AI and Data Science Technical Analyst-Manager

Job Title: AI and Data Science Technical Analyst-Manager

Location: Cambridge, MA

About the Job

About Sanofi: Sanofi is a global leader in healthcare, dedicated to improving lives through scientific innovation. Our mission is to chase the miracles of science to improve people’s lives. We are expanding across borders and transforming healthcare for all. People are the most critical ingredient to our success.

About E.D.G.E.: Sanofi’s E.D.G.E. Team (Emerging Disruptive Growth Exploration) conducts cutting-edge research in healthcare and incubates data-driven solutions to improve health outcomes, support families, enhance clinicians’ experiences, and reduce healthcare costs. We are actively incubating multiple concepts to improve lives globally, especially for underserved populations.

We are seeking an experienced AI & Data Science Technical Analyst/Manager to lead technical product management functions in a cross-functional pod of Computational Scientists, Data Scientists, and AI/ML Engineers. This role is pivotal in guiding the development of data and AI products that will revolutionize our data product pipelines. You will be responsible for defining the product vision, strategy, and roadmap for our AI-driven solutions, translating complex scientific and business challenges into actionable product plans.

You will orchestrate the work of a team that uses clinical and real-world data to create innovative data products and projects.  Your leadership will ensure that our versatile teams deliver innovative, production-ready models and solutions that provide a competitive advantage for Sanofi. 

We are an innovative global healthcare company with a focus on immunology that extends to innovation in diabetes and transplant medicine. Across different countries, our talented teams are determined to deliver a best-in-class customer experience using the best of digital, artificial intelligence and personal know-how. With a focus on immunology that extends to innovation in diabetes and transplant medicines, we pursue progress to make a real impact on millions of patients around the world.

Main Responsibilities:

• Product Vision and Strategy: Assist in the definition and communicate a clear product vision and strategic roadmap for AI and data science initiatives, aligning with the broader goals of EDGE, Digital, R&D and business stakeholders.

• Roadmap and Execution: Manage the entire product lifecycle, from ideation and scoping to delivery and iteration. Break down complex problems into effective, actionable steps for the technical team. 

• Cross-Functional Leadership: Lead and collaborate with a team of data scientists, computational scientists, engineers, and MLOps professionals to develop, test, and deploy AI/ML solutions into product teams. 

• Stakeholder Management: Serve as the primary point of contact between the technical team and non-technical stakeholders, including researchers, clinicians, and business unit leaders. Translate and champion the team's advanced analytics capabilities and results to a broader audience. 

• Requirement Definition: Work with stakeholders to identify areas for data-driven improvement, gathering requirements and translating them into technical specifications and user stories for the development team. 

• Process Management: Implement and oversee agile methodologies to manage workflow and ensure the timely delivery of high-quality data products, from preparing common data models to deploying production-ready models. 

• Data and Technology Oversight: Guide the team in leveraging diverse and large-scale biomedical datasets, including electronic health records (EHRs), clinical trial data, and real-world evidence.  Ensure the adoption of a leading-edge tech stack and foster an environment of continuous learning and improvement. 

About You

Key Requirements & Qualifications:

• Educational Background: A degree in a quantitative or technical field such as Computer Science, Engineering, Statistics, or significant experiences in technical/digital industries, preferably with advanced degrees. 

• 8 years of Product Management Experience: Proven experience in a technical product management role, preferably in an agile environment, with a track record of launching production-level code and data-driven products. 

• Technical Fluency: Strong understanding of the data science and machine learning landscape. You should be familiar with concepts such as supervised/unsupervised learning, deep learning, NLP, and MLOps. While you w