and ways of working from concept through to embedded practice
• Capability and change management at scale across geographically diverse regions and local markets, with evidence of sustained behavior change rather than one-off training events
• In-depth knowledge of Pfizer's Marketing Model and standards of excellence, with a track record of delivering SME support across brand teams and innovating new solutions to commercial challenges

Leadership & Organizational Capabilities

• Demonstrated ability to lead cross-functional teams and influence without direct authority while managing complex stakeholder environments
• Track record of building and developing high-performing teams, with demonstrated experience building new teams and scaling talent pipelines for brand-new functions strongly preferred

Strategic & Business Acumen

• Systems thinking — ability to operate simultaneously at enterprise, divisional, and workflow level in a highly matrixed, rapidly changing organization, identifying where capability compounds and where it fragments
• Standards setting and policy — ability to develop, implement, and hold AI standards across multiple senior stakeholder groups, combining technical credibility with organizational influence
• Programme governance and KPI design — rigorous approach to milestone tracking, outcome measurement, risk management, and progress reporting, distinguishing meaningful impact signals from activity metrics
• Commercial domain mastery — deep fluency across brand strategy, omnichannel execution, customer journey design, segmentation, and tactical planning, with the ability to design AI architecture that serves and elevates commercial work
• Responsible AI judgment — applies differentiated risk standards by use case, moving fast where it is safe to do so and applying rigor where the stakes demand it
• External horizon scanning — monitors AI tool development, competitor strategy, and customer, payer, and patient behavior to identify the next wave of architectural innovations before the current wave is complete
• Exposure to GASP or Early Commercial operating environments — health economics, market access, healthcare systems, or clinical development — strongly preferred

Physical/Mental Requirements

• Comfort working in a fast-paced environment and making complex decisions quickly
• Ability to leverage AI models, synthesize and analyze complex data, and understand trends and mathematical calculations
• Ability to travel domestically and internationally as needed for congresses, sales meetings, and customer interactions

Non-standard Work Schedule Travel or Environment Requirements

• Pending Pfizer policies, travel is required: Domestic or International travel of up to 25%

Last Day to Apply: May 25, 2026

Location: Selected colleague must align to local LIFYD policies.

The annual base salary for this position ranges from $214,900.00 to $358,100.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 22.5% 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.

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.

Sunshine Act

Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.

EEO & Employment Eligibility

Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States.

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