Syngenta Group: Commercial Data Governance Lead — Lisle, IL, United States

About Syngenta Group

Syngenta Group works in agricultural technology and crop-related innovation. Its employer descriptions connect scientific development and crop solutions with helping farmers use resources effectively and improve how crops are grown. Material from its vegetables-and-flowers business also identifies seed breeding for different climates and horticultural needs. Across these activities, the stated business purpose links agricultural production with resource use and environmental concerns, bringing scientific and technological work to practical farming and growing conditions.

The position and its setting

Syngenta Group lists Commercial Data Governance Lead in Lisle, IL, United States, under reference 18076723. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Commercial
• Employment type: Full-time
• Employer listing date: 22 October 2026
• Brands: Syngenta Seeds

Responsibilities and work described

• 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 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
• Leadership: 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
• Leadership: 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

Essential requirements and candidate background

• 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
• Hands-on SQL experience and proficiency working with relational databases and complex data sets
• Experience: 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
• Communication and stakeholder-management skills, including the ability to translate complex technical concepts into clear, actionable recommendations for non-technical business partners
• Experience: Salesforce and commercial/customer data environments
• Experience: 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

Location, schedule and contract conditions

For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.

• Work arrangement: On-site
• Advertised location: Lisle, IL, United States

Benefits mentioned by the employer

• 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
• #LI-Hybrid
• WL: 5B

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Commercial Data Governance Lead vacancy is not an offer for reference 18076723; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Syngenta Group

Applications follow the official employer page linked below.

Open the official Syngenta Group posting below and match the title and reference 18076723.

Compare your qualifications and experience with the essential conditions for the Lisle, IL, United States position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: SQL

SQL references usually call for more detail than “database knowledge”. Explain the data you queried, the business or engineering question and how you checked that joins, aggregates and filters produced the intended result.

Relevant skills

• SQL
• AI/ML
• Salesforce
• AI
• quality control
• sales
• agriculture
• sustainability
• stakeholder management
• pricing
• root-cause analysis