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Ai Risk Jobs in Queens, NY (NOW HIRING)

Jobtailor

Lead AI Risk Advisor

Manhattan, NY · On-site

$170 - $250/hr

Oversee departmental projects and initiatives focused on AI governance maturity, control enhancement, automation, and process optimization * Facilitate cross‑functional risk credible challenge ...

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$77

How much do ai risk jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for ai risk in Queens, NY is $31.65, according to ZipRecruiter salary data. Most workers in this role earn between $20.34 and $40.38 per hour, depending on experience, location, and employer.

What is the difference between Ai Risk vs Data Scientist?

AspectAi RiskData Scientist
Required CredentialsBackground in AI, risk management, certifications in AI safetyDegree in Computer Science, Statistics, or related fields; certifications in data analysis
Work EnvironmentRisk assessment teams, AI development projects, regulatory settingsData analysis teams, research labs, tech companies
Employer & Industry UsageTech firms, AI safety organizations, regulatory agenciesTech companies, finance, healthcare, research institutions
Common Search & Comparison IntentUnderstanding AI risk roles, career differencesData analysis careers, AI safety roles

Ai Risk professionals focus on identifying and mitigating risks associated with artificial intelligence systems, often working in safety, ethics, and regulatory contexts. Data Scientists analyze large datasets to extract insights, build models, and support decision-making across various industries. While both roles require technical skills, Ai Risk emphasizes safety and ethical considerations, whereas Data Scientists focus on data analysis and modeling.

What are the most commonly searched types of Ai Risk jobs in Queens, NY?

The most popular types of Ai Risk jobs in Queens, NY are:

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For Ai Risk jobs in Queens, NY, the most frequently searched job titles are:

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The top searched job categories for Ai Risk jobs in Queens, NY are:

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Cities near Queens, NY with the most Ai Risk job openings:

Ai Risk jobs near you
Infographic showing various Ai Risk job openings in Queens, NY as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, 1% Temporary, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $65,842 per year, or $31.7 per hour.

CRO - AI Risk Governance & Operations Lead

Bloomberg LP

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago

Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

12th of 246 rated software companies

Job description

CRO - AI Risk Governance & Operations Lead
Location
New York
Business Area
Legal, Compliance, and Risk
Ref #
10052439
Description & Requirements
The energy of a newsroom, the pace of a trading floor, the buzz of a recent tech breakthrough; we work hard, and we work fast, while keeping up the quality and accuracy we are known for. It is what keeps us inventing and reinventing, all the time. Our culture is wide open, just like our spaces. We bring out the best in each other through collaboration. Through our countless volunteer projects, we also help network with the communities around us. You can do amazing work here. Work you could not do anywhere else. It is up to you to make it happen.
Bloomberg's Chief Risk Office plays a central role in ensuring that innovation is pursued responsibly across our global operations. As AI becomes increasingly embedded in Bloomberg's products, platforms, internal workflows, and enterprise capabilities, the Chief Risk Office is focused on building repeatable, scalable, and measurable processes to govern AI risk across the firm.
What's the role?
We are seeking an AI Risk Governance Operations Lead to help run the operational backbone of Bloomberg's AI risk management program. This person will help manage the day-to-day processes that make AI risk governance effective, including inventory intake, workflow coordination, AI risk documentation, meeting operations, KRI/KPI development and reporting, issue tracking, control evidence, process improvement, and stakeholder follow-up.
This role is important because a strong AI risk program cannot operate on advisory expertise alone. It needs disciplined execution, reliable records, clear handoffs, consistent reporting, and operational muscle. The ideal candidate will have familiarity with AI systems and related risks and be highly organized, process-oriented, comfortable working across teams, and able to bring structure to a fast-moving risk area.
We'll trust you to:
Program Operations and Process Management
  • Manage day-to-day operations for Bloomberg's AI risk governance processes, including intake, tracking, workflow management, documentation, stakeholder follow-up, and reporting.

  • Support the operation of AI governance forums, working groups, and review processes, including agenda development, materials preparation, decision logs, action tracking, and follow-ups.

  • Maintain program trackers, risk registers, issue logs, control evidence repositories, and management reporting materials.

  • Help ensure AI use cases, systems, tools, and third-party solutions move through the appropriate governance process in a timely, consistent, and well-documented manner.

  • Identify process gaps, bottlenecks, and opportunities to simplify or automate program operations.

Inventory, Documentation, and Reporting
  • Support the maintenance of Bloomberg's AI inventory, including completeness checks, metadata quality, classification status, risk-tiering information, ownership, and lifecycle status.

  • Coordinate documentation collection and quality review for AI risk assessments, approvals, control evidence, risk acceptances, issues, and remediation plans.

  • Prepare regular reporting for AI risk governance forums, senior stakeholders, and management updates.

  • Help develop dashboards, metrics, key risk indicators, and operational indicators to measure program health and risk trends.

Cross-Functional Coordination
  • Partner with AI risk advisory, Technology, Product, Legal, Compliance, CISO, Privacy, Data, Procurement, and business teams to coordinate reviews and resolve process questions.

  • Track dependencies across stakeholders and ensure timely escalation of overdue items, blocked reviews, or emerging operational risks.

  • Translate governance requirements into practical checklists, workflows, templates, and process guidance.

Controls, Issues, and Continuous Improvement
  • Support issue management, remediation tracking, control evidence collection, and audit readiness for AI risk governance activities.

  • Assist with the design and refinement of standard operating procedures, playbooks, templates, and program artifacts.

  • Help evaluate tools and automation opportunities that improve AI inventory management, workflow routing, documentation, reporting, and control monitoring.

  • Support training, awareness, and enablement activities by coordinating materials, communications, attendance, completion tracking, and feedback.

You'll need to have:
  • 5+ years of experience in risk operations, technology risk, program management, governance, compliance operations, audit support, business operations, or project management.

  • Experience supporting governance processes, risk committees, control programs, regulatory initiatives, audit activities, or enterprise risk programs.

  • Strong organizational skills and attention to detail, including experience managing trackers, documentation, action logs, issues, workflows, and reporting materials.

  • Ability to coordinate across technical, legal, compliance, risk, and business stakeholders in a fast-paced environment.

  • Strong written and verbal communication skills, including the ability to summarize status, risks, actions, and decisions clearly.

  • Comfort working with data, dashboards, workflow tools, and enterprise productivity platforms.

  • Familiarity with technology risk, AI, data governance, model governance, privacy, security, or third-party risk concepts.

  • A process-improvement mindset and ability to identify ways to make governance more scalable, repeatable, and user-friendly.

We'd love to see:
  • Experience supporting an AI governance, model risk, technology risk, cyber risk, privacy, data governance, or responsible AI program.

  • Familiarity with AI inventories, model inventories, risk assessment workflows, GRC platforms, Jira, Confluence, ServiceNow, Archer, OneTrust, or similar tools.

  • Experience creating dashboards, metrics, or management reporting for senior stakeholders.

  • Experience supporting audit, regulatory exam, or control evidence collection processes.

  • Familiarity with NIST AI RMF, EU AI Act, ISO/IEC 23894, GDPR, CPRA, or similar frameworks.

  • Strong facilitation skills and the ability to keep complex cross-functional processes moving.

Salary Range = 185,000 - 245,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.

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About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981

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