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 Sales Team is seeking a Commercial Data Governance Lead in Lisle, IL. This role will lead and establish strong governance, stewardship, and quality control over commercial data (including customer master and related domains), ensuring a trusted, scalable data foundation that enables advanced analytics and AI-driven insights across the organization.
- Lead the governance, quality, and integrity of commercial data, establishing clear 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 within commercial data processes, including automation, validation, enrichment, and anomaly detection.
- Serve as a key liaison across Commercial, Insights & Analytics, Data Science, Data Engineering, and IT, effectively translating technical concepts and recommendations for both technical and non-technical audiences
- 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
Desired Qualifications:
- Experience with Salesforce and commercial/customer data environments.
- Experience with visualization and BI tools such as Qlik, Tableau, or Power BI. Qlik experience would be beneficial but is not required.
- MBA, 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
What We Offer:
- A culture that celebrates diversity & inclusion, promotes professional development, and strives for a work-life balance that supports the team members. Offers flexible work options to support your work and personal needs.
- Full Benefit Package (Medical, Dental & Vision) that starts your first day.
- 401k plan with company match, Profit Sharing & Retirement Savings Contribution.
- Paid Vacation, Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts, among other benefits.
Syngenta has been ranked as a top employer by Science Journal.
Learn more about our team and our mission here: https://www.youtube.com/watch?v=OVCN_51GbNI
Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.
Use of AI in Our Recruitment Process
At Syngenta, we use artificial intelligence (AI) to screen applications for high-volume roles.
When you submit an application, AI technology assesses your profile against the job requirements and generates a matching score. This score reflects how closely your qualifications, skills, and experience align with the role's criteria as defined in the job description
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