Cargill’s size and scale allows us to make a positive impact in the world. Our purpose is to nourish the world in a safe, responsible and sustainable way. We are a family company providing food, ingredients, agricultural solutions and industrial products that are vital for living. We connect farmers with markets so they can prosper. We connect customers with ingredients so they can make meals people love. And we connect families with daily essentials — from eggs to edible oils, salt to skincare, feed to alternative fuel. Our 160,000 colleagues, operating in 70 countries, make essential products that touch billions of lives each day. Join us and reach your higher purpose at Cargill.

QUALIFICATIONS

• Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.

Preferred:

• 6 years relevant experience
• 2 + years leading or coaching multidisciplinary teams on emerging-technology risk (AI/ML, cloud SaaS, or automation platforms).

The Senior Consultant, AI Data Management & Governance builds risk-assessment methods and control implementation that keep Cargill’s AI ecosystem—MLOps, LLMOps, third-party SaaS assistants, and agentic-process-automation (APA) platforms - safe, compliant, and trustworthy. Working with Security, Legal, Data Privacy, Platform Engineering, and Product teams, you will quantify AI-specific risks (e.g., model bias, prompt injection, tool-calling abuse), set enterprise guardrails, and ensure practical controls are embedded in every AI product and platform service.