Staff Data Steward


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Job Title: Staff Data Steward
Location: Residence Based, Nationwide United States, USA

Company: Bayer
Industry Sector: Agribusiness
Industry Type: Plant & Soil Sciences, Seed & Biotechnology
Career Type: Customer Support
Job Type: Full Time
Salary: Competitive
Job Description:

 

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.

 

Staff Data Steward 

 

As a Staff Data Steward at Bayer Crop Science, you will ensure availability, accuracy, reliability, and quality of data through applied knowledge of workflows, data platforms, and stakeholder engagement.

 

YOUR TASKS AND RESPONSIBILITIES  

The primary responsibilities of this role are to: 

 

  • Coordinate 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 

  • Understand business capability needs and processes as they relate to IT solutions through partnering with Product Managers and business and functional IT stakeholders. Ability to identify gaps in requirements based on business subject matter domain expertise 

  • Implement and utilize data solutions for data analysis and profiling using a variety of tools such as Postman, R or Python and following team’s established processes and methodologies 

  • Participate in discussions across business organizations, lines of business, countries/hubs to document business logic and sources of data 

  • Lead Open Data efforts, making data FAIR (Findable, Accessible, Interoperable and Reusable) to strengthen Bayer Crop Science's effectiveness in carrying out its mission 

  • Lead trainings and discussions to evangelize these frameworks and objectives - Governance, Data Quality, Data Wrangling and Best Practices 

  • Collaborate with other data stewards and engineers within the team and across teams on aligning delivery dates and integration efforts 

  • Define data quality rules and implement automated monitoring, reporting, and remediation solutions 

  • Utilize root cause analysis to identify trends and assess impact of data quality issues 

  • Coordinate intake and resolution of data support tickets 

  • Support data migration from legacy systems, data inserts and updates not supported by applications 

  • Deliver high quality data required for successful implementation of program objectives and organizational strategies.  Identify data quality needs and implement solutions focused on preventing quality issues and minimizing manual intervention.  Ensures that data is structured properly, follows governance guidelines and enforces security policies 

  • Responsible for setting the strategy for assigned areas of work and overseeing success and strategic alignment of project scope, budget, and timelines. Within given scope, budget, and timelines, the position is free to organize work as required. 

  

WHO YOU ARE 

Bayer seeks an incumbent who possesses the following: 

 

Required: 

  • Bachelor's Degree in Computer Science, Engineering, Science, Agriculture or other related field. 

  • 6 years relevant professional experience (or 4 years with Master’s Degree or 1 year with PhD) 

  • Experience querying SQL and/or NoSQL databases 

  • Experience managing data using APIs 

  • Experience manipulating data using scripting languages and/or data processing software (e.g. Python, R, Pipeline Pilot, ETL applications) 

  • Experience profiling data, summarizing and reporting data quality metrics 

  • Demonstrated ability to deliver detailed technical documentation 

  • Experience participating in the build and support of APIs using resource-based design principles 

  • Superficial experience with modern engineering technologies and data principles, for instance: Big Data Cloud Compute, NoSQL, etc. 

  • Has demonstrated critical in-depth domain knowledge that provides insight and authority to working groups 

  • Experience participating in the build and support of APIs 

  • Understanding of agile development, continuous deployment, DevOps, and decision science – AI, ML, OR, etc. 

 

Employees can expect to be paid a salary of approximately $110k-155k. Additional compensation may include a bonus or incentive program (if relevant).? Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc..? This salary (or salary range) is merely an estimate and may vary based on an applicant’s location, market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other relevant factors. 

 

This posting will be available for application until at least 10/27/25. 

   
YOUR APPLICATION  
   

Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Science for a better life, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer. 
To all recruitment agencies: Bayer does not accept unsolicited third party resumes.
 
Bayer is an Equal Opportunity Employer/Disabled/Veterans
 
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 is an E-Verify Employer.  
   
 
   
Location: Chesterfield|Residence Based     
Division: Crop Science    
Reference Code: 854742     
 
 
 

 

To apply please click on APPLY TO THIS POSITION
Job Post Date: 10/13/25
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Career Type: Customer Support
Country: USA

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