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Ai Risk Manager Jobs in Dallas, TX (NOW HIRING)

Northern Base

Gen AI Assessment Specialist

Irving, TX · On-site

... risk analysis ✔ Expertise in designing, implementing, and validating security guardrails for GenAI platforms and AI use cases ✔ Experience assessing Identity & Access Management (IAM ...

Pwc

Data Validation Risk - Manager

Dallas, TX · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Validation Risk Manager, you will play a pivotal role within our Risk ...

Scotiabank

Director, AI Enablement

Dallas, TX · On-site

... risk management, and responsible AI practices. • Establish enterprise standards for AI adoption, enablement, value realization, and capability maturity. • Partner with executive leadership to ...

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Showing results 21-40

All JobsAi Risk JobsAi Risk Manager JobsAi Risk Manager Jobs in Dallas, TX

Ai Risk Manager information

See Dallas, TX salary details

$50.9K

$110.4K

$168.2K

How much do ai risk manager jobs pay per year?

As of Aug 9, 2026, the average yearly pay for ai risk manager in Dallas, TX is $110,355.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $127,600.00 per year, depending on experience, location, and employer.

How much do AI risk managers make?

AI risk managers typically earn between $100,000 and $180,000 annually, depending on experience, education, and location. Senior roles or those in high-demand industries can offer higher salaries, often supplemented with bonuses and benefits. Strong knowledge of AI systems, risk assessment, and compliance are key skills for this role.

What does an AI risk manager do?

An AI risk manager assesses and mitigates potential risks associated with artificial intelligence systems, including ethical, safety, and compliance concerns. They develop strategies to ensure AI models operate reliably and responsibly, often working with data scientists and engineers to implement risk management frameworks and monitor AI performance. Strong analytical skills and knowledge of AI ethics, regulations, and tools are essential for this role.

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

AspectAi Risk ManagerData Scientist
Required CredentialsTypically requires a degree in risk management, AI, or related fields; certifications in AI or risk management are commonRequires a degree in computer science, statistics, or related fields; certifications in data analysis or machine learning are common
Work EnvironmentWorks in financial, insurance, or tech industries focusing on AI risk assessment and mitigationWorks across industries analyzing data, building models, and deriving insights
Employer & Industry UsageUsed by organizations managing AI deployment risks, especially in regulated sectorsUsed by companies developing AI solutions, data-driven products, and analytics teams

The main difference is that an Ai Risk Manager focuses on identifying and mitigating risks associated with AI systems, often requiring knowledge of risk management and AI ethics. In contrast, a Data Scientist primarily analyzes data and builds models to extract insights, with less emphasis on risk mitigation. Both roles may overlap in AI projects but serve distinct functions within organizations.

Is AI going to replace AI Risk Manager jobs?

AI Risk Managers analyze and mitigate risks associated with artificial intelligence systems, a role that requires specialized knowledge of AI technologies, ethics, and compliance. While AI tools can assist in risk assessment, the job involves strategic decision-making and oversight that are unlikely to be fully automated in the near future.
What are popular job titles related to Ai Risk Manager jobs in Dallas, TX? For Ai Risk Manager jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Ai Risk Manager jobs in Dallas, TX look for? The top searched job categories for Ai Risk Manager jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Ai Risk Manager jobs? Cities near Dallas, TX with the most Ai Risk Manager job openings:
Ai Risk Manager jobs near you
Infographic showing various Ai Risk Manager job openings in Dallas, TX as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $110,355 per year, or $53.1 per hour.

Senior AI Governance Specialist

Logicplanet, Inc.

Dallas, TX • On-site

$65/hr

Other

Posted 12 days ago

Job description

Position: Senior AI Governance Specialist

Location : Dallas, TX or Maine --Day1onsite 

for subcon -$65/hr 

 

Senior AI Governance Specialist to establish, scale, and oversee the governance framework for our enterprise wide Generative AI and autonomous agent initiatives.

In this role, you will bridge the gap between technical execution and corporate compliance. You will design guardrails for cutting edge LLM platforms while proving financial and operational business value directly to executive leadership.

Key Responsibilities

1. AI Risk, Compliance & Responsible AI

  • Design and enforce the enterprise wide Responsible AI framework, ensuring ethical alignment, bias mitigation, and transparency.
  • Establish comprehensive risk assessment protocols for Generative AI, Large Language Models (LLMs), and multi agent systems.
  • Ensure strict compliance with evolving global AI regulations, data privacy mandates, and corporate legal requirements. 

2. Autonomous Agent & Data Governance

  • Define policy and architectural boundaries for autonomous AI agents, including tool execution permissions and escalation protocols.
  • Architect data governance strategies specifically tailored for AI training, fine tuning, and retrieval augmented generation (RAG).
  • Manage access controls, model version ownership, and secure API data exchange between enterprise systems.

3. Value Realization & Financial Performance

  • Develop methodologies to quantify and track the Return on Investment (ROI) for enterprise AI deployments.
  • Identify key performance indicators (KPIs) to measure efficiency gains, cost reductions, and revenue generation from GenAI initiatives.
  • Monitor token usage efficiency and compute costs to drive optimization without sacrificing model quality. 

4. Executive Reporting & Enterprise Transformation

  • Translate complex AI technical risks and performance metrics into clear, actionable executive level dashboards.
  • Advise C suite leadership and board members on strategic AI risks, maturity roadmaps, and competitive alignment.
  • Drive organizational change management to cultivate an AI ready, compliance first corporate culture. 

Required Experience & Technical Familiarity

  • GenAI Expertise: Deep conceptual understanding of LLM architectures, fine tuning, RAG frameworks, and autonomous multi agent lifecycles.
  • Governance Tools: Hands on experience with AI governance software, automated model monitoring platforms, and risk management suites.
  • Data Privacy: Proven track record handling enterprise data protection, lineage mapping, and intellectual property guardrails in cloud environments.
  • Strategic Communication: Elite presentation skills with a history of delivering complex regulatory and financial reports to senior executive

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