What are the responsibilities and job description for the NA Digital & Data Analytics Manager position at Syngenta Group?
Company Description
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.
Syngenta Crop Protection is headquartered in Switzerland.
Job Description
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 and manage a team of Machine Learning, Data & Analytics, Supply Chain Designing scientists and engineers.
- 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.
Qualifications
- 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.
Additional Information
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.
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