Sustainability Data & Analytics Lead

Company Description

Syngenta Group, a global leader in agricultural technology and innovation, employs 60,000 people across more than 100 countries to transform agriculture through tailormade solutions for farmers, society, and our planet. Our diverse portfolio encompasses seeds, crop protection, nutrition products, agronomic solutions, and digital services, all designed to help farmers produce healthy food, feed, fiber, and fuel while conserving natural resources and protecting the environment. Our mission is to address critical challenges such as climate change and food security through sustainable practices and cuttingedge solutions, while safeguarding the planets resources.

Job Description

Join our global Crop Protection (CP) Sustainability Business Partners (BPs) team as the Sustainability Data & Analytics Lead. Youll develop and implement tools delivering crucial insights for sustainable portfolio development, with special focus on our Portfolio Sustainability Framework (PSF). This framework provides transparency to external stakeholders on our portfolios sustainability profile while facilitating internal decisionmaking.

Key Accountabilities

Portfolio Sustainability Framework (PSF)

• Own the CP PSF technical platform, including Qlik tools, data models, and automation with other tools and our data lake (GAIA data bricks).
• Develop global and regional dashboards delivering actionable insights supporting business processes (KPI setting, improvement plans, stage gate promotions).
• Deliver data engineering solutions to drive further automation of PSF platform and simulation tools.
• Explore AI opportunities to enhance productivity and workflows.
• Perform technical and data quality checks ensuring reliable PSF reports delivery.
• Maintain robust documentation, SOPs, and support models for the PSF.

• Sustainability Data Solutions Operations

  • Define and implement sustainability data acquisition strategy, including farmer practice data supporting metrics like carbon emissions and biodiversity.
  • Collaborate with internalexternal partners on digital tools and methodologies (e.g., Cool Farm Alliance, AgroLens, Cropwise).
  • Work closely with Sustainability BPs to provide data and insights across all product lines.
  • Support development of tools enabling accurate reporting on Syngenta Groups sustainability priorities.
  • Understand stakeholder needs to develop or improve solutions for data tools, analytics and modeling.

  • Critical Success Factors & Key Challenges

    • Technical Mastery: Advanced proficiency in data engineering and innovative technologies.
    • Data Quality Assurance: Maintain high standards of data integrity and accuracy.
    • Stakeholder Management: Effective collaboration across diverse teams.
    • Strategic Alignment: Ensure data solutions support business goals and sustainability priorities.
    • Project Execution: Efficient management and timely delivery of complex data projects.

    • Qualifications

      Experience & Expertise:

      • Data engineering and visualization skills (PythonRdash, SQL, Qlik, cloud services like AWS).
      • Experience with simulations and whatif scenarios; Machine Learning and predictive analytics preferred.
      • Delivering datadriven insights.
      • Managing complex, multistakeholder projects.
      • Analyzing complex datasets.
      • Crossfunctional and international teamwork.

      • Additional Information

        Location: Remote working is possible within the European Union and UK.

        • Extensive benefits package including a generous pension scheme, bonus scheme, private medical & life insurance.
        • Flexible working arrangements.
        • We offer a position which contributes to valuable and impactful work in a stimulating and international environment.
        • Learning culture (Together we Grow) and wide range of training options.

        • Equal Opportunity
          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.