Commercial Data Governance Lead

Syngenta Group•Lisle, IL

4d•Hybrid

About The Position

Syngenta Seeds is seeking a Commercial Data Governance Lead to establish and lead governance, stewardship, and quality controls for commercial data, including customer master data and related domains. The role will build a trusted, scalable data foundation that supports advanced analytics and AI-driven insights across the organization. The position partners with commercial leaders and cross-functional stakeholders to turn business challenges into scalable data, analytics, and AI-enabled solutions that improve decisions and business outcomes. It identifies and resolves complex data quality issues through structured problem-solving and root cause analysis, and drives sustainable improvements while reducing manual processes. The role also guides the responsible application and governance of AI and advanced analytics in commercial data processes, including automation, validation, enrichment, and anomaly detection. It serves as a liaison among Commercial, Insights & Analytics, Data Science, Data Engineering, and IT, translating technical concepts and recommendations for technical and non-technical audiences. The position is based in Lisle, Illinois.

Requirements

Bachelor’s degree in Business Analytics, Data Science, Computer Science, Mathematics, Finance, Engineering, or a related quantitative discipline.
7 or more years of experience in analytics, business intelligence, data management, or a related field.
Strong hands-on SQL experience and proficiency 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 or more years of experience leading direct reports, projects, or cross-functional initiatives.
Problem-solving and consulting mindset, including 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 or 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 for 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.
Drive sustainable data quality improvements and 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

Flexible work options.
Medical, dental, and vision benefits starting 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.
Professional development and a culture that promotes diversity, inclusion, and work-life balance.