Senior Commercial Data Governance & Analytics Lead

Syngenta Seeds

Lisle (IL)

On-site

USD 120,000 - 180,000

Full time

11 days ago

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Benefits offered by this job

Flexible work options
Medical, Dental & Vision benefits
401k with company match

Job summary

Syngenta Seeds in Lisle, IL seeks a Commercial Data Governance Lead to establish governance, stewardship, and quality controls for commercial data across customer, sales, and pricing domains. You will drive AI-enabled analytics, partner with cross-functional teams, and resolve data quality issues to support scalable decision-making.

The role requires 7+ years in analytics or data management, strong SQL, and experience with governance, data quality, and stakeholder management.

Qualifications

  • 7+ years of analytics, BI, data management, or related experience.
  • 3+ years of leading direct reports, projects, or cross-functional initiatives.
  • Strong hands-on SQL with relational databases and complex data sets.
  • Experience with data governance, master data management, data quality, stewardship, and data lifecycle management.
  • Ability to translate business challenges into scalable data, analytics, and AI-enabled solutions.

Responsibilities

  • Govern commercial data, establishing standards, stewardship, and controls across data domains.
  • Partner with commercial leaders to translate business challenges into data-driven solutions.
  • Identify and resolve complex data quality issues and drive sustainable improvements.
  • Lead governance of AI and analytics within data processes, including validation and enrichment.
  • Act as liaison across Commercial, Insights & Analytics, Data Science, Data Engineering and IT.

Skills

SQL
Data governance
Stakeholder management
Problem solving

Education

Bachelor’s degree in Business Analytics or related field
MBA or analytical master’s degree

Tools

Salesforce
Tableau
Power BI
Qlik

Job description

Syngenta Seeds in Lisle, IL seeks a Commercial Data Governance Lead to establish governance, stewardship, and quality controls for commercial data across customer, sales, and pricing domains. You will drive AI-enabled analytics, partner with cross-functional teams, and resolve data quality issues to support scalable decision-making.

The role requires 7+ years in analytics or data management, strong SQL, and experience with governance, data quality, and stakeholder management.

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