Director - Data Science & AI

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.

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.

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