Head of Data Foundations, Industrial Affairs
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Job Description
The role is hybrid remote 2-3 days onsite per week.
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.
Who You Are
You are an experienced data engineering, architecture and management professional, who is interested in designing and developing comprehensive data democratization solutions to support and facilitate business operations and analytics solutions. You have a strong understanding of data governance principles, back-end and front-end technologies, and have experience implementing highly functional solutions that can scale. You have a passion for the power of data democratization and know how to ensure user needs are met through agile development and stakeholder engagement. You are an excellent communicator, and can work with business subject matter experts, data architects, governance teams, support teams and managers to deliver professional grade solutions.
Our vision for digital, data analytics and AI
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. This has enabled us, to accelerate R&D, improve manufacturing and commercial performance, and bring novel drugs and vaccines to patients faster, all in order to improve health and save lives.
The Digital Team at Sanofi is a unique data-driven team. We pride ourselves on being data obsessed and highly focused on using state of the art processes along with global technologies to drive impact to our solutions. We measure our insights and products based on how they preform across the globe and hold ourselves to the highest regard as our solutions can impact millions of lives. When tackling a problem, we do not just ask how we will create a solution, but how we will create a solution that reaches across the world with the best possible societal outcome.
If you are passionate about improving the health and wellness of people across the globe using Data as your means, then you should look no farther than the Digital Team here at Sanofi. Join us on our journey in enabling Sanofi s Digital Transformation through becoming an AI first organization. This means:
- AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment.
- Leading Edge Tech Stack: Experience build products that will be deployed globally on a leading-edge tech stack.
- World Class Mentorship and Training: Working with renowned, published leaders and academics in machine learning to further develop your skillsets.
Key Responsibilities:
- Lead a team of data management analysts, product owners, scrum masters and project managers to plan, execute and support Sanofi s ambitions in data foundations.
- Be in close contact with Sanofi s Industrial Affairs (manufacturing, supply chain) stakeholders to prioritize, scope, plan and develop data democratization solutions that will enable improved usage of critical data assets across the organization.
- Partner with data experts, business stakeholders and process owners in implementing data governance best practices
- Select optimal approaches among different external vendors for establishment of data foundations and work closely with them to customize their offering for our needs.
- Provide guidance and leadership to all Industrial Affairs teams on the way they should store, access, search and retrieve data
- Work with developers, engineers, and MLOps to implement uniform processing tools for the data stored on our servers.
Requirements
Key Requirements:
- PhD or MSc in computer science, software engineering, information systems or related area with at least 6 years of experience in working on development of Operations (industrial, manufacturing, supply chain) data and engineering products.
- Demonstrated ability to lead a team of data analysts, product owners and engineers, and to plan and execute large scale data foundation projects.
- Demonstrated knowledge of data management and governance principles, and other methods that rely on well-organized data.
- Experience developing deployable code and data products and with deploying these under an agile work environment.
- Comfortable working in cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark).
- Demonstrated work with leading data and database vendors.
- Excellent written and verbal communication, business analysis, data visualization and data storytelling skills.
- Strong interest in the use of data in the life and medical sciences to improve patient lives.
- Experience with core data science languages (such as Python, R, Scala), and familiarity with key database systems (e.g. SQL, NoSQL).
- Knowledge of AI/ML methods and data requirements
- Experience with various enterprise-level Application Programming Interfaces (APIs)
- Experience with Operations (industrial, manufacturing, supply chain) systems preferred
Key Requirements: PhD or MSc in computer science, software engineering, information systems or related area with at least 6 years of experience in working on development of Operations (industrial, manufacturing, supply chain) data and engineering products. Demonstrated ability to lead a team of data analysts, product owners and engineers, and to plan and execute large scale data foundation projects. Demonstrated knowledge of data management and governance principles, and other methods that rely on well-organized data. Experience developing deployable code and data products and with deploying these under an agile work environment. Comfortable working in cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark). Demonstrated work with leading data and database vendors. Excellent written and verbal communication, business analysis, data visualization and data storytelling skills. Strong interest in the use of data in the life and medical sciences to improve patient lives. Experience with core data science languages (such as Python, R, Scala), and familiarity with key database systems (e.g. SQL, NoSQL). Knowledge of AI/ML methods and data requirements Experience with various enterprise-level Application Programming Interfaces (APIs) Experience with Operations (industrial, manufacturing, supply chain) systems preferred
Employment Type
Full Time
