Process Monitoring Systems Lead

Job title: Process Monitoring Systems Lead- Process Data Management, ML and AI Platform, MSAT

Location: Belgium

Job type: Permanent

About the job

At Sanofi, we deliver 4.3 billion healthcare solutions to people every year, thanks to the flawless planning and meticulous eye for detail of our Manufacturing & Supply teams including Global MSAT (Manufacturing Sciences, Analytics, and Technology). With your talent and ambition, we can do even more to protect people from infectious diseases and bring hope to patients and their families. As a Process Data Scientist within MSAT Process Data Management, ML and AI platform, you will contribute to the launch of 3 to 5 new products annually across various modalities, enabling us to reach and serve more patients and communities. You will also help us fulfil our ambitions to provide best-in-class data-driven Manufacturing Support, focusing on technical and process aspects, process monitoring, process robustness enhancement, and yield improvement to optimize performance.

Main responsibilities:

Lead coordination, implementation, and configuration of offline and online process monitoring systems in the M&S network (30%)

Provide expert-level support for IIOT data management and data contextualization efforts (30%)

Partner with manufacturing operations, Digital, Smart Factory and other global functions to improve source data systems, designing, and supporting time series data systems and advanced analytics in Sanofi’s new and legacy facilities: to facilitate timely data-driven decision making (20%)

Upskill and train MSAT Global Data Science network in terms of data engineering and data visualization techniques (10%)

Guide and coordinate contractors and co-ops to ensure a sustainable and efficient data and analytics support to ensure business continuity (10%)

About you

Experience:

• - 5+ years of experience working with large scale complicated datasets, cloud computing and cloud data services (e.g. Snowflake, EC2, EMR, RDS, Redshift)
• - Experience in building data contextualization pipelines and mapping business parameters to Data Foundation attributes to provide ready-to-use data for the end users
• - Advanced level of expertise in using Python, Structured Query Language (SQL) for ETL automation
• - Experience in implementing and managing CI/CD pipelines to automate the deployment and testing of data engineering solutions.
• - Experience in performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• - Proficient in designing and developing web-based user interface (UIs) & designedreal-time dashboards on Power BI and similar platforms for better insights and improveddecision making
• - Experience in industrial IoT applications and IIoT gateways from Edge-To-Cloud to allow monitoring and real-time connectivity of manufacturing equipment
• - Knowledge/experience in process automation systems, like PLC, DCS & sensors & embedded devices for machine learning and data analytics
• - Experience in the preventive & predictive maintenance activities for improving reliability in equipment and manufacturing operations

Technical skills:

• - Data analysis and modelling using open-source software libraries, SeeQ, SIMCA, Dataiku and JMP
• - Database design/management tools: AVEVA PI or Aspen InfoPlus 21 historian, MS SQL Server, MySQL, and PostgreSQL
• - Scripting tools: Python, R, and SQL
• - Data visualization: Power BI, Tableau, PI Vision
• - Big Data/cloud platforms: AWS, Snowflake, Azure
• - Other relevant software such as MS office, software for project management and agile activity tracking.
• - Project Management:
• - Lean & Agile practices
• - User experience management
• - Vendor management

Transversal Skills & Competencies (Soft skills):

• - Problem solving and decision making
• - Storytelling and technical writing
• - Building partnerships/stakeholder management
• - Transversal collaboration
• - Strategic thinking
• - Change management

Education:

• - MASc, or BSc. in Process Engineering, Computer Science, Statistics or related field.
• - Formal training and certification or self-learned demonstratable skills as a data engineer

Languages:

Fluent in English & Dutch

Why choose us?

• - Opportunity to make an impact: Every day is presented with challenges to innovate, find compromises and most importantly to make an impact that can help our patients.
• - Learn and grow: Opportunities to work with cutting-edge technologies and be part of groundbreaking projects<