Bayer (Schweiz) AG
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 Steward
We are looking for a Lead Data Steward! As lead data steward, you will be a part of Bayer's Pharma Data & AI Team. You will contribute to shaping the future of data management and governance within our organization. Your expertise will be pivotal in ensuring the integrity and effectiveness of our commercial data products, working with the data product owners to execute data management standards throughout the development and operations lifecycle. This role involves technical skills, as well as a deep understanding of data quality and governance. Alongside with hands‑on technical data steward work, you will have additional focus on defining the stewardship processes and building the stewardship best practice and discipline within product teams.
YOUR TASKS AND RESPONSIBILITIES:
Collaborate closely with data product teams and the DevOps chapter to define and document stewardship-related processes and practices, including data quality monitoring, operational support, and cataloguing. Develop and continuously improve best practices and guidelines for data stewardship within product teams.
Ensure adherence to data governance policies and compliance requirements across data product teams.
Provide detailed requirements for essential tooling such as observability and quality monitoring solutions, and access management systems to technical and architecture teams.
Mentor and support technical data stewards to ensure the effective execution of their responsibilities, maintaining high standards of quality and adherence to established processes.
Develop and maintain a comprehensive Business Glossary within the Data Catalog.
For your assigned data product(s) you will:
Design, develop, and maintain automated testing and data quality frameworks based on product requirements, i.e. by:
authoring test plans and scripts
implementing checks using e.g. dbt, Great Expectations, PyTest
performing regression/performance/UAT, and documenting defects in bug tracking tools
participating in code reviews to uphold testing and data management standards and advising on best practices.
Operationalize data quality in delivery pipelines by:
embedding quality gates in CI/CD and orchestration tools
collaborating with engineering to implement schema validation, contract testing, and change management for batch and streaming interfaces
managing quality metrics and thresholds
maintaining incident runbooks
partnering with DevOps teams to quickly resolve data quality issues
Monitor and report on data product and pipeline health by:
using observability tools (e.g., Dagster) to detect and address issues
publishing quality dashboards and trend reports on data usage and data quality
Define, steward, and maintain business and technical metadata aligned with the data catalog, glossary, and ownership model; contribute to logical and physical data models and update the catalog with lineage, asset relationships, and product certification status.
Oversee data classification and PII tagging in compliance with data privacy regulations, in partnership with security and compliance teams.
WHO YOU ARE:
Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field
5+ years of experience in Data Stewardship, Quality Engineering, Data Management, or Data Governance roles, ideally within pharmaceutical or regulated industries, with demonstrated expertise in establishing data stewardship practices—spanning data quality monitoring, cataloging, and documentation across diverse environments.
Good understanding of data classification, PII tagging, and compliance with pharma‑specific data privacy regulations, leveraging e.g. Collibra, Snowflake and AWS security features for implementation.
Expert in understanding data quality frameworks and governance models, including defining, monitoring, and enforcing standards using test frameworks like dbt, pyTest, and Great Expectations
Experience building and maintaining business glossaries, metadata documentation, and asset relationships within enterprise data catalogs (e.g., Collibra), with basic knowledge of developing and maintaining logical and physical data models using industry‑standard modelling tools and updating the Data Catalog accordingly.
Proficient in cloud data management solutions, SQL, Python, and automation for data validation and operational support, supported by solid analytical skills for identifying patterns and actionable insights in complex data sets.
Proficient with observability tools and orchestration platforms (e.g., Dagster, Airflow) for monitoring pipeline and product health and troubleshooting issues
Experience collaborating with DevOps and engineering teams to specify requirements for data management tooling and access controls.
Strong interpersonal skills and ability to work collaboratively in a team environment.
Ability to mentor and coach data stewards, fostering best practices and high‑quality execution.
Good stakeholder management and communication skills, with the ability to translate business needs into technical requirements and drive process improvements, while being capable of conveying technical concepts to non‑technical audiences.
Strong problem‑solving skills and attention to detail.
Familiarity with Agile/Scrum methodologies.
Strong adaptability and willingness to quickly learn and adopt new technologies and approaches in a dynamic, evolving data platform and business environment.
You feel you do not meet all criteria we are looking for? That doesn’t mean you aren’t the right fit for the role. Apply with confidence, we value potential over perfection!
WHAT DO WE OFFER:
A flexible, hybrid work model
Great workplace in a new modern office in Warsaw
Career development, 360° Feedback & Mentoring programme
Wide access to professional development tools, trainings, & conferences
Company Bonus & Reward Structure
Company car or car allowance
Increased tax‑deductible costs for authors of copyrighted works
VIP Medical Care Package (including Dental & Mental health)
Holiday allowance (“Wczasy pod gruszą”)
Life & Travel Insurance
Pension plan
Co‑financed sport card - FitProfit
Meals Subsidy in Office
Budget for Home Office Setup &Maintenance
Access to Company Game Room equipped with table tennis, soccer table, Sony PlayStation 5 and Xbox Series X consoles setup with premium game passes, and massage chairs
Tailored‑made support in relocation to Warsaw when needed
Please send your CV in English WORK LOCATION: WARSAW AL. JEROZOLIMSKIE 158 Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.
Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.
Bayer offers the possibility of working in a hybrid model. We know how important work‑life balance is, so our employees can work from home, from the office or combine both work environments. The possibilities of using the hybrid model are each time discussed with the manager. Bayer respects and applies the Whistleblower Act in Poland.
Location:
Poland : Mazowieckie : Warszawa
Division:
Pharma IT
Reference Code:
856470
#J-18808-Ljbffr
Lead Data Steward
We are looking for a Lead Data Steward! As lead data steward, you will be a part of Bayer's Pharma Data & AI Team. You will contribute to shaping the future of data management and governance within our organization. Your expertise will be pivotal in ensuring the integrity and effectiveness of our commercial data products, working with the data product owners to execute data management standards throughout the development and operations lifecycle. This role involves technical skills, as well as a deep understanding of data quality and governance. Alongside with hands‑on technical data steward work, you will have additional focus on defining the stewardship processes and building the stewardship best practice and discipline within product teams.
YOUR TASKS AND RESPONSIBILITIES:
Collaborate closely with data product teams and the DevOps chapter to define and document stewardship-related processes and practices, including data quality monitoring, operational support, and cataloguing. Develop and continuously improve best practices and guidelines for data stewardship within product teams.
Ensure adherence to data governance policies and compliance requirements across data product teams.
Provide detailed requirements for essential tooling such as observability and quality monitoring solutions, and access management systems to technical and architecture teams.
Mentor and support technical data stewards to ensure the effective execution of their responsibilities, maintaining high standards of quality and adherence to established processes.
Develop and maintain a comprehensive Business Glossary within the Data Catalog.
For your assigned data product(s) you will:
Design, develop, and maintain automated testing and data quality frameworks based on product requirements, i.e. by:
authoring test plans and scripts
implementing checks using e.g. dbt, Great Expectations, PyTest
performing regression/performance/UAT, and documenting defects in bug tracking tools
participating in code reviews to uphold testing and data management standards and advising on best practices.
Operationalize data quality in delivery pipelines by:
embedding quality gates in CI/CD and orchestration tools
collaborating with engineering to implement schema validation, contract testing, and change management for batch and streaming interfaces
managing quality metrics and thresholds
maintaining incident runbooks
partnering with DevOps teams to quickly resolve data quality issues
Monitor and report on data product and pipeline health by:
using observability tools (e.g., Dagster) to detect and address issues
publishing quality dashboards and trend reports on data usage and data quality
Define, steward, and maintain business and technical metadata aligned with the data catalog, glossary, and ownership model; contribute to logical and physical data models and update the catalog with lineage, asset relationships, and product certification status.
Oversee data classification and PII tagging in compliance with data privacy regulations, in partnership with security and compliance teams.
WHO YOU ARE:
Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field
5+ years of experience in Data Stewardship, Quality Engineering, Data Management, or Data Governance roles, ideally within pharmaceutical or regulated industries, with demonstrated expertise in establishing data stewardship practices—spanning data quality monitoring, cataloging, and documentation across diverse environments.
Good understanding of data classification, PII tagging, and compliance with pharma‑specific data privacy regulations, leveraging e.g. Collibra, Snowflake and AWS security features for implementation.
Expert in understanding data quality frameworks and governance models, including defining, monitoring, and enforcing standards using test frameworks like dbt, pyTest, and Great Expectations
Experience building and maintaining business glossaries, metadata documentation, and asset relationships within enterprise data catalogs (e.g., Collibra), with basic knowledge of developing and maintaining logical and physical data models using industry‑standard modelling tools and updating the Data Catalog accordingly.
Proficient in cloud data management solutions, SQL, Python, and automation for data validation and operational support, supported by solid analytical skills for identifying patterns and actionable insights in complex data sets.
Proficient with observability tools and orchestration platforms (e.g., Dagster, Airflow) for monitoring pipeline and product health and troubleshooting issues
Experience collaborating with DevOps and engineering teams to specify requirements for data management tooling and access controls.
Strong interpersonal skills and ability to work collaboratively in a team environment.
Ability to mentor and coach data stewards, fostering best practices and high‑quality execution.
Good stakeholder management and communication skills, with the ability to translate business needs into technical requirements and drive process improvements, while being capable of conveying technical concepts to non‑technical audiences.
Strong problem‑solving skills and attention to detail.
Familiarity with Agile/Scrum methodologies.
Strong adaptability and willingness to quickly learn and adopt new technologies and approaches in a dynamic, evolving data platform and business environment.
You feel you do not meet all criteria we are looking for? That doesn’t mean you aren’t the right fit for the role. Apply with confidence, we value potential over perfection!
WHAT DO WE OFFER:
A flexible, hybrid work model
Great workplace in a new modern office in Warsaw
Career development, 360° Feedback & Mentoring programme
Wide access to professional development tools, trainings, & conferences
Company Bonus & Reward Structure
Company car or car allowance
Increased tax‑deductible costs for authors of copyrighted works
VIP Medical Care Package (including Dental & Mental health)
Holiday allowance (“Wczasy pod gruszą”)
Life & Travel Insurance
Pension plan
Co‑financed sport card - FitProfit
Meals Subsidy in Office
Budget for Home Office Setup &Maintenance
Access to Company Game Room equipped with table tennis, soccer table, Sony PlayStation 5 and Xbox Series X consoles setup with premium game passes, and massage chairs
Tailored‑made support in relocation to Warsaw when needed
Please send your CV in English WORK LOCATION: WARSAW AL. JEROZOLIMSKIE 158 Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.
Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.
Bayer offers the possibility of working in a hybrid model. We know how important work‑life balance is, so our employees can work from home, from the office or combine both work environments. The possibilities of using the hybrid model are each time discussed with the manager. Bayer respects and applies the Whistleblower Act in Poland.
Location:
Poland : Mazowieckie : Warszawa
Division:
Pharma IT
Reference Code:
856470
#J-18808-Ljbffr