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Sr Consultant, Data Management & Governance - AI & Data Science Job Opening In Atlanta – Now Hiring Cargill


Job description

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.

**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:

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

#LI-KK1 #FGB #themuse

**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

Equal Opportunity Employer, including Disability/Vet.


Required Skill Profession

Other General


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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Cargill adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Atlanta. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Interview Tips for Sr Consultant, Data Management & Governance AI & Data Science Job Success

Cargill interview tips for Sr Consultant, Data Management & Governance   AI & Data Science

Here are some tips to help you prepare for and ace your Sr Consultant, Data Management & Governance AI & Data Science job interview:

Before the Interview:

Research: Learn about the Cargill's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Sr Consultant, Data Management & Governance AI & Data Science interview at Cargill, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Cargill's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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