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Ai Risk Analyst Jobs in Washington (NOW HIRING)

AMA Consulting, LLC, a Maryland-based Limited Liability Company, provides analytical, acquisition ... Develop AI risk assessment frameworks for federal mission environments. * Establish policies for ...

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Ai Risk Analyst information

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$17

$45

$74

How much do ai risk analyst jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for ai risk analyst in Washington is $45.85, according to ZipRecruiter salary data. Most workers in this role earn between $33.75 and $55.82 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.
What cities in Washington are hiring for Ai Risk Analyst jobs? Cities in Washington with the most Ai Risk Analyst job openings:
Infographic showing various Ai Risk Analyst job openings in Washington as of July 2026, with employment types broken down into 74% Full Time, 24% Part Time, and 2% Contract. Highlights an 65% Physical, 5% Hybrid, and 30% Remote job distribution, with an average salary of $95,375 per year, or $45.9 per hour.

Head of AI Platform and Data Risk Management - Technology and Operations Risk Management - Senior...

Fanniemae

Reston, VA • On-site

Full-time

Medical, Life

Posted 6 days ago


Job description

Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home.

Job Description

We are seeking a strategic and forwardthinking leader to serve as the Head of Data Platform & AI First Line Risk Management, responsible for building and leading a bestinclass first line risk management function within our technology and data organization. This role oversees risk management for enterprise data platforms, AI/ML systems, and emerging technologies-ensuring innovation is delivered responsibly through strong governance, proactive risk identification, and integrated, scalable control design.

You will play a critical role in shaping Fannie Mae's data and AI risk governance strategy and trusted AI risk management framework, partnering closely with senior leaders to strengthen enterprise risk management practices and guardrails across platforms and technologies

Position is based out of Plano, TX. Fannie Mae does provide the opportunity for relocation assistance.

The Impact You Will Make

You will enable responsible AI and data innovation by embedding strong governance, controls, and risk discipline directly into technology and platform lifecycles.

Key Responsibilities

  • Define and execute the vision, strategy, and roadmap for Data Platform and AI first line risk management.
  • Build and lead a highperforming team of risk professionals aligned to data, AI, and platform domains.
  • Partner with senior technology, data, and business leaders to embed risk management into product, platform, and engineering lifecycles.
  • Act as a trusted advisor to executive leadership on AI, data, and emerging technology risks, including evolving regulatory expectations.
  • Establish and mature risk frameworks for:
    • AI/ML models and agentbased systems
    • Enterprise data platforms (data lakes, warehouses, streaming, and cloud ecosystems)
    • Data governance, privacy, and model risk
  • Drive proactive risk identification, assessment, and mitigation across the technology and data stack.
  • Oversee risk appetite alignment, issue management, and control effectiveness.
  • Lead governance for responsible and trusted AI, including explainability, bias and fairness, transparency, thirdparty and vendor AI risk, and controls for agentic and autonomous systems.
  • Design and embed scalable, automated firstline controls into platforms and engineering workflows, including CI/CD pipelines, data pipelines, and AI lifecycle processes.
  • Ensure controls are measurable, testable, and aligned to enterprise standards.
  • Collaborate closely with secondline risk, compliance, audit, and regulatory partners.
  • Represent the function in governance forums, risk committees, and executive reviews.

Qualifications

  • 15+ years of experience in technology risk, data risk, AI risk, operational risk, or related disciplines.
  • Deep understanding of first line risk management within highly regulated organizations.
  • Proven leadership experience building and scaling risk or technology functions.
  • Familiarity with AI governance frameworks and regulatory expectations.
  • Executive presence with the ability to influence senior and Csuite stakeholders.
  • Strong strategic thinking combined with handson execution capability.
  • Bachelor's degree required.
  • Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work.

Preferred Qualifications

  • Advanced degree (MBA, MS in Data/AI, or related field)

Qualifications

Active Directory (AD), Active Directory (AD), Alteryx, Amazon Web Services (AWS), Application Development, Artificial Intelligence (AI), Atlassian JIRA, Authentication Management, Backup and Recovery (Software), Business Insight Skills, Business Process Management Skills, Cleaning and Transforming Data, Cloud Services Management, Cloud Technology, Collaborating Cross-Functionally, Communication, Configuration Management (CM), Conflict Resolution, Data Analysis, Data Analysis Interpretation, Database Management, Data Governance, Data Lake, Data Mining, Data Pipelines {+ 26 more}

Education:

Bachelor's Level Degree (Required), Master's Level Degree

The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers.

For most roles, employees are expected to work onsite on a regular basis at their designated office location. In-office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote.


Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process, please complete this form.

The hiring range for this role is set forth below. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee's physical, mental, emotional, and financial well-being. See more here.

Requisition compensation:

200000

to

269000