Sr Staff Data Steward

Bayer•St. Louis, MO

About The Position

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. Sr Staff Data Steward YOUR TASKS AND RESPONSIBILITIES The primary responsibilities of this role, Senior Staff Data Steward are to: Deliver high quality data required for successful implementation of program objectives and organizational strategies. Identify data quality needs and implement solutions, through data analysis focusing on preventing quality issues, minimizing manual intervention and aiding automation efforts. Data analysis will ensure data is structured properly, follows governance guidelines and enforces security policies. Ensure availability, accuracy, reliability and quality of data through applied domain knowledge of workflows, data platforms, and stakeholder engagement. Provide leadership to design sessions with Stewards, Data Engineers, Engineering teams, Data Scientists, Product Managers, business and/or IT stakeholders, that result in design documentation and business metadata capture; Partnering with Capability Owners, GPOs, Regional Leads, Product Managers, Product Owners, and other Business & IT stakeholders to gain and document comprehensive insights into business capability needs and processes; Define use cases supporting business objectives and strategies and ensure data products and roadmaps are aligned to deliver the necessary response; Make and influence decisions across other functional workstreams, global process owners for implementation of robust data assets within the relevant resource family; Implement and utilize data solutions for profiling, data analysis, modeling, validation, cataloguing, quality assurance using a variety of tools such as Postman, R, Collibra, Python, etc., and follow industry best practice; Design, evangelize, and lead frameworks and objectives for: Governance, Adhering to External and Internal Compliance Needs, Metadata Management, Data Quality, and Data Management Best Practices; Lead targeted Data efforts, making data FAIR (Findable, Accessible, Interoperable and Reusable) to strengthen Bayer CS effectiveness in carrying out its mission; Lead multi-functional and multi-business stewardship network in which to evangelize these frameworks and objectives - Governance, Data Quality, Data Wrangling, and Best Practices; Define the strategy, vision, roadmap for the relevant resource family. • Set strategy and drive implementation of automated data quality monitoring based on engagement with business stakeholders and technical partners; Understanding, assisting and troubleshooting access management, ensuring retention, auditing standards, best practices and data governance policies and procedures are applied consistently and accurately; Define strategy and identify dependencies to support data migration from legacy systems to the target data landscape; Additional responsibilities for special assignments: Lead a matrixed team of IT and business data professionals to define a globally aligned target state, clearly communicate the roadmap to implement, securing the funding/imvestment needed and lead the execution to achieve it(across-functional expertise). WHO YOU ARE Bayer seeks an incumbent who possesses the following:

Requirements

Bachelor’s or Advanced Degree in Computer Science, Biological Science, Business Administration, Finance, Data Science, Database Administration or equivalent
Manipulating data using scripting languages and/or data processing software (e.g., Python, R, ETL applications)
Mastery of business domain
Expert in one or more related domains
Querying SQL and/or NoSQL databases
Mastery of related source systems architecture & design
Experience with data process, internal applications, & scripting tools. AWS, REST, GraphQL, gRPC, KAFKA, Python
Profiling, summarizing, & reporting data quality metrics
Deliver detailed technical documentation
Align programs/deliverables across organizations
Applied experience with agile development continuous deployment, DevOps, & decision science (e.g., AI, ML, etc.)
Knowledge of modern data principles • Creation of strategic technical solutions and documentation to challenging business problems
Mentoring and guiding activities of junior team members and influencing across teams.

Nice To Haves

12+ years relevant experience/10yrs Master/6yrs PHD.

Responsibilities

Deliver high quality data required for successful implementation of program objectives and organizational strategies.
Identify data quality needs and implement solutions, through data analysis focusing on preventing quality issues, minimizing manual intervention and aiding automation efforts.
Data analysis will ensure data is structured properly, follows governance guidelines and enforces security policies.
Ensure availability, accuracy, reliability and quality of data through applied domain knowledge of workflows, data platforms, and stakeholder engagement.
Provide leadership to design sessions with Stewards, Data Engineers, Engineering teams, Data Scientists, Product Managers, business and/or IT stakeholders, that result in design documentation and business metadata capture
Partnering with Capability Owners, GPOs, Regional Leads, Product Managers, Product Owners, and other Business & IT stakeholders to gain and document comprehensive insights into business capability needs and processes
Define use cases supporting business objectives and strategies and ensure data products and roadmaps are aligned to deliver the necessary response
Make and influence decisions across other functional workstreams, global process owners for implementation of robust data assets within the relevant resource family
Implement and utilize data solutions for profiling, data analysis, modeling, validation, cataloguing, quality assurance using a variety of tools such as Postman, R, Collibra, Python, etc., and follow industry best practice
Design, evangelize, and lead frameworks and objectives for: Governance, Adhering to External and Internal Compliance Needs, Metadata Management, Data Quality, and Data Management Best Practices
Lead targeted Data efforts, making data FAIR (Findable, Accessible, Interoperable and Reusable) to strengthen Bayer CS effectiveness in carrying out its mission
Lead multi-functional and multi-business stewardship network in which to evangelize these frameworks and objectives - Governance, Data Quality, Data Wrangling, and Best Practices
Define the strategy, vision, roadmap for the relevant resource family.
Set strategy and drive implementation of automated data quality monitoring based on engagement with business stakeholders and technical partners
Understanding, assisting and troubleshooting access management, ensuring retention, auditing standards, best practices and data governance policies and procedures are applied consistently and accurately
Define strategy and identify dependencies to support data migration from legacy systems to the target data landscape
Lead a matrixed team of IT and business data professionals to define a globally aligned target state, clearly communicate the roadmap to implement, securing the funding/imvestment needed and lead the execution to achieve it(across-functional expertise).