Accelerator Lead Data & AI Engineering (Paris)

Posted 14 Days Ago
Be an Early Applicant
Paris, Île-de-France, FRA
In-Office
76K-101K Annually
Senior level
Healthtech
The Role
Lead and grow a Data & AI engineering team to design, build, operate, and optimize production data pipelines, models and platforms (AWS/Snowflake). Ensure compliance (GxP, privacy), cost optimization, automation, cross-team collaboration, and mentorship while working in an Agile product environment.
Summary Generated by Built In

Le contenu du poste est libellé en anglais car il nécessite de nombreuses interactions avec nos filiales à l’international, l'anglais étant la langue de travail. 

 

This job offer is accessible to all, regardless of gender. 

Job title: Lead Data & AI Engineering

  • Location: Paris

  • Hybrid: 2 days off site and 3 days on site

 

About the job 

 

At Sanofi, we’re committed to providing the next-gen healthcare that patients and customers need. It’s about harnessing data insights and leveraging AI responsibly to search deeper and solve sooner than ever before. Join our digital accelerator commercial team as Lead Data Engineer and you can help make it happen. Your job?

 

About Growing with us 

In this role you will:

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

  • Support operations with the appropriate mindset-oriented Operation Excellence

  • Enforce compliance requirements of the solution in regards of GxP regulation

  • Work in transverse with Cloud & Data architects, Product Owners, Scrum Masters, Development teams and ExternalPartners

  • Work with product owner to build the vision and challengesolutions

  • Design & develop optimized modules meeting reliability, reusability, latency & performance & requirements

  • Support the Data modules engineers for designing optimized data models

  • Define support models and be responsible for build and run activities

  • Build, lead, manage and articulate a team of data and AI enginners

  • Continuous support to help team members throughout their personal and professional developments

  • Adapt the modules to optimize the running costs

  • Participate to the community of practice and act as a leader in the community

  • Mentor the juniors and senior practitioners 

 

About you

You are a dynamic experienced Data Engineer lead interested in challenging the status quo to ensure the seamless creation and operation of the data pipelines that are needed for the enterprise data and analytics initiatives following industry standard practices and tools for the betterment of our global patients and customers. 

 

You are a valued influencer and leader 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 data quality, security, and governance standards. 

 

Experience:

  • 8 to 10 years experience

  • Experience developing deployable code and deploying data pipelines and data models in product-focused development under an agile environment

  • Strong experience in production-ready software development

  • Excellent management and articulation of a team of Data and AI Engineers

  • Continuous support to help team members throughout their personal and professional development

  • Experience in a healthcare company is a strong plus

  • Experience on working within compliance (e.g.: quality, regulatory - data privacy, GxP, SOX) and cybersecurity requirements is a plus 

Soft skills: 

  • Excellent written and verbal communication skills

  • Experience working with multiple teams to drive alignment and results

  • Service-oriented, flexible, positive team player

  • Self-motivated, takes initiative

  • Problem solving & critical thinking 

 

Technical skills: 

  • Experience with AWS cloud services (Azure is a plus)

  • Strong knowledge of SQL and relational databases technologies/concepts

  • Experience working with data models and query tuning

  • Experience in Data warehousing solutions (Snowflake)

  • Experience in Integration Services (IICS, Tibco a plus)

  • Working knowledge of scripting languages (Python, R a plus)

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

  • Experience with vector database and LLM (e,g: Pinecone, AWS bedrock, Snowflake cortex )

  • Experience with timeseries database and Graph database (e,g: TigerDB, Neo4J)

  • Experience using orchestration to create pipelines (e.g. Apache Airflow)

  • Experience with Product Management Tools (JIRA, Confluence a plus)

  • Familiarity with Service Management Tools (Service Now a plus)

  • Strong experience in automation tools and methodologies specifically using Github action, Terraform, Ansible

  • Experience with programming languages such as JSON, YAML, ShellScripting

  • Experience with backup system like Netbackup & CommVault

  • Good knowledge of ServiceNow, monitoring tool such as Splunk, Datadog, BPPM and experience in finops pratice

  • Experience with a wide variety of data sources, such as structured and unstructured data, IoT data

  • Good knowledge of cybersecurity best practices

  • Relevant cloud certifications (AWS, Azure, Snowflake, IICS) are a plus

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

Education:

  • Bachelor’s Degree or equivalent in Computer Science, Engineering, or relevant field

Languages:

  • English, French 

Why choose us? 

 

We provide a highly open and collaborative environment, with an opportunity to work with a world class team. You will be able to : 

  • Learn what it takes to make a service with a truly global reach

  • Be part of an organization that values diversity, inclusion, and the richness of different backgrounds and experiences

  • Engage in meaningful work that combines the challenges of pharma, manufacturing, environmental matters and technical fields, offering abundant opportunities for professional growth and impact

  • Contribute to a company that is not only a leader in healthcare but also a pioneer in digital transformation, shaping the future of global health

Pursue Progress. Discover Extraordinary

Progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s discover extraordinary together. 

 

At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.
 

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com

#Accelerator #Paris #Sanofi #Hybrid #Digital #AI

Pursue progress, discover extraordinary

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

The salary range for this position is :€76,000.00 - €101,333

Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors. Employees may be eligible to participate in Company employee benefit programs.

Skills Required

  • 8 to 10 years of relevant experience
  • Experience developing deployable code and deploying data pipelines and data models in an Agile, product-focused environment
  • Production-ready software development experience
  • Proven experience leading and managing a team of Data and AI Engineers
  • Experience within compliance frameworks (GxP, data privacy, SOX) and cybersecurity requirements
  • Experience with AWS cloud services
  • Working knowledge of Azure
  • Strong knowledge of SQL and relational database concepts
  • Experience with data modeling and query tuning
  • Experience with data warehousing solutions (Snowflake)
  • Experience with Integration Services (IICS)
  • Experience with Tibco integration tools
  • Working knowledge of scripting languages, primarily Python
  • Working knowledge of R
  • Experience with source code management; familiarity with GitHub
  • Experience with vector databases and LLM platforms (e.g., Pinecone, AWS Bedrock, Snowflake Cortex)
  • Experience with time-series and graph databases (e.g., TigerDB, Neo4J)
  • Experience using orchestration tools to build pipelines (e.g., Apache Airflow)
  • Experience with product management tools (JIRA) and familiarity with Confluence
  • Familiarity with ServiceNow
  • Strong experience in automation using GitHub Actions, Terraform, and Ansible
  • Experience with configuration/data formats: JSON, YAML, Shell scripting
  • Experience with backup systems such as NetBackup and CommVault
  • Knowledge of monitoring tools (Splunk, Datadog) and BPPM; experience with FinOps practices
  • Good knowledge of cybersecurity best practices
  • Relevant cloud or platform certifications (AWS, Azure, Snowflake, IICS)
  • Familiarity with visualization tools (PowerBI, Tableau)
  • Bachelor's degree or equivalent in Computer Science, Engineering, or related field
  • Fluency in English and French
  • Strong communication, cross-team alignment, service orientation, initiative, problem solving and critical thinking skills

Sanofi Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sanofi and has not been reviewed or approved by Sanofi.

  • Retirement Support Retirement support stands out through a notably strong 401K matching structure (e.g., 150% match up to a 6% contribution), which materially boosts total rewards for long-tenured employees.
  • Parental & Family Support Parental and family support is positioned as unusually robust, including a global gender-neutral paid parental leave standard (14 weeks) and added supports such as childcare assistance and adoption/surrogacy/infertility help.
  • Equity Value & Accessibility Equity participation is made more accessible via an Employee Stock Purchase Plan that includes a meaningful purchase discount and matching/free-share mechanics, increasing perceived total compensation beyond base pay.

Sanofi Insights

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The Company
HQ: Paris
85,000 Employees
Year Founded: 1973

What We Do

We are Sanofi, an innovative global healthcare company. 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. Interactions with this account must comply with the Terms: https://bit.ly/sanofi-terms

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