Data Stewardship Analyst- Seeds R&D

Company Description

About Syngenta

Syngenta is a global leader in agriculture; rooted in science and dedicated to bringing plant potential to life. Each of our 30,000 employees in more than 90 countries work together to solve one of humanity’s most pressing challenges: growing more food with fewer resources. A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture. Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. No matter what your position, you will have a vital role in safely feeding the world and taking care of our planet. Join us and help shape the future of agriculture.

About Us

Through leading innovations, we help farmers around the world meet the challenge of feeding a growing population and taking care of our planet. We are currently seeking a Data Stewardship Analyst- Seeds R&D for the global Vegetables & Flowers Seeds Development teams in Durham North Carolina, Enkhuizen Netherlands or other major Syngenta location may be considered.   

Job Description

Role Purpose

The R&D Data Stewardship Analyst who should possess,  

• minimum of MS in Plant Breeding, Data Science, or related field
• Minimum of 3-5 years experience in seeds industry R&D setting

will play an instrumental role on driving excellence in identity management across global Vegetables & Flowers Seeds Development teams to:

• Elevate accuracy and quality of germplasm identity data in enterprise IT systems
• Lead the enablement of trait and germplasm identity attributes in alignment with business objectives
• Contribute to the development and drive the deployment of IT tools and capabilities in relation to germplasm and trait identity and material management

Accountabilities

• Develop deep expertise in Syngenta’s identity domain model and provide technical guidance to improve the integrity of germplasm relationships for relevant crops
• Drive best practices for germplasm and trait identity data management to improve quality and completeness
• Lead the harmonization of ways-of-working in germplasm identity data management across crops
• Put emphasis on continuous improvement of identity data management through establishment of processes, guidelines and KPIs in collaboration with leaders and SMEs
• Organize trainings to frequently engage and update users in Germplasm Development, Biological Operations, Applied Data Science, Trait Development teams and other stakeholders
• Provide direction to functional stakeholders to continuously maintain data stewardship through data completeness, accuracy and integrity
• Serve in cross-functional teams to actively contribute towards development of germpasm and trait identity management IT tools and functionalities in alignment with DSET
• Drive the enablement and transition to new IT tools and functionalities proactively while simplifying ways of working 
• Deliver data queries, technical summaries, reports and analyses in an effective and timely manner to stakeholders and cross-functional collaborators
• Lead data stewardship and data standardization initiatives beyond germplasm and trait identity as feasible to advance organizational objectives
• Keep up to date with internal and external data science toolbox and methodologies

Qualifications

Knowledge, Experience & Capabilities

Critical Knowledge

• MS in Plant Breeding, Data Science, or related field
• Minimum of 3-5 years experience in seeds industry R&D setting
• Deep understanding of commercial breeding pipelines, germplasm relationships, seed and trialing operations, and overall product development process

Critical Experience

• Experience in IT systems/tools relevant for germplasm management, breeding and trailing operations
• Experience in data management and ability to query large, complex datasets
• Advanced data fluency, such as experience with SQL and command of open-source programming languages

Critical Technical, Professional and Personal Capabilities

• Ability to work independently and effectively navigate matrix settings
• Ability to drive strong collaborations and work effectively across cultures with stakeholders across the globe
• Ability to lead data initiatives, drive change in process and mindset, and achieve outstanding outcomes
• Outstanding communication skills, and ability to distill complex concepts and deliver clear me