Sr Data Governance Architect

As a Senior DataGovernanceArchitect you will developandmaintaindata architecture across multiple data types for the organization to enable knowledge worker productivity improve customer experience and business decision making withaccuratetimely and consistent this role you will work with architects innovation managers digital leads data engineers and datascientistsand many other profiles as well as external service providers to ensure that new capabilitiescomply withthe information will alsobe responsible forbalancing the need for access against security scalabilityand performance requirements.

YOUR TASKS AND RESPONSIBILITIES

The primary responsibilities of this role are to:

• Design and implement regional data governance lineage and quality assurance frameworks to ensureaccurate reliable and compliant product supply data pipelines.

• • Design and drive implementation of end-to-end data governance strategies validation frameworks and data quality tracking systems across supply chain operations

• • Assistin the technical execution of enforcing data standards lineage documentation and relational integrity policies across warehousing and visualization assets

• • Implement andmaintainQA processes across data pipelines to ensure accuracy completeness and reliability of production data

• Contribute to scalable data architecture and buildhighqualitydatasets and reporting solutions that meetcrossfunctionalengineering and business needs.

• • Contribute to the design and development of data systems and architecture across a range of organizational initiatives informing how data infrastructure is structured and scaled

• • Build and deploy datasets tailored to user requirements for visualization and reporting across multiple platforms with strong emphasis on quality and relational integrity

• • Designs and governs data foundations that enable responsibleethicaland scalable use of artificialintelligence(AI) including generative and advanced analytics use cases.

• • Drive the development of reporting solutions and collaborate with engineers and stakeholders to define data reporting needs gather requirements and investigate gaps in existing solutions

• Architect and support deployment and environment foundations to ensure consistentproductionreadydata platforms.

• • Build andmaintaina solid deployment infrastructure supporting the teams development and release workflows

• • Support CI/CD processes deployment pipelines and environment management across development and production systems

• Translate complex data concepts into clear communication while partneringcrossfunctionallytoidentifydata optimization opportunities that improve operational efficiency and value.

• • Communicate architecture standards for data quality and data governance.

• • Communicate complex data concepts and project status clearly to both technical and non-technical audiences

• • Work cross-functionally toidentifydata optimization opportunities that improve workflow efficiency and deliver value to operations across the region

WHO YOU ARE

Bayer seeks an incumbent whopossessesthe following:

Required:

• MinimumBachelors Degree in Engineering Computer Science InformationSystemsor related field and relevant professional experience

• Background in supply chainmanufacturingor industrial operation in highly secure data environment

• Specific knowledge of Google Big Query Data Historian and Denodo/Data Virtualization

• QA experience within software or data development contexts

• Data architecture using SQL Python R SAS or other common languages

• Strongexpertisein data governance including policy enforcement data quality standards validation rules lineage documentation and relational data modeling across complexmultisourceenvironments.

• Handsonexperience with ETL/ELT pipelines and deployment processes supporting scalablewellmanageddata infrastructure across environments.

• Demonstrated strong oral and written communication persuasiveness and ability to communicate complex analytical approaches to all levels of business

• Demonstrated innovative solutions and self-lead discoveries ofnew technologies

• History of meeting tight deadlines and providingaccurateestimates of timerequiredto complete complex tasks

Preferred:

• 10 years of experience with 3-5 years experience in data engineering data architecture or data governance

Employees can expect to be paid a salary ofapproximately $124k-180k. Additional compensation may include a bonus or incentive program (ifrelevant).Additionalbenefits include health care vision dental retirement PTO sick leaveetc.. This salary (or salary range) is merely an estimate and may vary based on an applicants location market data/ranges an applicants skills andpriorrelevant experience certain degrees and certifications and other relevant factors.