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Ai Risk Analyst Jobs in Santa Rosa, CA (NOW HIRING)

Fabrion

Data Partnerships Analyst

Bodega Bay, CA · On-site

About the Role We're building an AI-native platform where industrial data becomes actionable ... Understanding of trade data, entity mapping, risk and compliance frameworks (REACH, RoHS, ESG ...

Buck Institute

AI Data Scientist-Furman lab

Novato, CA · On-site

$60K - $75K/yr

... related disease risk. This role will help develop innovative AI-enabled systems for organizing, harmonizing, analyzing, modeling, and interpreting large datasets generated across multiple ...

Readdy

Founding AI PM

Sonoma, CA · On-site

$200K - $250K/yr

Prototype rapidly using AI tools, no-code, or lightweight builds to de-risk decisions * Drive full ... Deep user empathy paired with sharp analytical thinking * Fluent in English; working proficiency in ...

Readdy

Founding AI PM

Santa Rosa, CA · On-site

$200K - $250K/yr

Prototype rapidly using AI tools, no-code, or lightweight builds to de-risk decisions * Drive full ... Deep user empathy paired with sharp analytical thinking * Fluent in English; working proficiency in ...

Block

Staff Data Scientist, Pricing

Bodega Bay, CA

Decompose merchant economics across interchange, scheme, and risk-cost layers to identify where ... Comfort leveraging AI tools to accelerate modeling and analysis, and a working understanding of ...

Ztek Consulting INC

SAM Manager

Bodega Bay, CA · On-site

Lead enterprise-wide sourcing initiatives for software, SaaS, cloud, AI, infrastructure, and ... Analyze software spend, utilization trends, license optimization opportunities, and ROI metrics.

Doxel

Senior Platform Engineer, Security

Bodega Bay, CA

$175K - $220K/yr

Action on improving security and compliance through a risk based approach implementing SOC2 ... AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes ...

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All JobsAi Risk Analyst JobsAi Risk Analyst Jobs in Santa Rosa, CA

Ai Risk Analyst information

See Santa Rosa, CA salary details

$16

$44

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How much do ai risk analyst jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for ai risk analyst in Santa Rosa, CA is $44.26, according to ZipRecruiter salary data. Most workers in this role earn between $32.60 and $53.89 per hour, depending on experience, location, and employer.

How does an AI risk analyst 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 skills and qualifications are needed to be an AI risk analyst?

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 is an AI risk analyst?

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 are popular job titles related to Ai Risk Analyst jobs in Santa Rosa, CA? For Ai Risk Analyst jobs in Santa Rosa, CA, the most frequently searched job titles are:
What job categories do people searching Ai Risk Analyst jobs in Santa Rosa, CA look for? The top searched job categories for Ai Risk Analyst jobs in Santa Rosa, CA are:
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Ai Risk Analyst jobs near you
Infographic showing various Ai Risk Analyst job openings in Santa Rosa, CA as of July 2026, with employment types broken down into 64% Full Time, 27% Part Time, and 9% Contract. Highlights an 59% Physical, 3% Hybrid, and 38% Remote job distribution, with an average salary of $92,069 per year, or $44.3 per hour.

Data Partnerships Analyst

Fabrion

Bodega Bay, CA • On-site

Full-time

Re-posted 20 days ago

Job description

Data Partnerships Analyst

Location: San Francisco Bay Area
Type: Full-Time
Compensation: Competitive salary + early-stage equity

Backed by 8VC, we’re building a world-class team to tackle one of the industry's most critical infrastructure problems.

About the Role

We’re building an AI-native platform where industrial data becomes actionable through semantic enrichment, intelligent agents, and governed interoperability. At the heart of this architecture lies our Data Fabric — an intelligent, governed layer that unifies fragmented and siloed data streams into knowledge graphs ready for high context decision-making and agentic execution.

The Data Partnerships Analyst will be on the front lines of this strategy: researching, evaluating, and supporting partnerships with leading data providers (trade, compliance, entity mapping, financial, ESG, geopolitical, etc). You’ll play a critical role in mapping data ecosystems, structuring partnerships, and ensuring Fabrion’s platform is powered by the most complete, high-quality, and strategically differentiated data.

This role is ideal for someone with sharp analytical skills, a curiosity for data-driven businesses, and a strong interest in how AI and partnerships intersect to transform global value chains.

Responsibilities

  • Market Landscaping & Research: Identify, track, and evaluate relevant data providers across global markets.

  • Deal Support: Assist in structuring partnership discussions, including preparing briefs, evaluating contract terms, and surfacing risks or dependencies.

  • Data Evaluation: Assess sample datasets for coverage, quality, refresh frequency, schema design, and interoperability with Fabrion’s knowledge graphs.

  • Partnership Pipeline: Maintain CRM-style tracking of outreach, engagements, and deal status across priority providers.

  • Competitive Intelligence: Benchmark competitors’ data strategies and build landscape views of potential threats and opportunities.

  • Cross-Team Collaboration: Work with product, engineering and legal teams to translate data partnership requirements into technical and contractual frameworks.

What We’re Looking For

Core Experience

  • 3+ years experience in research, consulting, corporate strategy, business development or partnerships.

  • Experience in the automotive industry, particularly at an OEM and/or Tier 1 supplier, is a huge plus.

  • Strong analytical skills; comfort with messy datasets, Excel/Sheets, and SQL/Python basics.

  • Excellent communication and synthesis skills — able to distill complex market landscapes into crisp takeaways.

  • Exposure to B2B SaaS, data vendors, or enterprise technology ecosystems preferred.

Mindset

  • Systems thinker: curious about how fragmented datasets connect into real-world decision and execution systems.

  • Comfortable navigating ambiguity and building processes from scratch.

  • High ownership: proactive, organized, and reliable in pushing workstreams forward.

  • Excited to work closely with founders and investors in a fast-paced, high-stakes environment.

Bonus Skills

  • Prior experience evaluating or working with data providers (e.g., S&P, D&B, etc).

  • Understanding of trade data, entity mapping, risk and compliance frameworks (REACH, RoHS, ESG, sanctions).

  • Familiarity with data licensing, APIs, or data feeds.

  • Prior exposure to supply chain, automotive, or industrial domains.

Why This Role Matters

Our platform’s intelligence is only as strong as the data it is built on. The Data Partnerships Analyst helps ensure Fabrion gains early access to the most critical and differentiated data sources.

This role gives you direct exposure to startup founders, investors, and senior executives at leading data providers. You’ll develop a unique perspective at the intersection of data, AI, and industrial transformation, while shaping the partnerships that power Fabrion’s AI agents.

If you’re excited to map the global data landscape, help secure strategic partnerships, and build the foundation of an AI-native enterprise platform, we’d love to hear from you!