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Director Cyber Security Machine Learning Jobs in Houston, TX

Experience applying artificial intelligence (AI), machine learning (ML), and advanced data engineering to cybersecurity use cases, including detection and cyber threat response acceleration

Cyber - AWS Cloud Security - Manager

Houston, TX · On-site

$106K - $143K/yr

... cybersecurity * Experience with container security, application security, or DevSecOps practices * Experience securing machine learning, generative AI, or agentic AI workloads and pipelines on AWS ...

Senior Security Engineer

Houston, TX · On-site

$109K - $149K/yr

AI & Machine Learning for Cybersecurity * Security Automation & Orchestration * Threat Detection & Detection Engineering * Security Data Lakes & Analytics * REST APIs & Platform Integration * Cloud ...

AI Security Architect

Houston, TX · Hybrid

$62 - $80.25/hr

... in cybersecurity, security architecture, or cloud security * 3+ years of experience securing AI, machine learning, data science, or advanced analytics platforms Preferred Qualifications

The director will lead and mentor a team of data scientists and AI engineers to build and ... Machine Learning & AI: Deep learning, NLP, generative AI, predictive analytics, reinforcement ...

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Showing results 1-20

Director Cyber Security Machine Learning information

See Houston, TX salary details

$38.7K

$117.4K

$171.9K

How much do director cyber security machine learning jobs pay per year?

As of Aug 11, 2026, the average yearly pay for director cyber security machine learning in Houston, TX is $117,356.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,400.00 and $135,600.00 per year, depending on experience, location, and employer.

What is the difference between Director Cyber Security Machine Learning vs Cyber Security Data Scientist?

AspectDirector Cyber Security Machine LearningCyber Security Data Scientist
Required CredentialsBachelor's/Master's in CS, Cybersecurity, or related; certifications like CISSP, CEH; experience in ML and securityBachelor's/Master's in CS, Data Science, or related; certifications like CISSP, GIAC; strong data analysis skills
Work EnvironmentLeads security teams, develops ML models for threat detection, strategic planningAnalyzes security data, develops models, supports security teams with insights
Employer & Industry UsageUsed in cybersecurity firms, large enterprises, government agenciesCommon in tech companies, cybersecurity firms, research institutions

The main difference is that the Director Cyber Security Machine Learning oversees security teams and strategic ML initiatives, while the Cyber Security Data Scientist focuses on analyzing data and developing models to support security operations.

What cities near Houston, TX are hiring for Director Cyber Security Machine Learning jobs? Cities near Houston, TX with the most Director Cyber Security Machine Learning job openings:
Infographic showing various Director Cyber Security Machine Learning job openings in Houston, TX as of August 2026, with employment types broken down into 75% Full Time, 19% Part Time, 2% Temporary, and 4% Contract. Highlights an 96% In-person, 2% Hybrid, and 2% Remote job distribution, with an average salary of $117,356 per year, or $56.4 per hour.

Cybersecurity Governance Analyst

Smarter HR Solutions LLC

Houston, TX

$43 - $46/hr

Full-time

Posted 28 days ago


Job description

***Please note: This position is onsite and not remote. Candidates must be based in the Houston area, as relocation assistance is not provided. Only individuals authorized to work in the U.S. without sponsorship will be considered.***

Job Title: Cybersecurity Governance Analyst
Job Type: Contract (this role is a 12-month assignment)
Job Salary: $43-$46/hour (DOE)
Job Schedule: M-F, 40 hrs/week
Job Location: Houston, TX 77002

Pre-Employment Requirements: Successful completion of a background check, drug screening, and any applicable assessments

Job Summary

We are seeking a Cybersecurity Governance Analyst to support the development and maturity of an enterprise AI governance and cybersecurity program. This role will assist with AI security standards, risk assessments, vendor reviews, compliance documentation, and responsible technology adoption.

The ideal candidate will have experience in cybersecurity, GRC, privacy, audit, technology risk, or information security, with exposure to AI governance, generative AI, machine learning, or emerging technology risk preferred.

Key Responsibilities
  • Support the development of AI governance, security, and risk management processes.
  • Perform security, privacy, compliance, and technology risk assessments for AI tools and solutions.
  • Evaluate AI use cases for cybersecurity, privacy, legal, ethical, operational, and compliance risks.
  • Review vendor security documentation, data-handling practices, privacy controls, and contractual security requirements.
  • Develop and maintain AI security standards, procedures, guidelines, and governance documentation.
  • Assist with maintaining an inventory of AI systems, tools, vendors, models, and use cases.
  • Recommend controls to mitigate risks related to AI data use, model outputs, third-party tools, and sensitive information.
  • Collaborate with Information Security, GRC, Legal, Privacy, Procurement, Enterprise Architecture, and business stakeholders.
  • Monitor emerging AI threats, vulnerabilities, regulations, and industry best practices.
  • Prepare reports, briefings, documentation, and recommendations for leadership.


Requirements
Required Qualifications
  • Bachelor’s degree in Cybersecurity, IT, Computer Science, Information Systems, Risk Management, Data Science, Business Administration, or a related field.
  • 3–5+ years of experience in cybersecurity, information security, technology risk, GRC, privacy, audit, or a related area.
  • Knowledge of cybersecurity risk assessments, security controls, governance processes, and compliance practices.
  • Understanding of AI, machine learning, generative AI, large language models, or emerging technology concepts.
  • Experience reviewing systems, applications, vendors, or technology solutions for security, privacy, compliance, or operational risk.
  • Strong analytical, documentation, communication, and stakeholder collaboration skills.
Preferred Qualifications
  • Experience with AI governance, responsible AI, AI security, or emerging technology risk.
  • Experience conducting vendor risk assessments or third-party security reviews.
  • Familiarity with cybersecurity, privacy, AI governance, or risk management frameworks.
  • Experience in government, public sector, critical infrastructure, or highly regulated environments.
  • Relevant certifications in cybersecurity, privacy, audit, risk management, cloud security, or AI governance are a plus.