Lead Data Architect - Marketing & Sales

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Job Description | | || - | - | - | - || 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…