Commercial Data Governance Lead

Syngenta Group•Lisle, IL
•Hybrid

About The Position

Syngenta Seeds is seeking a Commercial Data Governance Lead for its Sales Team in Lisle, Illinois. The role establishes and leads governance, stewardship, and quality control for commercial data, including customer master and related domains. It develops a trusted, scalable data foundation to enable advanced analytics and AI-driven insights across the organization. The role works with commercial leaders and cross-functional partners to turn business challenges into scalable data, analytics, and AI-enabled solutions, and serves as a liaison among Commercial, Insights & Analytics, Data Science, Data Engineering, and IT.

Requirements

  • Bachelor’s degree in Business Analytics, Data Science, Computer Science, Mathematics, Finance, Engineering, or a related quantitative discipline.
  • 7+ years of experience in analytics, business intelligence, data management, or a related field.
  • Strong hands-on SQL experience and proficiency working with relational databases and complex data sets.
  • Experience with data governance, master data management, data quality, stewardship, standards, hierarchies, and/or data lifecycle management.
  • 3+ years of experience leading direct reports, projects, or cross-functional initiatives.
  • Demonstrated problem-solving and consulting mindset, with the ability to navigate ambiguity, independently identify solutions, and adapt to changing business priorities.
  • Strong communication and stakeholder-management skills, including the ability to translate complex technical concepts into clear, actionable recommendations for non-technical business partners.

Nice To Haves

  • Experience with Salesforce and commercial/customer data environments.
  • Experience with visualization and BI tools such as Qlik, Tableau, or Power BI; Qlik experience is beneficial but not required.
  • MBA, a master’s degree in an analytical discipline, and/or experience applying AI-driven approaches such as automation, data enrichment, or anomaly detection within data and analytics workflows.

Responsibilities

  • Lead governance, quality, and integrity of commercial data, establishing standards, definitions, stewardship practices, and controls across customer, sales, pricing, and related data domains.
  • Partner with commercial leaders and cross-functional stakeholders to translate business challenges into scalable data, analytics, and AI-enabled solutions that improve decision-making and business outcomes.
  • Identify and resolve complex data quality issues through structured problem-solving and root cause analysis, while driving sustainable improvements and reducing manual processes.
  • Lead the application and responsible governance of AI and advanced analytics in commercial data processes, including automation, validation, enrichment, and anomaly detection.
  • Serve as a liaison across Commercial, Insights & Analytics, Data Science, Data Engineering, and IT, translating technical concepts and recommendations for technical and non-technical audiences.

Benefits

  • Flexible work options to support work and personal needs.
  • Full medical, dental, and vision benefits starting on the first day.
  • 401(k) plan with company match.
  • Profit sharing and retirement savings contribution.
  • Paid vacation and paid holidays.
  • Maternity and paternity leave.
  • Education assistance.
  • Wellness programs.
  • Corporate discounts.
  • A culture that celebrates diversity and inclusion, promotes professional development, and strives for work-life balance.
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