Associate Director – AI & GenAI

Job Title: Associate Director – AI & GenAI

Location: Cambridge, MA - Bridgewater, NJ - Morristown, NJ

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.

Who You Are:

You are an expert in AI and GenAI methodologies with the ability to do quick prototyping of complex concepts before they can be added to the product roadmap. You are a valued influencer and a thought leader who is motivated to contribute to an AI focused Digital data organization. You have a keen eye for improvement opportunities and the demonstrated ability to deliver solutions that would enable data visualization, analytics, and data sciences. You are inquisitive, motivated, enthusiastic and a self-leader. Your prior experience in Lifesciences industry is preferred but is not required.

Our vision for digital, AI and GenAI:

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 leaders and academics in machine learning to further develop your skillsets

Job Highlights:

· As a data champion, look to implement analytical models on data sets to uncover insights

· Validate business requirements, defining global standards for data models, key performance indicators and measures, then implementing the global standards within our products for business units and markets

· Create and implement repeatable analytics models

· Tell a story with data, hosting co-creation sessions to ensure needs are well understood and features are well articulated, producing mock-ups as required to quickly iterate on user feedback

· Understand the data landscape that enables the enterprise solutions, with the ability to align on global standards across multiple stakeholder groups

· A critical and analytical thinker, and a creative problem solver who can navigate difficult discussions and ambiguity to arrive at design solutions

· Understand and implement enterprise data governance, data architecture and data management standards

· Collaborate with business stakeholders to understand the business requirements, translating them to data, analytics and AI capabilities

· Partner with Product Owners and Scrum Masters and be able to work in agile pods

· Partner with Data Engineers and Data scientists to create data products

Key Functional Requirements & Qualifications:

· Conversant with Python and/or R languages to create predictive analytics and GenAI based proof of concept prototypes

· Strong knowledge working within an Agile environment

· Strong knowledge deploying analytical models using software development tools like GitHub

· Interest in healthcare and pharmaceutical data

· Experience in data visualization and analytics solutions deployment

· Experience in building data pipelines with data quality metrics in place

Key Technical Requirements & Qualifications:

· A university/college degree graduate in disciplines of engineering, computer science, mathematics, data science or related fields.

· Strong technical knowledge in building analytical models, using languages like python, R and querying languages like SQL is required

· Knowledge of data discovery tools like Informatica DQ, Axon is preferred

· Knowledge of data platform tools like Snowflake and cloud platforms such as AWS

· Strong analytical background

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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