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About This Role
ROLE SUMMARY
The Brand Strategy and Campaigns team at Pfizer is responsible for driving enterprise brand strategy and launching compelling corporate campaigns and brand acts. The Senior Director, Go-to-Market and Brand Campaigns is a senior leader who plays a critical role in shaping and executing Pfizer’s most strategic brand and commercial initiatives. This position operates at the intersection of enterprise brand strategy, commercial go-to-market planning, and global campaign execution. It is focused on driving visibility, engagement, and business impact across diverse audiences and therapeutic areas.
This role is the cornerstone of our enterprise marketing engine. It is responsible for driving the vision, strategy, and execution of campaigns that shape public perception, deepen stakeholder trust, and accelerate business growth across global markets. This visionary leader will work closely with U.S. Business Presidents and their leadership teams to deliver measurable business impact for the Pfizer Brand and Oncology therapeutic areas. They will lead the launch of programs, platforms, and campaigns that engage millions of people. As an executive steward of the Pfizer brand, they will translate complex healthcare narratives into compelling and actionable brand experiences.
Reporting to the Vice President, Head of Brand Campaigns in the Chief Marketing Office, the Senior Director will manage a high-performing team of marketers and collaborate with cross-functional teams, agency partners, and senior stakeholders. The role demands creativity, strategic precision, and a strong sense of purpose to ensure every campaign delivers measurable impact and cultural relevance.
ROLE RESPONSIBILITIES
- Enterprise Brand Strategy
Lead the development of GTM strategies for Pfizer Brand and Oncology platforms and priority launches, ensuring alignment with commercial goals, market dynamics, and stakeholder needs across Consumer, HCP, Investor and Advocacy audiences.
- Campaign Leadership
Drive the creation and rollout of integrated brand campaigns across paid, owned, and earned media channels. Ensure campaigns are innovative, compliant, and performance-driven, with a focus on creative excellence and strategic impact. Manage large-scale media budgets.
- Executive Collaboration and Strategic Alignment
Partner directly with U.S. Business Presidents, Therapeutic Area leads, and the Chief Marketing Office to align brand strategy with business priorities and performance goals. Serve as a strategic advisor and thought partner to senior leadership.
- Team Leadership and Talent Development
Build and mentor a high-performing team of brand strategists, campaign managers, and creative leads. Foster a culture of innovation, accountability, and excellence. Lead cross-functional working groups and steering committees to align priorities, timelines, and KPIs.
- Agency and Vendor Management
Manage relationships with top-tier creative, media, and production agencies. Ensure strategic alignment, budget discipline, and world-class execution.
- Performance Measurement and Optimization
Define and track KPIs across campaign touchpoints. Leverage data-driven insights to refine strategies, optimize spend, and maximize ROI.
- Innovation and Thought Leadership
Stay ahead of industry trends, emerging technologies, and cultural shifts. Champion new approaches to storytelling, personalization, and digital engagement.
- Governance, Compliance, and Risk Management
Ensure all campaigns meet regulatory, legal, and brand standards. Serve as a trusted advisor on risk mitigation and reputational stewardship.
BASIC QUALIFICATIONS
- Bachelor’s degree with 12+ years or MBA/MS with 10+ years of experience in brand, consumer, or product marketing; or at an award-winning agency leading integrated campaigns for global brands.
- Experience across industries preferred; life sciences or pharmaceutical marketing experience is a plus.
- Proven ability to extract insights from audience needs and translate them into impactful strategies and results.
- Demonstrated success in launching breakthrough advertising and brand activations at a multinational company. Global experience across markets and cultures preferred.
- Expertise in executing brand campaigns across digital ecosystems, media partnerships, and earned strategies that grow brand value.
- Strong executive presence and excellent verbal and written communication skills, with ability to effectively influence senior leaders and colleagues at all levels of the organization.
- Exceptional collaboration skills – can skillfully coordinate and problem solve across cross-functional teams and foster highly productive cross-functional relationships.
- Thrives in a high energy environment and works effectively in unchartered territory. Ability to drive team to results, take accountability and meet deadlines.
- Strong business acumen and strategic thinking – ability to establish leading and lagging indicators for the brand and adjust strategies based on performance.
- Uphold Pfizer’s Core Values of Excellence, Equity, Courage, and Joy, while contributing to a positive and collaborative team culture.
- Deep understanding of the healthcare ecosystem and Consumer / HCP journeys across Therapeutic Areas.
- 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.
Additional Job Information:
Last Date to Apply: February 6, 2026
Work Location Assignment: Hybrid
#LI-PFE
The annual base salary for this position ranges from $214,900.00 to $341,100.00.\* 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.
- The annual base salary for this position in Tampa, FL ranges from $184,200.00 to $307,000.00.
Relocation assistance may be available based on business needs and/or eligibility.
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.
Pfizer endeavors to make
www.pfizer.com/careers
accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email
disabilityrecruitment@pfizer.com
. This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned.
Marketing and Market Research
Salary Context
This $214K-$341K range is above the 75th percentile for AI/ML Engineer roles in our dataset (median: $170K across 217 roles with salary data).
View full AI/ML Engineer salary data →Role Details
About This Role
AI/ML Engineers build and deploy machine learning models in production. They work across the full ML lifecycle: data pipelines, model training, evaluation, and serving infrastructure. The role has evolved significantly over the past two years. Where ML Engineers once spent most of their time on model architecture, the job now tilts heavily toward inference optimization, cost management, and integrating LLM capabilities into existing systems. Companies want engineers who can ship production systems, and the experimenter-only role is fading fast.
Day-to-day, you're writing training pipelines, debugging data quality issues, setting up evaluation frameworks, and figuring out why your model performs differently in staging than it did on your dev set. The best ML engineers are obsessive about reproducibility and measurement. They instrument everything. They know that a model is only as good as the data feeding it and the infrastructure serving it.
Across the 37,339 AI roles we're tracking, AI/ML Engineer positions make up 91% of the market. At Pfizer, this role fits into their broader AI and engineering organization.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
What the Work Looks Like
A typical week might include: debugging a data pipeline that's silently dropping 3% of training examples, running A/B tests on a new model version, writing documentation for a feature flag system that lets you roll back model deployments, and reviewing a junior engineer's PR for a new evaluation metric. Meetings tend to be cross-functional since ML touches product, engineering, and data teams.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
Skills Required
Python and PyTorch dominate the requirements. Most roles expect experience with cloud platforms (AWS, GCP, or Azure) and familiarity with ML frameworks like TensorFlow or JAX. RAG (Retrieval-Augmented Generation) has become a top-3 skill requirement as companies integrate LLMs into their products. Docker and Kubernetes show up in about a third of postings, reflecting the production focus of the role.
Beyond the core stack, employers increasingly want experience with experiment tracking tools (MLflow, Weights & Biases), feature stores, and vector databases. Fine-tuning experience is valuable but less common than you'd think from reading Twitter. Most production LLM work is RAG and prompt engineering, not fine-tuning. If you have both, you're in a strong position.
Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
Compensation Benchmarks
AI/ML Engineer roles pay a median of $154,000 based on 8,743 positions with disclosed compensation. Director-level AI roles across all categories have a median of $230,600. This role's midpoint ($278K) sits 81% above the category median. Disclosed range: $214K to $341K.
Across all AI roles, the market median is $190,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $300,688. For comparison, the highest-paying categories include AI Engineering Manager ($293,500) and AI Safety ($274,200). By seniority level: Entry: $85,000; Mid: $147,000; Senior: $225,000; Director: $230,600; VP: $248,357.
Pfizer AI Hiring
Pfizer has 1 open AI role right now. They're hiring across AI/ML Engineer. Based in New York, NY, US. Compensation range: $341K - $341K.
Location Context
AI roles in New York pay a median of $204,100 across 1,633 tracked positions. That's 7% above the national median.
Career Path
Common paths into AI/ML Engineer roles include Data Scientist, Software Engineer, Research Engineer.
From here, career progression typically leads toward ML Architect, AI Engineering Manager, Principal ML Engineer.
The fastest path into ML engineering is through software engineering with a self-directed ML education. A CS degree helps, but production engineering skills matter more than academic credentials. Build something that works, deploy it, and measure it. That portfolio project is worth more than a Coursera certificate. For career growth, the fork comes around the senior level: go deep on technical complexity (staff/principal track) or move into managing ML teams.
What to Expect in Interviews
Expect system design questions around ML pipelines: how you'd build a training pipeline for a specific use case, handle data drift, or design A/B testing infrastructure for model deployments. Coding rounds typically involve Python, with emphasis on data manipulation (pandas, numpy) and algorithm implementation. Take-home assignments often ask you to build an end-to-end ML pipeline from raw data to deployed model.
When evaluating opportunities: Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
AI Hiring Overview
The AI job market has 37,339 open positions tracked in our dataset. By seniority: 3,672 entry-level, 23,272 mid-level, 7,048 senior, and 3,347 leadership roles (Director, VP, C-Level). Remote roles make up 7% of the market (2,732 positions). The remaining 34,484 roles require on-site or hybrid attendance.
The market median for AI roles is $190,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $300,688. Highest-paying categories: AI Engineering Manager ($293,500 median, 21 roles); AI Safety ($274,200 median, 24 roles); Research Engineer ($260,000 median, 264 roles).
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
The AI Job Market Today
The AI job market spans 37,339 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (33,926), AI Software Engineer (823), AI Product Manager (805). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (3,672) are outnumbered by mid-level (23,272) and senior (7,048) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 3,347 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 7% of all AI roles (2,732 positions), with 34,484 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $190,000. Top-quartile roles start at $244,000, and the 90th percentile reaches $300,688. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Engineering Manager roles lead at $293,500 median, while Prompt Engineer roles sit at $145,600. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Rag (23,721 postings), Aws (12,486 postings), Rust (10,785 postings), Python (5,564 postings), Azure (3,616 postings), Gcp (3,032 postings), Prompt Engineering (2,112 postings), Kubernetes (1,713 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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