Sr AI & Technology Auditor II

Tailored Brands, Inc.; Houston (TX); On-site; USD 110,000 - 170,000; Full time

Job summary

Tailored Brands, Inc. is seeking an experienced AI Audit Lead to conduct specialized audits of Generative and Agentic AI systems across their lifecycle.

You will review data provenance, privacy, and bias mitigation in consumer datasets used for marketing and loyalty programs, and assess model design, validation, and explainability to ensure accurate automated retail decisions. Collaborate with Data Science, Engineering, and Legal teams to identify control gaps and deliver actionable

Qualifications

• 8+ years of experience in technology audit, IT risk management, or data science.
• Exceptional ability to influence stakeholders and explain AI risks to non-technical leaders.
• Certifications: CISA, CISSP, or AI governance credentials.

Responsibilities

• Lead audits of Generative AI and Agentic AI systems across their lifecycle.
• Review data provenance, privacy, and bias mitigation for AI training data used in marketing and loyalty programs.
• Prepare audit reports for VP Internal Audit and senior leadership translating tech risks to business impact.

Skills

AI auditing

IT risk management

Stakeholder influence

Education

Bachelor's degree in CS/DS/IS

Tools

Python

SQL

NIST AI RMF

ITGC

Job description

Responsibilities

Lead and execute specialized audits of Generative AI (LLMs) and Agentic AI systems throughout their lifecycle, ensuring compliance with emerging global AI regulations. Review the provenance, quality, and privacy of consumer datasets used for training and inference, ensuring mitigation of bias in personalized marketing and loyalty programs. Assess the rigor of AI model design, validation, and explainability (XAI) to ensure accuracy in automated retail decisions (e.g., inventory forecasting or dynamic pricing). Evaluate controls around deployment, performance drift detection, and incident response for AI agents interacting with customers or vendors. Identify risks related to hallucinations, data leakage, intellectual property, and fairness in automated hiring or credit-offer systems.

Collaborate with Data Science, Engineering, and Legal teams to identify control gaps and provide actionable, value-added recommendations that support retail agility. Prepare high-quality, impactful audit reports for the VP of Internal Audit and senior leadership, translating complex technical risks into business impact.

Serve as the internal consultant for AI risk, staying current on the evolving regulatory org landscape (e.g., EU AI Act) and its impact on the retail sector. Assess the completeness and effectiveness of AI governance frameworks, including model inventory, risk tiering, approval workflows, and alignment to enterprise policies.

Evaluate controls over third-party AI solutions, including vendor governance, model transparency, data usage, model cards, training disclosures, usage limitations, contractual safeguards, and audit rights for internally developed and third-party AI model Design and evolve audit programs.

Assess whether AI-enabled systems introduce risks to financial reporting, including pricing accuracy, inventory valuation, revenue recognition inputs, and management review controls.

Qualifications and Experience

Bachelor's degree in Computer Science, Data Science, Information Systems, or a related quantitative field.

8+ years of experience in technology audit, IT risk management, or data science.

Minimum 2+ years of direct experience auditing or governing AI/Machine Learning environments.

In-depth knowledge of IT general controls (ITGC), NIST AI Risk Management Framework, and data privacy regulations (e.g., GDPR, CCPA).

Exceptional ability to influence stakeholders and explain technical AI risks to non-technical business leaders.

Certifications: CISA, CISSP, or specialized AI credentials (e.g., ISACA AI Fundamentals/Audit, IAPP Certified AI Governance Professional).

Experience auditing consumer-facing technologies, e-commerce platforms, or automated supply chain systems.

Proficiency in Python or SQL to perform independent data analysis or model testing.

Experience aligning AI risks to enterprise risk management (ERM), operational risk, and internal control frameworks.

Familiarity with model risk management (MRM), AI governance councils or ethics boards, and regulatory exams or external audit interactions related to emerging technology.

Physical Requirements

Ability to sit and work at a computer keyboard for extended periods of time.

Ability to stoop, kneel, bend at the waist, and reach daily.