Commercial Data Governance Lead
- Location
- Lisle, IL, United States
- Work mode
- On-site
- Employment type
- Full-time
Skills mentioned
- Data Governance
- SQL
- Data Quality Management
- Master Data Management
- Business Intelligence
- Analytics
- Salesforce
- Tableau or Power BI
- AI and Machine Learning
- Stakeholder Management
- Cross-functional Leadership
- Problem-solving
Picked out of the job description automatically; check the full description for what the employer asks for.
About the job
Company Description At Syngenta Seeds Field Crops, we're shaping the future of agriculture and empowering farmers to meet the ever-growing demand for food and fuel. We’re a global Ag Tech powerhouse, headquartered in the United States, with passionate, local experts collaborating with farmers to deliver solutions that create market opportunities. We unite precision breeding, advanced biotechnology trait choice, and digital platforms for unmatched in-field performance. Our seeds help mitigate risks such as disease, insect, weed, and extreme weather pressures, all while promoting sustainable farming practices that protect and enhance our planet. Join our mission of revolutionizing food security and transforming agriculture.
Job Description 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
Qualifications • 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
Additional Information Salary range for this position is $101,500 - $188,500 per year. 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.
- 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.
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. #LI-Hybrid WL: 5B
From Syngenta Group's careers page (SmartRecruiters), checked 29 Oct 2026.
How to apply
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Posted 27 Oct 2026 · checked 29 Oct 2026 · Report this job