Do you want to make an impact on patient health around the world? Do you thrive in a fast-paced environment that brings together scientific, clinical and commercial domains together through data and analytics?
Pfizer is seeking a senior leader in AI & Data Science to build and lead a best-in-class team focused on AI accelerators within commercial analytics. The ideal candidate combines deep technical expertise in ML/LLM/Agentic with a strong consulting and product management background.
Reporting to the International Business Aligned Data Science lead, you will be responsible for leading a team of data scientists across multiple markets ensuring best in class methodologies and deliverables across the entire data journey from Descriptive to Predictive analytics.
As a Director of Data Science, you will lead a team of up to 8 members. Your responsibilities include managing the in-market demand intake, prioritization, and delivery for anchor markets. Additionally, you will shape and drive Native AI CFC capabilities for International clusters/markets.
You will collaborate cross-functionally to empower agentic AI led decision-making, accelerate business transformation, and deliver measurable business impact.
This role sits at the intersection of business strategy, data, and AI, and is responsible for defining what to build and why, ensuring the accelerators delivers measurable business value across markets and use cases.
ROLE RESPONSIBILITIES:
This role is accountable for delivering data science driven insights & solutions and will partner with senior functional leads for across Commercial analytics to develop and implement models, insights, and data products that drive brands’ strategic priorities.
- You are a top-tier data scientist and product manager with experience in leading teams, organizing analytical processes and workflows, and mentoring/developing the managers what work on your team as well as junior team members.
- You are a hands-on AI/ML leader who has demonstrated the ability to hire, build and develop high performing teams to meet the needs of a highly dynamic and complex business.
- You have a passion for applied empirical analytics and answering hard questions with data, and the demonstrated ability to conceptualize, promote and implement business insights.
- You have the ability to use advanced machine learning techniques for driving highly applied analyses and tools to directly drive revenue and optimize resources.
- You have experience building and leading enterprise team to develop end-to-end ML/AL solutions and application at large scale in the Cloud.
- Have a strong passion for conceptualizing, documenting and deploying complex analytical plans to take on business problems.
- Confirmed collaboration, executive communication and storytelling skills with ability to adapt and connect across a variety of audiences. This includes strong writing, and data visualization skills with the ability to communicate complex quantitative analysis in a clear, precise, and actionable manner to senior executives.
- Be a self-starter, driven, accountable and a high-energy leader.
- Background in healthcare, Pharma, or health payments analytics experience highly preferred.
QUALIFICATIONS:
Required Experience:
- Strong proven experience in Product Management / Product Ownership, preferably in data, analytics, or AI-driven products
- Strong experience working with cross-functional teams (business + tech + data)
- Proven track record of delivering complex, enterprise-grade platforms
- Experience in commercial analytics, pharma, or healthcare is highly preferred
- Familiarity with AI/ML or GenAI/Agentic systems is a strong plus
Technical Skills:
- Proficient in Python and/or R, with solid understanding of advanced statistics
- Strong hands-on experience in ML/LLM/Agentic platform development & deployment
Knowledge of API, MCP, cloud environments and data engineering workflows
- Agentic Workflows ( multi step reasoning, reinforcement, Eval etc )
Business & Domain Skills:
- Proven ability to translate data insights into commercial recommendations
- Understanding of marketing intelligence, third party pharma data, media planning, budget optimization
- Knowledge of pharma markets, HCP/DTP promotion strategy, and compliance
- Ability to partner with marketing, finance, brand teams to influence decisions
- Experience presenting to C-suite and senior leadership
NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS :
Work Location Assignment: Hybrid
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.
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
Pfizer's aim is to provide equality of opportunity in the recruitment process by avoiding any bias or potential discrimination on any grounds including (but not limited to): sex, age, race, religion or belief, sexual orientation or disability. At Pfizer we are creating an organization and promoting a culture that respects each individual's unique character and life experiences and reflects the diversity of our society, customers and markets. We will achieve this through fostering and sustaining an environment in which every colleague feels valued and supported.
Disability Inclusion:
Onze missie is om de kracht van al onze mensen te ontwikkelen en ruimte te geven. We zijn trots om een inclusieve werkgever te zijn, die aan alle kandidaten met een beperking gelijke kansen biedt. We moedigen je aan om jezelf te zijn en dat met ons te delen, wetende dat wij ons best gaan doen om jouw sollicitatie en toekomstige carrière te ondersteunen. Jouw reis bij Pfizer begint hier!
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
[email protected]. 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.
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.
Voor meer informatie over toegestane en verboden toepassingen van AI tijdens het wervingsproces, raadpleeg onze richtlijnen voor het gebruik van AI door kandidaten op Pfizer Careers.
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