Lead Data Architect - Marketing & Sales

At Bayer, we are committed to transparency, equal pay for equal work or work of equal value, and objective reward practices in line with EU and local regulations.

The minimum monthly gross compensation for this role is 25 760 PLN gross with final pay determined based on objective factors such as experience, qualifications, scope of responsibility, and internal alignment.

This position is eligible for variable pay components, such as performance‑based bonuses, awarded in accordance with the applicable employee group, role scope, and compensation structure.

 

In addition, Bayer offers a competitive and holistic benefits package, including:

 

- Medical care above statutory requirements

- Flexible benefits supporting leisure, and well‑being/sports programs

- Life, accident, and disability insurance through group coverage

- Employer‑supported pension plans with regular company contributions

- Home office allowance to support hybrid or remote work

- Extra Paid Holidays

 

Benefits may vary depending on country, role, and employment conditions.

 

 

For Digital Hub Warsaw, we are looking for:

Lead Data Architect - Marketing & Sales

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.

 

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.

 

 

YOUR TASKS AND RESPONSIBILITIES

• Lead technical implementation analytic projects in the area of Consumer (e.g. Consumer Activation, eCommerce etc.) and /or Customer (CRM, Retailer business). Ensure providers or internal developer teams follow our best practices and design principles as a solid foundation to deliver fit-for purpose & scalable data products for analytics use cases.
• Design, lead and manage the integration of different data sources (e.g. macroeconomics data, consumer insights, Social media listening & unstructured data assets as well as sell-out, CRM and financial data etc.) and the design of reusable data models and/or marts in order to meet the business requirements
• Contribute to creation of data management and steer implementation of proper data management processes & solutions leveraging best practices and joint methodologies to be developed with core data asset architects (e.g. event-based data management).
• Initiate and prepare Architecture Change Advisory Boards and collaborate with other data architects, business functions, analytics leads, data science teams and platform architects in order to reuse data and ensure sustainable pipelines and analytical products are built.
• Collaborate with business functions (global & regional business stakeholders) and other IT teams (core data asset architects, analytics teams, data science teams, platform product managers & integration architects) to ensure delivery in line with value, business priorities and IT objectives.
• As a technical lead, steer external providers and internal implementation teams, guide them as architect and lead engineer, provide cost and time estimations, challenge vendor costs and assure quality delivery of vendor implementations & proper handover to support.

• Contribute to the enrichment of our key cloud-based data & analytics technology stacks according to the needs of the analytics products in your area of responsibility

 

WHO YOU ARE

• 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 Commercial/Marketing, e.g. eCommerce, CPG/FMCG 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 and architecture for AI applications (RAG, Langraph, Langchain etc.), nice to have: AzureML & Snowflake. Programming languages like SQL, Python, R and BI/reporting solutions like PowerBi/Tableau.
• Profound business and data content knowledge of respective business domain: consumer - & commercial (consumer activation, ecommerce, sell-out and pos data, sell-in data) and M&S process knowhow
• Experience in steering implementation teams from external vendors or internal engineers 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 (Europe, US, India) and willingness to travel occasionally

 

 

 

Location:

Poland : Mazowieckie : Warszawa  

Division:

CH DAA&AI

Reference Code:

878481