Sr Consultant, Data Management Governance - AI Data Science

Job Purpose and Impact

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.

Key Accountabilities

STRATEGIC PLANNING: 

• Establish AI-specific risk categories (model risk, data-privacy leakage, third-party SaaS exposure, agent autonomy limits). 

• Conduct complex risk assessments that quantify potential business impact and map exposure to the enterprise risk-appetite statement. 

POLICY DEVELOPMENT & GOVERNANCE: 

• Help maintenance of the enterprise AI risk register; score and prioritize risks arising from internal models, external APIs (OpenAI, Gemini, Anthropic), and APA tools. 

• Develop due-diligence playbooks for vendor LLMs, SaaS copilots, optimization solvers (Gurobi Cloud), and hosted agent runtimes. 
• Help creation and maintenance of AI Technology Governance Policy, including requirements for data sourcing, model evaluation, prompt safety, and human-in-the-loop review. 
• Align internal standards to external standards like NIST AI RMF, ISO/IEC 42001, and upcoming regional AI Acts (e.g., EU AI Act). 

DATA QUALITY: 

• Translate policy into technical controls (e.g., model-card metadata, bias tests, prompt-filter APIs, secrets-management, lineage tracking) and verify deployment in MLOps/LLMOps pipelines. 

• Lead periodic control testing, red-team exercises, and Responsible-AI reviews. 

COMPLIANCE & RISK MANAGEMENT:

• Monitor global AI-related regulations; map new obligations to policy updates and platform backlog items. 

• Coordinate evidence collection for audits and certifications (SOC 2, ISO 27001/42001). 

DATA OPERATIONS & STEWARDSHIP: 

• Define key risk indicators (KRIs) and performance metrics (e.g., model-drift incidents, unapproved prompt exceptions, vendor AI SLA breaches). 

Qualifications

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

Preferred: 

Compensation Data

The expected salary for this position is $105,000 - $155,000. Compensation varies depending on a wide array of factors including but not limited to the specific location, certifications, education, and level of experience. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled. This position is eligible for a discretionary incentive award. The incentive award amount is dependent upon company performance and your personal performance.

At Cargill we put people first.  As part of your overall rewards, we offer a comprehensive benefit program including medical and/or other benefits dependent on the position offered and hours worked. Visit: https://www.cargill.com/page/my-health/mh-health-and-wellnessto learn more (subject to certain collective bargaining agreements for Union positions) .

Minnesota Sick and Safe Leave accruals of one hour for every 30 worked, up to 48 hours per calendar year unless otherwise provided by law