Lead Data Architect - Product Supply

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

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