NA Digital & Data Analytics Manager

Job Description

Job Description

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

SPONSORSHIP NOT OFFERED

CANDIDATES MUST BE A U.S. CITIZEN OR CURRENT GREEN CARD HOLDER

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

Ensure good communication and alignment with Global Digital Productivity and Innovation function

Establish a strategic partnership with IT and other technology areas to facilitate key projects implementation

Lead the development and implementation of Data & Analytics, Machine Learning cases, Supply Chain Automation

Manage the Data & Analytics Project Pipeline to leverage and maximize the use of resources among individual use cases, projects, and programs

Champion the development of distinctive Data & Analytics delivery models, fostering the deployment of the required tools and capabilities

Guide the team in architecting an entire AI Engineering platform that allows for the deployment and scalability of machine learning models

Guarantee resources are leveraged, and synergies are captured among use cases, no matter the 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

Qualifications

Critical Knowledge

Bachelor’s Degree Preferred

Bachelor’s degree in engineering, Computer Science, Supply Chain Management, or other quantitative-driven sciences

Strong leadership, project management, and communication skills

Strong computer skills and ability to work in Excel, PowerPoint, Outlook, and Word

Critical Experience

Experience working in a cross-functional team

Strong Leadership & People Management Skills, Innovation, creativity Skills, Project Management, Supply Chain Processes, Continuous Improvement Skills, Supply Chain experience (5+ years), Project Management, Machine Learning, Data & Analytics, and Artificial Intelligence developments in Supply Chain

Desirable Technical Skills

SAP Hana, Data Engineering, Data Analytics, Snowflake, Java, Supply Chain Automation, Qlik Sense, Tableau

Proficient in SQL and Python, understanding of ETL processes and data pipeline design, Knowledge in data science tools like TensorFlow, Scikit-learn, SciPy, NumPy, Pandas, XGBoost, Keras

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.

WL5A

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