Sanofi
healthcare
DigitalR&D-LeadSoftwareEngineering
Neural analysis suggests this role is
optimal for Lead candidates.
“Digital R&D - Lead Software Engineering at Sanofi. Skills: Software Engineering Leadership, Microservices Architecture, Scalable Application Design, System Integrations, Cloud Technologies, GenAI. Lead, manage, and mentor a high-performing Agile engineering team. Drive innovation and operational excellence in software development”
What You'll Achieve.
accelerate R&D, manufacturing and commercial performance; bring better drugs and vaccines to patients faster; improve health and save lives; enhance software development efficiency and innovation; drive engineering excellence; creating an Agile, adaptive environment; Define and operationalize delivery/quality metrics and KPIs; Ensure there is consistent directional alignment of metrics related to portfolio and Digital R&D OKRs; building innovative solutions that impact lives globally; enhancing existing services or launching new ones
Industry & Context.
troubleshoot issues
What They're Looking For.
Must Have
minimum of 15 years of experience managing software engineering teams, proven track record of leading groups of 15+ engineers, Demonstrated success in delivering complex projects, mentoring team members effectively, fostering a culture of collaboration and innovation, Extensive experience driving integration initiatives across diverse systems, ensuring seamless interoperability at scale, Expertise in software architecture, microservices development, scalable application design, Proficiency in designing and implementing system integrations using APIs, middleware, and messaging systems, knowledge of integration tools and patterns such as RESTful APIs, GraphQL, and event-driven architectures, coding skills in languages such as Python, Java, or Scala, SQL, Deep understanding of cloud databases (e.g. , Snowflake), data management solutions, including AWS RDS, DynamoDB, and S3, focusing on scalability, reliability, and performance optimization, Proven ability to design, deploy, and manage secure, reliable integrations with cloud-based platforms and services, ensuring seamless data flow and system scalability, Experience with advanced GenAI technologies, such as AWS Q and ChatGPT, key AWS components like Lambda, SNS, and more, deliver robust, cloud-native solutions, Excellent communication and collaboration skills, ability to work across multidisciplinary teams to deliver end-to-end solutions, A passion for continuous learning, staying ahead of technology trends, promoting adaptability within the team, Proficiency in English is essential
Nice to Have
Advanced degrees or certifications are a plus but not mandatory if your experience and skills align with the role, other languages a plus
What You'll Do.
and mentor a high-performing Agile engineering team
Drive innovation and operational excellence in software development
Continue Digital R&D’s transformation journey away from siloed delivery
Operationalize our product centric
transversal center of excellence (CoE) model
Lead efforts to enable robust DevOps capabilities and tools
Ensure technical vendor resources are fully integrated with our internal team
Guide software engineering teams with technical and leadership expertise
Implement cutting-edge technologies
Design and develop high-performance
scalable applications using microservices architecture
Drive initiatives to enhance processes and outcomes across cross-platform teams
Define and operationalize delivery/quality metrics and KPIs
Ensure consistent directional alignment of metrics related to portfolio and Digital R&D OKRs
Co-Lead and manage necessary technical engineering/delivery coordination across Digital R&D Delivery Engines
Collaborate with cross-functional teams to troubleshoot issues
define product requirements
How You'll Work.
Team & Collaboration
fostering effective collaboration; work across multidisciplinary teams; collaboration across diverse business teams and vendors; working in a dynamic team
Communication Scope
Excellent communication and collaboration skills
Process & Methodology
delivering complex projects, Agile practices
Full Job Description
**Job title:** **Digital R &D - Lead Software Engineering ** **About Sanofi:** We are an innovative global healthcare company, driven by one purpose: we chase the miracles of science to improve people’s lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions. Sanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives. Join our **Digital R &D Software Engineering** team as the **Engineering Lead** and take a pivotal role in centralizing and advancing engineering capabilities across Digital R&D. In this role, you will lead, manage, and mentor a high-performing Agile engineering team, driving innovation and operational excellence in software development. **Key Responsibilities:** * **Lead Transformation:** Continue Digital R&D’s transformation journey away from siloed delivery and operationalize our product centric, Agile, transversal center of excellence (CoE) model that promotes collaboration and accountability. Lead efforts to enable robust DevOps capabilities and tools partnering with Digital Tech, Architecture, and other Sanofi accelerator teams. * **Integration of vendor resources** : Ensure technical vendor resources engaged in product delivery and support are fully integrated with our internal team in our ways of working, following our standards, and maintain high quality and productivity. Currently, the scale is expected to be
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