Seeds R&D Pipeline Performance Analyst

At Syngenta, our goal is to build the most collaborative and trustworthy team in agriculture, providing top-quality seeds and innovative crop protection solutions that improve farmers' success. To support this mission, Syngenta's Global Portfolio Operations Team is seeking a Seeds R&D Pipeline Performance Analyst in Durham, NC. This role will serve as a strategic pipeline analyst to Hub and Trait teams, providing independent insights across R&D that help build a pipeline narrative that can be leveraged across internal stakeholders.

The Seeds R&D Pipeline Performance Analyst is a global analytical role responsible for comprehensive pipeline performance analysis across all Syngenta Seeds R&D. The ideal candidate will combine strong analytical and agronomy skills with the ability to distill complex data into clear executive summaries and compelling pipeline narratives, supporting breeding program success and driving data-informed action at senior levels while maintaining alignment with industry standards and competitive benchmarks.

Accountabilities:

• Develop and maintain comprehensive analytical frameworks to assess germplasm and trait pipeline performance, such as KPIs, metrics, and predictive models.
• Monitor pipeline velocity, bottlenecks, and conversion rates across programs, conducting variance analysis between intended vs. actual outcomes.
• Partner with Digital and breeding program leaders to ensure data integrity, analytical relevance, and integration of industry benchmarks.
• Serve as an independent checkpoint for pipeline performance, leading root cause analysis of underperformance and unexpected outcomes.
• Create executive-level reports and presentations synthesizing complex pipeline data into actionable strategic recommendations.
• Analyze resource utilization efficiency across breeding programs and geographies to optimize allocation.
• Support scenario planning and strategic decision-making through data-driven insights and recommendations.
• Collaborate with IT and data science teams to develop and enhance advanced analytical tools and platforms.