Lead Data Architect - Product Supply

Lead Data Architect – Product Supply

The Data Assets, Analytics & AI team at Bayer Consumer Health focuses on bringing digital transformation and innovation by creating best in class analytical solutions enabling data-driven decision making and performance optimization for Bayer Consumer Health organization.

You will be part of the Data Assets, Analytics & AI organization and are responsible to technically guide projects in the area of core data assets and/or commercial analytics projects such as e.g. eCommerce Analytics. You partner with other data architects, business stakeholders, data scientists, analytics leads as well as implementation partners/vendors to build our core data assets and/or analytical products. You ensure a proper data management, data ingestion and data pipeline orchestration and that a scalable and well performing analytical product is build. If you are interested in joining a young and dynamic team driving the digital transformation of Bayer Consumer Health, we would like to hear from you.

• Bachelor/Master degree in Computer Science, Engineering, or similar subject
• 8+ years' working experience in a data related area, 5+ years in the field of Data & Analytics, preferably in the area of Product Supply & CPG industry
• Excellent data architecture & technology knowledge, data engineering & data management skills (e.g. data quality).
• Excellent Technology knowhow in Azure Databricks, ADF, Azure Container Services, AzureML, Azure Foundry. Programming languages like SQL, experience in various databases (SQL/NoSQL), PySpark (DataFrame API, Spark SQL, MLlib), key libraries (e.g., pandas, SQLAlchemy), parallel processing, and advanced data transformation and performance optimization techniques), and BI/reporting solutions like PowerBi/Tableau. Knowhow in application development frameworks (e.g. Django, Flask, FastAPI) and JavaScript UI Frameworks (React.js, Next.js) is a plus.
• Profound business and data content knowledge of respective business domain product supply (product data, formulations, quality data, Orders, procurement data and finance data such as COGS)
• Experience in steering implementation teams consisting of internal engineers and engineers from external vendors on a technical and organizational level.
• Problem solving and analytical skills, combined with impeccable business judgement.
• Interpersonal and communication skills, active listening, consulting, challenging, presentation skills, fluent in English (written & spoken), intercultural awareness Master degree in computer science, engineering or a comparable subject
• Intercultural awareness (Europe, US, India) and willingness to travel occasionally