Commercial Data Governance Lead

Syngenta Group•Lisle, IL

6d•Hybrid

About The Position

Syngenta Seeds is seeking a Commercial Data Governance Lead for its Sales Team in Lisle, Illinois. The role leads the governance, stewardship, quality, and integrity of commercial data—including customer master and related domains—to establish a trusted, scalable data foundation for advanced analytics and AI-driven insights. The Lead sets standards, definitions, stewardship practices, and controls across customer, sales, pricing, and related data domains. This position partners with commercial leaders and cross-functional stakeholders to turn business challenges into scalable data, analytics, and AI-enabled solutions. It identifies and resolves complex data quality issues through structured problem-solving and root cause analysis, while promoting sustainable improvements and reducing manual processes. It also leads the application and responsible governance of AI and advanced analytics in commercial data processes, including automation, validation, enrichment, and anomaly detection. The role serves as a key liaison among Commercial, Insights & Analytics, Data Science, Data Engineering, and IT, translating technical concepts and recommendations for technical and non-technical audiences.

Requirements

Bachelor’s degree in Business Analytics, Data Science, Computer Science, Mathematics, Finance, Engineering, or a related quantitative discipline.
At least 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.
At least 3 years of experience leading direct reports, projects, or cross-functional initiatives.
Demonstrated problem-solving and consulting mindset, including ability to navigate ambiguity, independently identify solutions, and adapt to changing business priorities.
Strong communication and stakeholder-management skills, including 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.
Identify and resolve complex data quality issues using structured problem-solving and root cause analysis, and drive sustainable improvements that reduce 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.
Translate technical concepts and recommendations for technical and non-technical audiences.

Benefits

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.
Flexible work options.
Professional development opportunities and a culture promoting work-life balance.