Data Management Specialist

Muenchwilen, Switzerland

Applications have closed

Company Description

As a world market leader in crop protection, we help farmers to counter these threats and ensure enough safe, nutritious, affordable food for all – while minimizing the use of land and other agricultural inputs.
Syngenta Crop Protection keeps plants safe from planting to harvesting.  From the moment a seed is planted through to harvest, crops need to be protected from weeds, insects, and diseases as well as droughts and floods, heat, and cold.
Syngenta Crop Protection is headquartered in Switzerland.

Job Description

  • Driving the PT&E (Product Technology and Engineering) Data Management workflow tasks within the required time and quality.
  • Ensure that the T&E Data Management workflow tasks are defined and trained.
  • Manage data governance of all Syngenta PT&E data across the Syngenta PT&E business and wider organization and ensure data verification prior to handover to downstream systems/processes (MDM, P&S, Logistics).
  • Collaborate with other departments to do data validation from upstream systems/processes (R&D).
  • Provides support for projects and business change programm when PT&E and PT AI data is affected.
  • Management of data quality and associated improvement activity to ensure that data quality (including standards such as accuracy, validity, reliability, etc) of all Syngenta PT&E data is achieved
  • Consider all possible chemical or biological information sources e.g., MSDS, Sales Specs, Labels to guarantee the right set of data and the expected data quality.
  • Key contact for all data related changes that are part of a PPCR (product and process change request)
  • Driving the evaluation and enrichment of data via various sources (both internal and external) with assessment and assurance of the data quality  
  • Make sure all updates e.g., Specs are communicated to everybody.

Qualifications

  • Apprenticeship or Bachelor in Chemistry or Biology plus 3-5 years hands-on experience in similar or related roles
  • A broad understanding of data in science, an interest in data management and a clear understanding of the importance of data and data quality
  • Understanding of Product life cycle management from introduction to phase-out.
  • Good analytical thinking and the ability to implement the results that came out of the analysis.
  • Knowledge and practical experience of Operational Excellence/LEAN Six Sigma
  • Experience in Data Management and Data Quality documentation and implementation
  • Good awareness of the structure and data points needed for all kind of chemicals e.g. formulations, active ingredients, intermediates and raw materials.
  • Ability to learn new Data Management ways of working in a changing system and organisational environment.
  • Good communication skills.

Additional Information

Please send your complete application with CV and motivation letter as well as Diploma and Work Certificates (if you have).

We offer a variety of financial and non-financial benefits including: 

  • We offer a position which contributes to valuable and impactful work in a stimulating and international environment  
  • A superb working environment with an open culture and diverse workforce where new ideas are always welcome 
  • The opportunity to work with and learn from highly qualified and experienced employees and gain scientific and technical excellence 
  • Learning culture (Together we Grow) and wide range of training options 
  • You will profit from a competitive pension fund plan, attractive bonus system, onsite doctor, fitness room, canteen, and other benefits (Family friendly initiatives, Child and Family allowance…) 

Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status. 

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Biology Chemistry Data governance Data management Data quality Engineering R R&D

Perks/benefits: Career development

Region: Europe
Country: Switzerland
Job stats:  11  1  0

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