Director, US Advanced Analytics - GenMeds and Vaccines

Job Title Director, US Advanced Analytics - General Medicines and Vaccines Location Morristown (preferred) or Cambridge About the job Ready to push the limits of what’s possible? Join Sanofi in one of our corporate functions and you can play a vital part in the performance of our entire business while helping to make an impact on millions around the world. At Sanofi, we chase the miracles of science to improve people’s lives. We believe our cutting‑edge science and manufacturing, fueled by data and digital technologies, have the potential to transform the practice of medicine, turning the impossible into possible for millions of people. Currently, Sanofi has the most robust pipeline and forthcoming product launches in the company’s history. As the next phase of our Play‑To‑Win strategy, Sanofi must appropriately support this pipeline to materialize our vision of delivering scientific miracles to patients worldwide. Thus, modernizing the Sanofi operational structure is also required. In line with this, project DRIVE is shepherding change throughout the organization and created the development of the Go‑to‑Market Capabilities (GTMC) team within the company. The new GTMC organization is charged with delivering best‑in‑class capabilities to bring speed and increased value to commercial operations. It will refine priorities across products, markets, and the pipeline through dynamic resource allocation and efficiencies. Silos that existed between business units as well as duplicative and overlapping resources will be replaced with standardized processes and tools. Operating with a One Sanofi mindset and entrepreneurial spirit, GTMC will accelerate and improve key capabilities to do more with less and facilitate the best‑in‑formed strategic decision‑making across the organization. The GTMC organization aims to: Centralize Go‑to‑Market operational tasks across GBUs, standardize best in class capabilities, strengthen global support, and implement a better vertical reporting structure within GTMC from local to global. Define ways of working, bringing clarity on the interactions across GBUs, Digital, and Commercial executional support teams from Sanofi hubs to optimize process excellence and efficiency. About Sanofi We’re an R&D‑driven, AI‑powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives. About You Main Responsibilities Retain & develop high‑quality talent to build a best‑in‑class Advanced Analytics team. Support hiring and development of onshore and/or offshore Advanced Analytics team members, fostering a positive team culture that rewards curiosity, collaboration, and inclusion. Lead Hub team day‑to‑day on projects in a matrix management structure. Coordinate with larger Advanced Analytics team & Commercial leadership to prioritize requests and balance team workload. Manage team budgets and relationships with external vendors to accomplish key Advanced Analytics & Commercial goals. Ensure compliance with relevant policies and SOPs. Act as TA (Therapeutic Area) dedicated Advanced Analytics lead and advisor on AI/ML model builds including marketing mix modeling, multi‑touch attribution, next‑best action and cross‑functional orchestration engines. Apply data science techniques, such as machine learning, statistical modeling, and artificial intelligence, to unlock insights and new strategies. Lead model development of Patient Identification models to enhance HCP targeting & segmentation as well as Next Best Action applications. Lead model development of Patient Support Services models – e.g. drivers analyses and risk identification for non‑conversion and discontinuation to inform PSS strategy. Partner with Brand Analytics leads to leverage outputs of AI/ML models such as patient prediction, HCP clustering and promotional sensitivity models to enhance salesforce targeting and sizing workstreams. Act as a strategic partner to Brand Leadership by assessing impact of sales & marketing tactics, providing budget and strategic recommendations, and advancing omnichannel initiatives. Liaise between Commercial leadership and Marketing Science Analytics NA lead to ensure timely and accurate refresh of marketing mix models. Provide brand‑specific context to sales & marketing tactic performance and budget‑optimization scenarios. Partner with Marketing Science Analytics NA lead and Omnichannel Media team to translate budget‑optimization outputs into concrete action plans and communicate recommendations to senior leadership. Assist Commercial leadership in designing and testing promotional investment scenarios to support key business planning activities (e.g., Budget & Strat Plan). Leverage outputs of AI/ML models to provide actionable insights and recommendations on targeting strategy and performance drivers. Foster strong agency partnerships to ensure insights are based on reliable, high‑quality information, and weave in context surrounding media execution strategy. Drive integration of Omnichannel Analytics perspectives with broader Advanced & Brand Analytics activities to deliver a comprehensive narrative on marketing execution and customer engagement. Provide strategic guidance & ad‑hoc support to Commercial teams, and the I&A organization, as an Advanced Analytics subject‑matter expert. Coordinate ad‑hoc Advanced Analytics initiatives to better understand and impact key business levers. Collaborate with Data Management and Digital teams to drive the internal integration of Brand Media execution data across all channels. Work with Brand, Marketing Science, Consumer Media and Omnichannel HCP Analytics colleagues to support and enhance internal data management/analysis platforms. Partner with other I&A teams to advocate for continued development of internal analytics capabilities and share knowledge across therapeutic areas. Education Requirements BA/BS degree and either: a scientific degree (either MS/PhD) with a concentration in quantitative fields OR advanced certification in modern data science/machine learning. Skills and Competencies Minimum of 10+ years of experience in a significant Data / Analytics role – advanced knowledge of statistical models and modeling methodologies (e.g., Bayesian statistics, regression, customer lifecycle value, A/B testing, etc.). Preferably experience with Marketing Mix Modeling (MMM). Proven leadership acumen, with well‑developed communication & presentation skills. Strong strategic thinking ability, with deep understanding of the life‑sciences industry. Excellent analytical skills, with demonstrated ability to design, develop, and execute analyses to answer complex business questions. Experience with key pharmaceutical data sources and analytics platforms, including: National‑level sales / demand data (e.g., IQVIA NPA & NSP) Longitudinal HCP & patient‑level claims (e.g., IQVIA, Symphony, Komodo, etc.) Specialty pharmacy / patient services data (e.g., Capgemini / LiquidHub) CRM systems (e.g., Veeva, Salesforce, etc.) Media platform reporting tools (e.g., CM360 / SA360, Meta Business Manager, etc.) Site analytics platforms (e.g., Google Analytics & Adobe Analytics) Data management & analysis platforms (e.g., Databricks, Snowflake, etc.) Data visualization / business intelligence tools (e.g., Tableau, Qlik, Power BI, etc.) MS Office applications (Excel, PowerPoint, Word) Proficiency in programming languages (preferably SQL and Python). Soft Skills Effectively influence in a highly matrixed international environment, with ability to work with individuals across multiple time zones. Effectively and confidently communicate to various audiences, including senior leadership. Synthesize complex ideas to simple. Develop brand implications from market research findings, not just a summary of the data. Strong learning agility and high degree of curiosity. Strong focus on detail, accuracy, and ability to solve problems through analytical reasoning. Strong work ethic and personal motivation. Ability to think strategically in an ambiguous environment and flex and pivot as the business requires. Demonstrated EQ and leadership skills. EEO Statement Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Aff… committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. #J-18808-Ljbffr