
Senior Manager, Advanced Analytics - Dermatology, Respiratory and Gastroenterology
Cambridge, MassachusettsMorristown, New Jersey Permanent Gepostet am Apr. 02, 2025 Endet am Jun. 12, 2025 Salary Range USD 108,750.00 - 157,083.33
Job title: Senior Manager, Advanced Analytics - Dermatology, Respiratory and Gastroenterology
Location: Cambridge, MA, or Morristown, NJ
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.
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 resources 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-informed 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
The Sr. Manager, Advanced Analytics - US Dermatology, Respiratory, and Gastroenterology will be responsible for predictive analytics, including use of AI/ML models, to assess and improve promotional effectiveness. This individual will be an integral partner to the Sanofi portfolio brand and commercial teams, helping to answer the “why” questions via drivers analyses to augment the “what” questions on brand performance.
This position will report to the Director, Advanced Analytics - US Dermatology, Respiratory, and Gastroenterology and will be based in Cambridge, MA OR Bridgewater, NJ.
We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?
Main Responsibilities
Partner and work closely with Brand and Functional heads to understand their business priorities and questions
Clean, aggregate, and organize data from disparate sources and transfer it to data lakes
Apply data science techniques, such as machine learning, statistical modeling, and artificial intelligence to generate predictive insights – tactical and strategic insights to improve marketing effectiveness
Implement data modeling processes to create algorithms and predictive models and perform custom analysis enabling micro segmentation
Coordinate with data management to ensure insights are based on reliable, high-quality data
Partner with Omnichannel and Brand Analytics leads to align on business logic and validate that Salesforce execution, Marketing and Media data are accurately processed into AI/ML models
Create dashboards to synthesize information and enable business decisions
Help Brand and Media teams translate budget optimization outputs into concrete action plans and recommendations (e.g., identifying root causes of Marketing ineffectiveness and associated levers of improvement)
Collaborate with team of Advanced Analytics Analysts in the offshore hub, helping onboard the team as we build out capabilities and partnering with them on projects.
About You
Basic Qualifications
BA/ BS degree and a scientific degree (either MS/ PhD) with a concentration in quantitative fields and/or advanced certification in modern data science/machine learning is required.
Minimum of 5+ years of experience in pharmaceutical Brand / Advanced Analytics, with experience in applying AI / Machine Learning / data science methodologies to address complex quantitative questions and derive actionable insights
Advanced analytical skills with programming language proficiency (e.g. SQL, SAS, Python, R, VBA)
Experience using analytical and code development platforms (e.g. Snowflake, Jupyter Notebook, SAS Studio, SQL developers, GitHub)
Experience with key pharmaceutical data sources, 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.)
Familiarity with data visualization and business intelligence tools (e.g. Power BI, Tableau)
Possess strong work ethic and is personally motivated
Effectively influence in a highly matrixed international environment, with ability to work with individuals across multiple time zones.
Ability to think strategically in an ambiguous environment and flex and pivot as the business requires
Effectively and confidently communicate to various audiences, including senior leadership – synthesizing complex ideas to simple.
Possess strong learning agility and high degree of curiosity with a focus on detail, accuracy and problem solving
Preferred Qualifications
Master’s Degree or MBA preferred
Relevant therapeutic area experience in pharmaceutical analytics preferred
High proficiency in Marketing Mix fundamentals and modelling techniques, specifically in Bayesian Marketing mix modeling is preferred.
Knowledge of HCP segmentation and adoption driver analyses is preferred
Why Choose Us?
Bring the miracles of science to life alongside a supportive, future-focused team.
Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.
Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.
Sanofi's Bridgewater, NJ office is scheduled to relocate to Morristown, NJ on or around March 24, 2025 and this role will then be based in Morristown, NJ or Cambridge, MA
Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers 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.
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All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.
Diversity und Inklusion sind in den Grundwerten von Sanofi verankert und spiegeln sich in unserer Arbeitsweise wider. Wir respektieren die Vielfalt unserer Belegschaft in Hinsicht auf ihre Herkunft, Erfahrungen und Lebensweisen. Wir erkennen die Bereicherung, die diese Vielfalt birgt, und fördern Inklusion sowie eine Arbeitsumgebung, in der diese Unterschiede sich weiter entwickeln können, zur Stärkung des Lebens unserer Mitarbeiter, Patienten und Kunden.
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