Digital Data Engineer Manager
Company: Sanofi
Location: Morristown
Posted on: March 13, 2026
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Job Description:
Job title: Digital Data Engineer Manager Location: Morristown,
NJ About the Job Join the digital engine driving Sanofis
transformation - where AI, automation, and bold experimentation
power faster science and smarter decisions. Here, youll 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 Engineer interested in challenging
the status quo to ensure the seamless creation and operation of the
data pipelines that are needed by Sanofis 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 Sanofis 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 companys 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 Bachelors 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 its 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.
GD-SA LI-SA LI-Onsite vhd 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.
Keywords: Sanofi, Toms River , Digital Data Engineer Manager, IT / Software / Systems , Morristown, New Jersey
