Commercial Data Governance Lead

Syngenta Group•Lisle, IL

2d•$101,500 - $188,500•Hybrid

About The Position

Syngenta Seeds Field Crops is seeking a Commercial Data Governance Lead for its Sales Team in Lisle, Illinois. The role leads and establishes governance, stewardship, and quality control over commercial data, including customer master and related domains. It is responsible for creating a trusted, scalable data foundation that enables 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. It leads responsible governance of AI and advanced analytics in commercial data processes, including automation, validation, enrichment, and anomaly detection. The role also serves as a liaison among Commercial, Insights & Analytics, Data Science, Data Engineering, and IT, translating technical concepts 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.
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/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 using structured problem-solving and root cause analysis; drive sustainable 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, translating technical concepts and recommendations for technical and non-technical audiences.