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Ai Risk Analyst Jobs in Sheboygan, WI (NOW HIRING)

VP-Corporate Communications

Kohler, WI · On-site

$227K - $376K/yr

... mitigate risk. * Establish and maintain crisis protocols, training, and readiness across the ... Modernize communications through digital tools, data analytics, and AI-driven solutions. * Enhance ...

... mitigate risk. * Establish and maintain crisis protocols, training, and readiness across the ... Modernize communications through digital tools, data analytics, and AI-driven solutions. * Enhance ...

... mitigate risk. * Establish and maintain crisis protocols, training, and readiness across the ... Modernize communications through digital tools, data analytics, and AI-driven solutions. * Enhance ...

... mitigate risk. * Establish and maintain crisis protocols, training, and readiness across the ... Modernize communications through digital tools, data analytics, and AI-driven solutions. * Enhance ...

Ai Risk Analyst information

See Sheboygan, WI salary details

$15

$40

$65

How much do ai risk analyst jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for ai risk analyst in Sheboygan, WI is $40.35, according to ZipRecruiter salary data. Most workers in this role earn between $29.71 and $49.09 per hour, depending on experience, location, and employer.

How does an AI Risk Analyst typically collaborate with cross-functional teams to assess and mitigate risks?

AI Risk Analysts work closely with data scientists, engineers, compliance officers, and business leaders to identify, evaluate, and mitigate risks associated with AI systems. They facilitate risk assessment workshops, gather input from technical and non-technical stakeholders, and ensure that risk controls are integrated into AI development processes. Effective communication and documentation are crucial, as analysts must translate complex technical risks into actionable recommendations for diverse teams. This collaborative approach helps ensure that AI solutions are both innovative and aligned with regulatory and ethical standards.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI research directors, chief AI officers, or senior data scientists working in organizations with significant AI investments. These positions often require advanced skills in machine learning, deep learning, and data analysis, along with extensive experience and leadership responsibilities. Compensation at this level reflects the strategic importance and complexity of AI initiatives within the company.

What careers are at risk with AI?

AI poses a risk to jobs involving repetitive tasks and routine processes, such as data entry, basic customer service, and certain manufacturing roles. Roles that rely heavily on manual or predictable tasks are more susceptible to automation, while jobs requiring complex decision-making, creativity, and emotional intelligence are less vulnerable.

How to become an AI risk analyst?

To become an AI risk analyst, candidates typically need a strong background in computer science, data analysis, or related fields, along with knowledge of AI systems and risk management principles. Relevant skills include programming, statistical analysis, and familiarity with AI safety tools, often supported by certifications or advanced degrees. Gaining experience through internships or projects focused on AI ethics and safety is also beneficial.

What does an AI risk analyst do?

An AI risk analyst evaluates potential risks associated with artificial intelligence systems, including ethical, safety, and security concerns. They analyze data, develop risk mitigation strategies, and often use tools like risk assessment frameworks and programming skills to ensure AI deployments are safe and compliant with regulations.

What is the difference between Ai Risk Analyst vs Data Scientist?

AspectAi Risk AnalystData Scientist
Required CredentialsBachelor's in Risk Management, Data Science, or related fields; certifications in AI or risk analysisBachelor's or Master's in Data Science, Statistics, or Computer Science; certifications in data analysis or machine learning
Work EnvironmentFinancial institutions, insurance companies, or tech firms focusing on risk assessmentTech companies, research labs, or any industry leveraging data for insights
Employer & Industry UsagePrimarily in finance, insurance, and risk-focused sectorsAcross various industries including tech, healthcare, finance, and marketing

The main difference is that an Ai Risk Analyst specializes in assessing and managing risks related to AI systems, often within financial or risk-focused industries. In contrast, a Data Scientist analyzes large datasets to extract insights across diverse sectors. While both roles require strong analytical skills and knowledge of AI and data tools, the Ai Risk Analyst focuses more on risk mitigation specific to AI applications.

What are the key skills and qualifications needed to thrive as an AI Risk Analyst, and why are they important?

To thrive as an AI Risk Analyst, you need a strong foundation in data analysis, risk assessment, and an understanding of AI/ML technologies, typically supported by a degree in computer science, statistics, or a related field. Familiarity with risk management frameworks, AI auditing tools, and certifications such as CRISC or AI ethics credentials is often required. Excellent problem-solving, critical thinking, and communication skills help in identifying risks and conveying complex findings to stakeholders. These skills are crucial to ensure responsible AI deployment, mitigate potential risks, and maintain regulatory compliance.

What are AI Risk Analysts?

AI Risk Analysts are professionals who assess, monitor, and manage the risks associated with the development and deployment of artificial intelligence systems. Their work involves identifying potential threats such as bias, security vulnerabilities, ethical concerns, and compliance issues that could arise from using AI technologies. They collaborate with data scientists, engineers, and compliance teams to develop risk mitigation strategies and ensure that AI systems operate safely, ethically, and in accordance with relevant regulations.

LLM Optimization & Agentic Commerce Manager

Sargento

Plymouth, WI • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Re-posted 15 days ago


Sargento rating

9.2

Company rating: 9.2 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

3rd of 434 rated food and drinks producers


Job description

The LLM Optimization & Agentic Commerce Manager is responsible for ensuring Sargento’s brand, products, and claims are accurately represented, discoverable, and competitively positioned across large language models (LLMs), AI assistants, and agent-based commerce platforms. This role works across brand, media, eCommerce, analytics, and technology in areas where standards and best practices are still emerging. Beyond protecting brand integrity and improving AI visibility, this role is expected to drive business impact by shaping brand positioning, influencing how Sargento appears across the media ecosystem, and capturing consumer sentiment and coverage across AI surfaces, social environments, and agentic commerce experiences.

Your Story.

The LLM Optimization & Agentic Commerce Manager is responsible for ensuring Sargento’s brand, products, and claims are accurately represented, discoverable, and competitively positioned across large language models (LLMs), AI assistants, and agent-based commerce platforms. This role works across brand, media, eCommerce, analytics, and technology in areas where standards and best practices are still emerging. Beyond protecting brand integrity and improving AI visibility, this role is expected to drive business impact by shaping brand positioning, influencing how Sargento appears across the media ecosystem, and capturing consumer sentiment and coverage across AI surfaces, social environments, and agentic commerce experiences.

Your Passion. Our Culture.

At Sargento, you work for a company you believe in, with a family of people who believe in you.  Our culture stems from a simple premise: Hire good people and treat them like family.  At Sargento, you can make decisions based on how they affect people as well as the long-term health of our company.  You will be encouraged to make a meaningful difference in the community, in the company and in your career.  With diverse experiences and tools to learn and develop, you can transform your aspirations into reality.  If you’re ready for the right place to belong and grow your career, you can find it here.

Benefits that set us apart.

  • Comprehensive medical including Fertility, Adoption benefits, Dental, and Vision Insurance
  • Remote ½ day Fridays
  • Onsite Health & Wellness Center
  • Employer 401K contribution in the top 1% of the nation
  • Relocation Assistance
  • Tuition Assistance
  • Access to Employee Store

What You Do.  

  • LLM & AI Visibility Strategy
    • Own & evolve the Sargento’s brand strategy for LLM discoverability, accuracy, and brand representation rapidly changing AI ecosystem.
    • Monitor how Sargento products, claims, nutrition, and brand stories appear across major LLMs and AI assistants.
    • Identify gaps, risks, and opportunities related to misinformation, hallucinations, or loss of share of voice in AI-driven discovery.
    • Adapt strategy as platforms, models, and behaviors evolve.
  • AI Agent & Media Enablement
    • Partner with Media, Omni-Channel, and Analytics teams to evaluate how AI agents can support or optimize media planning, activation, and performance analysis, as LLMs increasingly function as media and commerce environments.
    • Translate emerging AI agent capabilities into practical, test-and-learn use cases (planning efficiency, optimization signals, reporting acceleration).
    • Stay ahead of platform changes that affect how media, commerce, and content are surfaced in AI environments, proactively adjusting approaches as rules, capabilities, and signals shift.
  • Data, Content & Signal Management
    • Partner with Brand, Omni, Legal, IT, and Analytics to ensure structured, authoritative, and up-to-date data signals (product info, FAQs, claims, imagery, content) are AI-ready.
    • Help define evolving best practices for content creation and governance that improve AI interpretation and reuse.
    • Collaborate on schema, feeds, APIs, and other inputs that influence AI outputs.
  • Governance, Risk & Brand Protection
    • Establish guardrails and governance for AI usage related to brand, media, and commerce.
    • Proactively identify reputational, legal, or consumer trust risks associated with AI-generated outputs.
    • Partner closely with Legal and PR on escalation paths and response protocols when inaccuracies surface.
  • Measurement & Learning
    • Define success metrics for LLM visibility and accuracy (share of voice, sentiment, citation quality, accuracy benchmarks).
    • Build ongoing reporting and learning loops to inform brand, media, and eCommerce strategy.
    • Share insights with leadership to guide investment, prioritization, and capability development.
    • Serve as the primary owner of Sargento’s AI/LLM visibility platform responsible for day-to-day usage, monitoring brand presence and accuracy, interpreting insights, managing vendor partnership, and translating results into clear actions for Brand, Media, Omni-Channel, PR, and Analytics teams.
    • Partner with Brand Strategy & Analytics to evolve brand equity tracking to include AI-driven discovery and recommendation environments.
    • Translate LLM visibility signals into leading indicators of brand equity shifts (early signals vs. lagging survey data).
  • External Partnerships & Thought Leadership
    • Lead evaluations and partnerships with AI/LLM visibility platforms, measurement vendors, and tech partners.
    • Represent Sargento as a knowledgeable, credible voice in evolving AI-driven marketing and commerce conversations
    • Stay current on platform, and industry shifts related to AI and marketing.

Your Education and Experience.

  • Bachelor’s degree required  
  • 5+ years of experience in marketing, media, analytics, digital strategy, or marketing technology
  • Strong understanding of search, media ecosystems, and data signals, with curiosity and fluency in AI/LLMs
  • Ability to translate complex technical concepts into clear business implications
  • Proven cross-functional leadership experience (Brand, Media, Analytics, IT, Legal, PR)
  • Comfort operating in ambiguity and building new processes from scratch
  • Preferred experience with AI platforms, LLM tools, marketing automation, or advanced analytics
  • Preferred familiarity with retail media, eCommerce content, and digital shelf dynamics
  • Preferred background in governance, risk management, or platform standards is a plus
  • CPG or regulated-category experience preferred

Our Story.

With over 2,400+ employees and net sales of nearly $1.8 billion, Sargento is a family-owned company that has been a leader in cheese for more than 70 years.  We created the world’s first, successful pre-packaged sliced and shredded natural cheeses.  Sargento is based in Plymouth, Wisconsin, where we manufacture and market shredded, sliced and snack natural cheese products, as well as ingredients and sauces.  Sargento is known for the exceptional quality of our products and for product design, packaging and merchandising innovations that have transformed our industry.

To learn more about our culture and values, please visit our website at https://careers.sargento.com/us/en.

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Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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About Sargento

Sourced by ZipRecruiter

Industry

Food and drink manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Plymouth, WI, US

Year founded

1953