Lead Data Architect - Marketing & Sales

The Data Assets, Analytics & AI team at Bayer Consumer Health drives digital transformation and innovation by creating analytical solutions for data-driven decision making and performance optimization. The role belongs to the Data Assets, Analytics & AI organization, focusing on core data assets and commercial analytics projects such as eCommerce Analytics within Bayer Consumer Health.

• Bachelor/Master degree in Computer Science, Engineering, or similar.
• Over 8 years working experience in data-related areas, 5+ years in Data & Analytics, preferably in Commercial/Marketing (e.g. eCommerce, CPG/FMCG).
• Excellent knowledge of data architecture, data engineering and data management including data quality.
• Proficient in Azure technologies including Azure Databricks, Azure Data Factory, Azure Container Services, and architecture for AI applications (RAG, Langraph, Langchain).
• Nice to have experience with AzureML and Snowflake.
• Proficient in programming languages such as SQL, Python, R.
• Experienced with BI/reporting solutions like PowerBi, Tableau.
• Profound business and data content knowledge in consumer and commercial business domains including consumer activation, ecommerce, sell-out, POS data, sell-in data, and Marketing & Sales process.
• Experience steering implementation teams from external vendors or internal engineers on technical and organizational levels.
• Strong problem solving and analytical skills with sound business judgement.
• Excellent interpersonal, communication, active listening, consulting, challenging and presentation skills.
• Fluent in English (written & spoken).
• Intercultural awareness (Europe, US, India) and willingness to travel occasionally.

• Lead technical implementation analytic projects in the areas of Consumer (e.g. Consumer Activation, eCommerce) and/or Customer (CRM, Retailer business).
• Ensure providers or internal developer teams follow best practices and design principles to deliver scalable data products for analytics.
• Design, lead and manage integration of different data sources (e.g. macroeconomics data, consumer insights, social media listening, unstructured data, sell-out, CRM, financial data).
• Design reusable data models and/or marts to meet business requirements.
• Contribute to creation and implementation of data management processes leveraging best practices with core data asset architects.
• Initiate and prepare Architecture Change Advisory Boards and collaborate with architects, business functions, analytics leads, data science teams, and platform architects.
• Collaborate with global and regional business stakeholders and IT teams to ensure delivery aligned with business priorities and IT objectives.
• As technical lead, steer external providers and internal implementation teams, provide cost and time estimations, challenge vendor costs, assure quality delivery and handover to support.
• Contribute to enrichment of cloud-based data and analytics technology stacks according to analytics product needs.