NA Digital & Data Analytics Manager

About the position

As a world market leader in crop protection, we help farmers to counter these threats and ensure enough safe, nutritious, affordable food for all – while minimizing the use of land and other agricultural inputs. Syngenta Crop Protection keeps plants safe from planting to harvesting. From the moment a seed is planted through to harvest, crops need to be protected from weeds, insects and diseases as well as droughts and floods, heat and cold.

Responsibilities

• Lead and manage a team of Machine Learning, Data & Analytics, Supply Chain Designing scientists and engineers.
• Engage other Supply chain functions to the Digital, Productivity and Innovation mindset.
• Lead the development and implementation of Data & Analytics, Machine Learning, Supply Chain Automation.
• Manage the D&A Project Pipeline to leverage and maximize the use of resources, among individual use cases, projects and programs.
• Champion the development of distinctive D&A delivery models, fostering the deployment of the required tools and capabilities.
• Guide the team to architect an entire AI Engineering platform that allows for deployment and scalability of machine learning models.
• Develop the required tools and process to establish and manage a robust D&A backlog/Pipeline.
• Designing machine learning systems and deploying them for Production & Supply areas.
• Guarantee resources are leveraged, and synergies are captured among use cases, no matter funding provenance.
• Running tests on machine learning models to determine accuracy and documenting the results.
• Develop automation and technology tools to improve data visibility and operational efficiency.
• For selected, key D&A use cases act as a bridge/ catalyst/ expert enabler between the business function and the IT D&A delivery team.

Requirements

• Bachelor’s degree in engineering, Computer Science, Supply Chain Management or other quantitative driven sciences.
• Solid understanding of business data structures.
• Knowledge of Agile development & Operational Excellence.
• Literate in Data & Analytics, understand how to structure and analyze data.
• Fluent in English, other languages are an advantage.

Benefits

• A culture that celebrates diversity & inclusion, promotes professional development, and strives for a work-life balance that supports the team members.
• 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.