Job Description

Job Description

Job Title: Head Global Device Digital and Data Science

Location: Cambridge, MA

About the Job

We deliver 4.3 billion healthcare solutions to people every year, thanks to the flawless planning and meticulous eye for detail of our Manufacturing & Supply teams. With your talent and ambition, we can do even more to protect people from infectious diseases and bring hope to patients and their families. 

The Head of Global Device Digital & Data Science leads a diverse team of experts responsible for driving digital innovation, digitalization, advanced Analytics, Artificial Intelligence and technical excellence across Sanofi's Global Device Unit.

This role is accountable for establishing and implementing strategic direction in computational modeling, data science, digital transformation, and artificial intelligence to optimize critical design, testing, and manufacturing processes throughout the entire product development lifecycle.

The position holder drives the integration of cutting-edge technologies and methodologies to enhance development efficiency, product quality, and manufacturing performance while ensuring regulatory compliance. They are responsible for building and maintaining high-performing teams that deliver value through digital twins, simulation, advanced data analytics, and AI-driven solutions that support Sanofi's ambition to lead the industry in device-mediated therapies.

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 :

•   Strategic Leadership and Vision : Develop and implement the strategic vision for Digital & Data Science that drives innovation and digital transformation across GDU, aligned with Sanofi's corporate objectives and long-term business goals.

• Technical Excellence and Innovation : Lead the implementation of cutting-edge technologies including computational modeling, digital twins, AI, and advanced analytics to optimize device design and manufacturing processes while ensuring regulatory compliance. 

• Team Leadership and Development : Build, develop, and retain high-performing teams across multiple technical disciplines, establishing clear objectives and fostering a culture of innovation, collaboration, and continuous learning.

• Cross-Functional Collaboration and Stakeholder Management : Establish effective partnerships with internal stakeholders (R&D, Manufacturing, Quality, Regulatory) and external partners, representing GDPU Digital & Advanced Data Use in senior leadership forums and ensuring alignment between technical strategies and business needs.

• Budget and Resource Management : Establish effective partnerships with internal stakeholders (R&D, Manufacturing, Quality, Regulatory) and external partners, representing GDPU Digital & Advanced Data Use in senior leadership forums and ensuring alignment between technical strategies and business needs.

• Regulatory Compliance and Risk Management : Establish effective partnerships with internal stakeholders (R&D, Manufacturing, Quality, Regulatory) and external partners, representing GDPU Digital & Advanced Data Use in senior leadership forums and ensuring alignment between technical strategies and business needs.

  About You

Education & Experience:

• A minimum of a Bachelor's Degree in Engineering, Computer Science, Data Science, or a related technical field is required

• Advanced degree is preferred

• A minimum of 10 years of experience in leadership roles within digital transformation, data science, or related fields in the pharmaceutical or medical device industry is required

• Proven track record of implementing digital strategies and driving innovation in a regulated environment is required

• Excellent leadership and communication skills, with the ability to influence at all levels of the organization

• Experience in managing large, multi-disciplinary teams across different geographic locations and in a matrix environment

• Familiarity with FDA and other regulatory requirements for computational modeling, data management, and software validation

• Proficiency in multiple languages (English required, additional languages beneficial)

• This position may require up to 35% overall travel

Skills and Competencies:

• Strategic thinking and ability to translate vision into actionable plans

• Strong analytical and problem-solving skills

• Expertise in computational modeling, digital twins, and simulation technologies

• Proficiency in data science, AI, and advanced analytics methodologies

• Excellent organizational and leadership skills

• Ability to build and maintain strong relationships with internal and external stakeholders

• Adaptability and agility in a fast-paced, evolving environment

• Strong ethical standards and commitment to Sanofi's values

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 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.

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