Accelerator Lead Data & AI Engineering (Paris)

*L

• ocation: Paris**H
• ybrid: 2 days off site and 3 days on site*
• 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 Gx

P regulation* Work in transverse with Cloud & Data architects, Product Owners, Scrum Masters, Development teams and External

Partners

• 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
• 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, Gx

P, SOX) and cybersecurity requirements is a plus

• 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
• 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 (Git

Hub a plus)* Experience with vector database and LLM (e,g: Pinecone, AWS bedrock, Snowflake cortex )* Experience with timeseries database and Graph database (e,g: Tiger

DB, 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, Shell

Scripting* Experience with backup system like Netbackup & Comm

Vault* Good knowledge of Service

Now, 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, Io

T data

• Good knowledge of cybersecurity best practices
• Relevant cloud certifications (AWS, Azure, Snowflake, IICS) are a plus
• Familiarity with Visualization Tools (Power

BI, Tableau a plus)

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