Position: Data Engineering Manager – Head of Large Molecule Research Data Foundations (Digital Data, Large Molecule Research)

About Sanofi:

We are an innovative global healthcare company, driven by one purpose: chasing 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 on 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.

In alignment to our digital transformation, we have launched a new major strategic initiative in 2023: the Biologics x AI Transformation. This is positioned to be a unique data-driven team, with expertise in AI platforms, data engineering, ML operations, data science, computational biology, strategy, and beyond. We are working as one to identify, design, and scale state-of-the-art AI capabilities targeted to truly transform how we research biologics

Who You Are:

You are a dynamic people manager with a background in data engineering looking to drive globally scalable solutions for Sanofi’s advanced analytic, AI and ML initiatives in Large Molecule Research. You are an influencer and leader who has deployed data engineering and integration solutions with technically robust lifecycle management (e.g., new releases, change management, monitoring and troubleshooting). You have a keen eye for improvement opportunities while continuing to fully comply with all data architecture, platform, quality, and governance standards. You have worked with Research & Development (R&D) in pharma or biotech and are well versed in the use of technology to improve the design of drugs and molecules.

In your role, you will be reporting directly to the Head of the LMR Program, providing architectural leadership and know-how on data pipeline construction, execution, and operations. You will work closely with multiple transversal teams in Data (across foundational data platforms, business-facing AI products, and data portfolio management), Digital (infrastructure, cloud, security, Agile) and our research scientists. You will have direct people management responsibilities and accountabilities for a team of data engineers, with opportunities to shape your team at your discretion.

Job Highlights:

• Work with the LMR business team globally to deliver value in the use of ML / AI to screen, design and optimize large molecules for drugs.

• Lead and guide a team of data engineers and partner with respective teams (analytics / AI, digital, platform and scientists) to drive results as data engineering expert

• Work in a cross-functional agile pod to design and build hybrid-cloud solutions with automated pipelines that ingest, transform, and deliver data products reliably

• Understand complex business and design data and technology solutions, while aligning to platforms and architecture standards

• Support life cycle management of deployed data assets and products (e.g., new releases, change management, monitoring and troubleshooting)

• Establish global data engineering standards and assets drive efficiency and simplicity for the center

• Define and execute a plan for development and sustainment of data products

• Lead / actively contribute to data engineering community

• Lead multidisciplinary teams, with and without external third-party partners/vendors, with direct supervisory and people management responsibilities

Key Functional Requirements & Qualifications:

• Strategic thinker with the ability to act as a translator between Data and the LMR team, devising fit-for-purpose data engineering solutions and assets

• Experience working in cross-functional teams in large organizations to solve complex data architecture and engineering problems

• Relationship-oriented with the ability to communicate meaningfully and influence all levels of stakeholders

• Storyteller with the ability to translate complex technical jargon and concepts into something simple, accurate and understandable

• Ability to deal with ambiguity and work in autonomy with limited guidelines

• Effective written communication, presentation, and interpersonal skills

• Good understanding of agile/scrum development processes and concepts

• Able to work in a fast-paced, constantly evolving environment and manage multiple priorities

• Attention to detail & technical intuition

Key Technical Requirements & Qualifications:

• Bachelor’s/Master’s in business, or STEM (science, technology, engineering, mathematics) preferred or relevant field, with 5+ years of relevant working experience in the life sciences/pharmaceutical/biotech industry

• Experience designing, developing, optimizing, and / or maintaining data solutions including pipelines, architectures and data sets

• Strong knowledge of data integration technologies, ETL / ELT, job flows using traditional and modern data engineering technologies, preferably Informatica/IICS

• Expertise in working with multimodal data systems and architecture including batch, near real-time, and streaming

• Demonstrated experience developing production solutions with distributed architectures and processing technologies (Spark, Hadoop, Kafka, Cloud providers)

• Strong background in developing modern cloud-native data platforms for performance and scalability for large data sets / streams

• Experience implementing data integration, data warehouse/lake solutions and data mesh architectures

• Expert knowledge of SQL (preferably in Snowflake) and relational and non-relational technologies/concepts (SQL and NoSQL)

• Working knowledge of programming languages (Python, Shell scripting, Scala/Java a plus)

• Strong background and experience with cloud technologies and services, preferably AWS

• Technical knowledge of software application development and agile methodologies

• Understanding and application of data / digital strategy and governance

• Understanding of change management and release processes

As a healthcare company and a vaccine manufacturer, Sanofi has an important responsibility to protect individual and public health. All US based roles require individuals to be fully vaccinated against COVID-19 as part of your job responsibilities.

According to the CDC, an individual is considered to be “fully vaccinated” fourteen (14) days after receiving (a) the second dose of the Moderna or Pfizer vaccine, or (b) the single dose of the J&J vaccine. Fully vaccinated, for new Sanofi employees, is to be fully vaccinated 14 DAYS PRIOR TO START DATE.

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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At Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all.