Sr. Manager, Data Science

Join to apply for the Sr. Manager, Data Science & AI role at Pfizer The Global Commercial Analytics organization is committed to transforming data into actionable intelligence, empowering Pfizer to stay competitive and innovative in today’s data‑driven landscape. We play a pivotal role in extracting insights from large and complex datasets to drive strategic decision‑making. Collaborating closely with various subject matter experts across fields, our team leverages advanced statistical analysis, machine learning techniques, and data visualization tools to uncover patterns, trends, and correlations within the data. Additionally, we are dedicated to delivering new, innovative capabilities by deploying cutting‑edge machine learning algorithms and artificial intelligence techniques to solve complex problems and create value. We are looking for a Sr. Manager, Data Science and AI who will be responsible for collaborating with CMO & BT leadership in shaping the International AI roadmap, will be part of a DS & AI team designing, delivering, and upgrading innovative global capabilities and driving AI fluency in the anchor markets (majorly EU). This includes leading the execution and interpretation of AI/ML models, framing problems, and shaping solutions with clear and compelling communication of data‑driven insights. Roles & Responsibilities Deliver advanced analytical models, predictive algorithms, and AI‑powered tools to extract actionable insights to drive commercial strategies and tactics for BT/CMO & ICDLT. Engage with the end‑to‑end delivery of data science insights, from framing the business question, designing the solution, and delivering recommendations. Break down technical concepts into digestible insights and guide diverse stakeholders how to interpret. Continuously evaluate and enhance existing data science capabilities, identifying opportunities for optimization and innovation to drive greater business impact and ROI. Build strong relationships with key stakeholders, effectively communicating the value proposition of data science and fostering a culture of data‑driven decision‑making. Drive AI adoption and serve as an innovation thought partner. Cross‑Functional Collaboration Work closely with CMO, BT, Digital, and in‑country DS and IIS colleagues to deliver smooth scalable projects within GCA. Partner with Digital teams to enhance data science capabilities, aligning efforts to leverage digital data sources effectively. Foster collaboration with other teams to ensure seamless integration of data science initiatives across the organization’s infrastructure, promoting efficiency and effectiveness in leveraging data for informed decision‑making. Collaborate with Analytics Engineering to ensure the data ecosystem is conducive for data science modeling purposes. Qualifications Minimum of bachelor’s degree with strong relevant experience, preferably in engineering, economics, statistics, computer science, or related quantitative field. Advanced degree with some relevant experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, MBA or related field preferred. Experience using data science models to solve problems in a business environment setting. Relevant Experience Experience with machine learning technology, such as big data, Java, Python, R, AWS, LLM models, Scala and visualization techniques, including Dash, Tableau and Angular. Experience in understanding brand content, strategy, and tactics. Ability to effectively utilize dashboards and data products to derive insights. Experience with supporting commercial strategies and tactics; experience in pharmaceutical or healthcare industry is preferred. Experience with both traditional SQL and modern NoSQL data stores, including Snowflake/Databricks. Ability to partner with cross‑functional teams (Commercial, Medical, Operations) to execute brand tactics. Able to connect, integrate and synthesize analysis and data into a meaningful ‘so what’ to drive concrete strategic recommendations for brand tactics. Capable of describing relevant caveats in data or in a model and how they relate to the business question. Ability to be flexible, prioritize multiple demands and deal with ambiguity. Professional Characteristics Growth Mindset: Evaluates, understands and communicates the impact of data insights across the business. Analytical Thinker: Synthesizes facts from varied data sources into discernable insights and perspectives; takes a problem‑solving approach. Strong Data and Information Manager: Uses analytical skills/tools to produce clean, organized data for objective insights. Strong Communicator: Translates complex findings into actionable commentary that facilitates decision‑making. Relationship Manager: Builds strategic relationships with stakeholders across all levels to align objectives. Highly Collaborative and Proactive: Manages projects collaboratively, drives implementation, and engages stakeholders for buy‑in. Work Location Assignment Hybrid (some office presence is required) Purpose Breakthroughs that change patients’ lives. At Pfizer we are a patient‑centric company guided by our four values: courage, joy, equity, and excellence. Our breakthrough culture embodies our dedication to transforming millions of lives. Digital Transformation Strategy We are leading the way in adopting new data, modeling, and automated solutions to accelerate drug discovery and development, enhancing health outcomes and patient experience. Flexibility We aim to create a trusting, flexible workplace culture encouraging work‑life harmony, attracting talent, and enabling everyone to be their best self. Equal Employment Opportunity We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating diversity in all its forms and empowers employees to grow. Disability Confident We are proud to be a Disability Confident Employer and encourage you to put your best self forward, with the knowledge that we will support reasonable adjustments. Marketing and Market Research #J-18808-Ljbffr