Be an Early Applicant
We’re in relentless pursuit of breakthroughs that change patients’ lives.
The Role
Lead a Mexico-based data science team to build marketing analytics, measurement frameworks (A/B tests, econometrics), and ML/AI solutions for Pfizer US commercial marketing. Drive reusable pipelines, AI-powered products, cross-functional partnerships, and translate complex analyses into actionable insights for senior stakeholders.
Summary Generated by Built In
ROLE SUMMARY
Pfizer Global Commercial Analytics (GCA) harnesses the power of data to drive robust analytical insights that inform some of Pfizer's most critical business decisions. Our dynamic team of subject-matter experts comes from diverse backgrounds - including data science, engineering, market research, and consulting - and collaborates to turn data into meaningful insights that have a direct impact on patients' lives and the future of Pfizer as a data-driven organization.
GCA is expanding its footprint in Mexico through the establishment of a dedicated analytics capability center to meet growing business demand and accelerate the development of innovative analytics solutions for the US Commercial Division.
The Lead, Data Science - GCA Mexico Analytics Center is a hands-on role that will oversee the Data Science team within the GCA Mexico Analytics Center. This leader will drive data-driven decision-making across Pfizer's US marketing organization, partnering closely with brand and Chief Marketing Officer (CMO) stakeholders to develop cutting-edge analytics capabilities, measurement frameworks, and AI-powered solutions that directly impact marketing performance and business outcomes.
The ideal candidate is an expert in data science with deep experience in marketing analytics, machine learning, and AI - and thrives at the intersection of advanced technology and real-world business impact.
ROLE RESPONSIBILITIES
QUALIFICATIONS
Basic Qualifications
Preferred Qualifications
Work Location Assignment: Hybrid
EEO (Equal Employment Opportunity) & 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, or disability.
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 .
Marketing and Market Research
Pfizer Global Commercial Analytics (GCA) harnesses the power of data to drive robust analytical insights that inform some of Pfizer's most critical business decisions. Our dynamic team of subject-matter experts comes from diverse backgrounds - including data science, engineering, market research, and consulting - and collaborates to turn data into meaningful insights that have a direct impact on patients' lives and the future of Pfizer as a data-driven organization.
GCA is expanding its footprint in Mexico through the establishment of a dedicated analytics capability center to meet growing business demand and accelerate the development of innovative analytics solutions for the US Commercial Division.
The Lead, Data Science - GCA Mexico Analytics Center is a hands-on role that will oversee the Data Science team within the GCA Mexico Analytics Center. This leader will drive data-driven decision-making across Pfizer's US marketing organization, partnering closely with brand and Chief Marketing Officer (CMO) stakeholders to develop cutting-edge analytics capabilities, measurement frameworks, and AI-powered solutions that directly impact marketing performance and business outcomes.
The ideal candidate is an expert in data science with deep experience in marketing analytics, machine learning, and AI - and thrives at the intersection of advanced technology and real-world business impact.
ROLE RESPONSIBILITIES
- Lead and develop a team of data scientists, fostering a high-performing, collaborative environment and providing hands-on coaching and career development within the GCA Mexico Analytics Center.
- Provide strategic leadership in the development and execution of marketing analytics capabilities, including brand measurement, channel optimization, targeting, and AI-driven innovation initiatives.
- Lead the design and deployment of advanced measurement frameworks, including impact measurement experiments (A/B testing, ANCOVA, econometric models) to evaluate and optimize US commercial marketing investments.
- Drive the development and implementation of machine learning and AI solutions that generate actionable insights, automate analytical workflows, and enhance the speed and precision of commercial decision-making.
- Identify unmet analytical needs across brand and marketing teams, and guide the strategic roadmap for developing new capabilities that advance GCA's innovation agenda.
- Partner cross-functionally with brand, CMO organization, Marketing, Finance, and Technology teams to align analytics capabilities with broader business objectives and embed insights into strategic planning.
- Design, develop, and maintain reusable data science assets, pipelines, and frameworks to improve operational efficiency and scalability across the team.
- Serve as a hands-on technical leader proficient in Python, R, and SQL, with the ability to translate complex analytical outputs into clear, compelling narratives for senior business stakeholders.
QUALIFICATIONS
Basic Qualifications
- Education & Experience: BA/BS with 7+ years of experience in data science or advanced analytics; MS/MBA with 6+ years; or PhD with 2+ years. A minimum of 3 years in a people leadership or project lead capacity is required.
- Technical Expertise: Expertproficiency in Python and SQL. Hands-on experience applying machine learning techniques (supervised, unsupervised, deep learning), AI-driven approaches, and statistical methods to solve real-world commercial analytics problems. Hands-on experience working with modern engineering tooling including GitHub, GitHub Copilot (or similar AI coding assistants), and DevOps practices such as CI/CD, version control workflows, and automated deployment.
- Measurement & Analytics: Demonstrated experience in marketing measurement methodologies, including impact measurement experimentation (A/B testing, ANCOVA, econometrics), marketing attribution modeling, and marketing mix modeling (MMM).
- AI & Innovation: Familiarity with the application of generative AI, large language models (LLMs), and automation techniques to enhance analytics workflows and accelerate insight delivery.
- Business Acumen: Ability to identify unmet analytical needs and translate them into scalable capability roadmaps.
- Communication: Excellent communication, presentation, and storytelling skills with the ability to translate complex data science outputs into clear and actionable insights for diverse audiences including senior leadership.
- Collaboration: Collaborative and results-oriented, with demonstrated ability to manage multiple priorities and influence cross-functional partners across business units and functions.
- Education Background: STEM degree (Science, Technology, Engineering, or Mathematics) with quantitative emphasis - such as Statistics, Computer Science, Operations Research, Economics, Actuarial Science, or Engineering - preferred.
Preferred Qualifications
- Industry or consulting experience in pharmaceutical marketing analytics or commercial data science.
- Subject matter expertise in one or more of the following: machine learning, Bayesian statistics, causal inference, or deep learning applied to commercial use cases.
- Knowledge of pharma-specific datasets such as IQVIA, claims data, or patient-level analytics.
- Experience building or contributing to AI-powered analytics products or platforms.
- Experience working in or with a Global Capability Center (GCC) or shared services analytics environment.
- Project management skills and experience coordinating across global, cross-functional teams.
Work Location Assignment: Hybrid
EEO (Equal Employment Opportunity) & 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, or disability.
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 .
Marketing and Market Research
Skills Required
- BA/BS with 7+ years (MS/MBA 6+, PhD 2+). Minimum 3 years people leadership or project lead experience.
- Expert proficiency in Python
- Expert proficiency in SQL
- Proficiency in R
- Hands-on experience applying machine learning techniques (supervised, unsupervised)
- Hands-on experience with deep learning
- Experience with AI-driven approaches, generative AI, and large language models (LLMs)
- Experience with GitHub and modern version control workflows
- Experience with GitHub Copilot or similar AI coding assistants
- Familiarity with DevOps practices including CI/CD and automated deployment
- Experience designing and executing marketing measurement methodologies (A/B testing, ANCOVA, econometrics, attribution modeling, MMM)
- Ability to design, develop, and maintain reusable data science assets and pipelines
- Strong communication, presentation, and storytelling skills for senior leadership
- Ability to identify analytical needs and translate into scalable capability roadmaps (business acumen)
- STEM degree with quantitative emphasis (preferred fields listed)
- Industry or consulting experience in pharmaceutical marketing analytics or commercial data science
- Subject matter expertise in Bayesian statistics, causal inference, or advanced ML methods
- Knowledge of pharma-specific datasets (e.g., IQVIA, claims data, patient-level analytics)
- Experience building or contributing to AI-powered analytics products or platforms
- Experience in or with a Global Capability Center/shared services analytics environment
- Project management experience coordinating global, cross-functional teams
What the Team is Saying
Daniel
Diagnostics Launch Lead
Anna
R&D Privacy Steward
Esteban
Specialist
Pfizer
Pfizer Compensation & Benefits Highlights
-
Healthcare Strength — Health coverage includes comprehensive medical with robust mental‑health networks, plus dental and vision options, and coverage for infertility/family‑building and transgender‑affirming care. Recent U.S. summaries name mental‑health partners and outline multiple plan choices.
-
Retirement Support — The retirement program provides a 401(k) with company match plus an additional employer Retirement Savings Contribution, along with financial‑planning support and company‑paid life and disability insurance. These elements are highlighted as part of the core U.S. package.
-
Parental & Family Support — Parental leave is described as up to 26 weeks in the U.S. when combining paid non‑medical parental leave with medical recovery where applicable, with exact pay and weeks dependent on circumstances and plan elections. Family‑building support includes egg preservation, adoption, and surrogacy coverage.
Pfizer Insights
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Our purpose ensures that patients remain at the center of all we do. We live our purpose by sourcing the best science in the world; partnering with others in the healthcare system to improve access to our medicines; using digital technologies to enhance our drug discovery and development, as well as patient outcomes; and leading the conversation to advocate for pro-innovation/pro-patient policies.
Why Work With Us
We are the inventors, the problem solvers, the big thinkers — those who surmount any hurdle to deliver breakthrough medicines to the people who are counting on them the most.
Gallery
Pfizer Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
2.5 days a week
Hudson Yards
Provincia de Buenos Aires
Andover, MA
Athens, GR
Chennai, IN
Collegeville, PA
Durham, NC
Groton, CT
Madison, NJ
Madrid, ES
Mumbai, Maharashtra
Rochester, MI
San Diego, CA
Seattle, WA
Tampa, FL
Center for Digital Innovation
Learn more
