Accelerator Lead Data

About the job

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?

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

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