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Ai Risk Analyst Jobs in Wisconsin (NOW HIRING)

... Risk. This role is accountable for turning AI capabilities into market-ready products, client ... Analyze banking segments by size, AUM, and needs to define target markets * Develop solution ...

Underwriting Analyst

Madison, WI · On-site +1

$50 - $65/hr

Translate complex underwriting data, such as medical disclosures and risk scores, into actionable ... By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails ...

... and risk while supporting Exact Sciences' strategic objectives. Essential Duties Include, but are not limited to, the following: * Leverage advanced analytics, AI tools, and data visualization ...

Conduct audits in accordance with the risk-based annual plan, including financial, operational, SOX ... Experience using AI tools to enhance engagement efficiency and effectiveness. Candidates must be ...

Senior AI Engineer

Brookfield, WI · On-site

$97K - $134K/yr

The firm is focused on delivering long-term, tax-efficient, risk-adjusted returns through ... Analytics) to measure: * Accuracy, groundedness, and reasoning quality * Drift, latency, and ...

Senior AI Engineer

Brookfield, WI · Remote

$97K - $134K/yr

The firm is focused on delivering long-term, tax-efficient, risk-adjusted returns through ... Analytics) to measure: * Accuracy, groundedness, and reasoning quality * Drift, latency, and ...

Build multi-agent systems that coordinate document review, coverage analysis, compliance checks ... Sedgwick is the world's leading risk and claims administration partner, which helps clients thrive ...

Senior Tax Analyst - Technology

Milwaukee, WI · Hybrid

$114K - $114K/yr

... and risk management across the Global Tax organization. What You'll Be Brewing: * Serve as a ... Stay current on emerging trends in data analytics, automation, AI, and tax technology, and ...

Senior Tax Analyst - Technology

Milwaukee, WI · Hybrid

$114K - $114K/yr

... and risk management across the Global Tax organization. What You'll Be Brewing: * Serve as a ... Stay current on emerging trends in data analytics, automation, AI, and tax technology, and ...

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Ai Risk Analyst information

See Wisconsin salary details

$15

$40

$66

How much do ai risk analyst jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for ai risk analyst in Wisconsin is $40.86, according to ZipRecruiter salary data. Most workers in this role earn between $30.10 and $49.76 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 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.
What cities in Wisconsin are hiring for Ai Risk Analyst jobs? Cities in Wisconsin with the most Ai Risk Analyst job openings:
Executive Director, AI and Enterprise Data Management

Executive Director, AI and Enterprise Data Management

Arrowhead Pharmaceuticals

Madison, WI • On-site

Full-time

Posted 18 days ago


Job description

Job Summary:
Arrowhead Pharmaceuticals is a commercial stage biopharmaceutical company focused on developing innovative drugs using RNA interference technology. The Executive Director of AI and Enterprise Data Management will lead the strategy and deployment of AI and data capabilities across the organization, enhancing operational efficiency and ensuring compliance with regulations.
Responsibilities:
• Define and execute a unified enterprise data and AI strategy aligned with company growth and R&D and commercialization goals
• Identify high-impact AI and data opportunities across all functions (R&D, Clinical, CMC, Manufacturing, G&A and etc.)
• Drive executive alignment on AI and data strategy, including opportunities, risks, and investment priorities
• Lead the design and implementation of an enterprise data platform enabling data integration across R&D, CMC, Clinical, and commercial domains
• Establish scalable data architecture to support real-time pipelines, advanced analytics, machine learning, agentic AI workflows, and AI-driven insights
• Enable interoperability and data sharing across previously siloed systems
• Define and own the enterprise AI acceptable-use policy, responsible AI framework, and guardrails for LLM deployment in regulated (GxP) workflows
• Ensure alignment with emerging regulatory guidance on AI/ML (FDA AI framework, NIST AI RMF, ISO 42001) and maintain audit-ready documentation for AI systems in regulated contexts
• Establish AI model lifecycle governance including validation, performance monitoring (LLMOps), and deprecation procedures
• Partner with Legal, Compliance, and Information Security to manage AI vendor risk and data privacy obligations
• Establish enterprise data governance frameworks including ownership, stewardship, data classification, quality standards, and lifecycle management
• Ensure compliance with regulatory requirements including GMP, GLP, GCP, SOX and data integrity standards
• Partner with Information Security to implement robust data protection, privacy, and AI governance guardrails
• Partner with IS and business function leaders to identify opportunities for data integration and AI-driven value creation
• Act as a bridge between technical and non-technical stakeholders to ensure adoption and impact
• Partner with business and IS leaders to prioritize, design, and deploy AI solutions that improve decision-making and operational efficiency
• Oversee development and scaling of AI agents and technology across functions such as Commercial, Finance, HR, and Legal
• Manage strategic relationships with AI vendors and development partners, including contracting, performance oversight, and alignment to enterprise standards
• Ensure all AI tools and vendors comply with security, data governance, and regulatory requirements in partnership with Information Security and Legal
• Build and lead a high-performing, multidisciplinary team spanning data engineering, data science, AI/ML, and informatics
• Integrate and scale the existing digital workspace/agent experimentation team into a formal enterprise function
• Foster a culture of innovation, collaboration, and continuous learning
Qualifications:
Required:
• 12+ years of experience in data, analytics, AI/ML, or informatics leadership roles
• Bachelor’s degree in Computer Science, Data Science, Engineering, Life Sciences, or a related field.
• Proven experience building and scaling enterprise data platforms and AI capabilities
• Experience in life sciences, biotechnology, pharmaceutical industry, or technology industry
• Demonstrated success operating in regulated environments
• Experience supporting commercial-stage organizations or scaling companies
• Deep understanding of modern data architectures, cloud platforms, and AI/ML technologies
• Strong business acumen with ability to translate strategy into execution
• Experience leading cross-functional transformation initiatives
• Ability to balance innovation with risk management and compliance
Preferred:
• Advanced Degree in Data Science, Engineering, Life Sciences or Business.
• Pharmaceutical industry experience
Company:
Arrowhead Pharmaceuticals is a biotechnology company that focuses on the development of medicine to treat diseases with a genetic origin. Founded in 1989, the company is headquartered in Pasadena, USA, with a team of 501-1000 employees. The company is currently Late Stage.