Digital Data Engineer Manager

Job title:  Digital Data Engineer Manager 

Location: Morristown, NJ

About the Job

Join the digital engine driving Sanofi’s transformation - where AI, automation, and bold experimentation power faster science and smarter decisions. Here, you’ll help build the first biopharma company powered by AI at scale.

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 a dynamic Data Engineerinterested in challenging the status quo to ensure the seamless creation and operation of the data pipelines that are needed by Sanofi’s advanced analytic, AI and ML initiatives for the betterment of our global patients and customers. You operate as an architect, leader and mentor, directing a team of fellow Data Engineers into high performance and career growth. You are a valued influencer and thinker who has contributed to making key datasets available to data scientists, analysts, and consumers throughout the enterprise to meet vital business use needs. You have a keen eye for improvement opportunities while continuing to fully comply with all architecture, quality, security, and governance standards.

Our vision for digital, data analytics and AI

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 building products that will be deployed globally on a leading-edge tech stack.

• World Class Mentorship and Training: Working with renowned leaders, academics and vendors in data, analytics and AI to further develop your skillsets

Main Responsibilities:

• Lead, supervise, prioritize and direct a team of Data Engineers on design, implementation and sustainment of data pipelines

• Provide architectural oversight on the construction of data pipelines with enterprise standards and implications in mind, including testing, logging, monitoring and orchestration

• Work with business teams to understand requirements, and translate them into technical needs

• Gather/organize large & complex data assets, perform relevant analysis, explore ways to automate as much as possible

• Ensure the quality of code and data in coordination with Data Analyst and Data Scientist, Architecture and Data Governance representatives

• Propose and implement relevant data models for each business case  

• Create data models and optimize queries performance   

• Communicate results and findings in a structured way  

• Partner with Product Owner and Data Analysts to prioritize the pipeline implementation plan  

• Partner with Data Analysts and Data scientists to design pipelines relevant for business requirements  

• Leverage existing or create new “standard data pipelines” within Sanofi to bring value through business use cases  

• Ensure best practices in data manipulation are enforced end-to-end  

• Actively contribute to Data governance community  

• Remains up to date on the company’s standards, industry practices and emerging technologies 

About You

Key Functional Requirements & Qualifications:

• 3+ years of experience in data engineering, integration, data warehousing, BI, or business analytics, with demonstrated experience leading and guiding team members.

• Experience working with a variety of cross-functional teams 

• Good understanding of agile/scrum development processes and concepts

• Pragmatic and capable of solving complex issues  

• Service-oriented, flexible team player 

• Attention to detail & technical intuition 

• Excellent written, verbal, and interpersonal skills for executive level communication and collaboration

Key Technical Requirements & Qualifications:

• Associate degree or Bachelor’s degree in Computer Science, Engineering, or a related discipline.

• Experience in data integration, ETL & ELT, job flows using 4GL tools (Informatica/IICS or DBT)

• Good knowledge of SQL and relational databases technologies/concepts

• Working knowledge of scripting languages (Python, Shell scripting, R)

Nice to haves:

• Experience working in life sciences/pharmaceutical industry is a plus

• Experience with job scheduling and orchestration (Control-M or Airflow)

• Experience with automated testing and CI/CD

• Experience with AWS cloud services

• Experience working with data models and query tuning

• Experience in cloud-based data platform solutions (Snowflake)

• Familiarity with data ingestion through batch, near real-time, and streaming environments

• Familiarity with data warehouse concepts and architectures (data mesh a plus)

• Familiarity with Source Code Management Tools (GitHub a plus)

• Familiarity with Visualization Tools (PowerBI, Tableau a plus)

• Familiarity with Project Management Tools (JIRA, Confluence a plus)

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.