Drimva

JPMorgan Chase

Tech Risk and Controls Lead - AI4Tech

Plano, TX · Full-time · Posted Aug 13, 2026

Experience
5+ years of experience or equivalent expertise.

About the job

Leads technology risk and controls work supporting AI4Tech, including risk mitigation, control governance, and responsible use of AI-assisted workflows.

What you'll do

  • Identify, assess, report, and mitigate technology risks; analyze root causes and recommend resolutions.
  • Monitor control effectiveness, coordinate issue remediation, and provide governance reporting and insights to senior management.
  • Use and promote enterprise-authorized AI to support risk evidence synthesis and recurring control routines, validating outputs and meeting security, auditability, and regulatory expectations.

What they ask for

  • Expertise in technology risk management, information security, or a related field, including risk identification, assessment, and mitigation.
  • Knowledge of data security, risk assessment and reporting, control evaluation, design, and governance.
  • Experience using enterprise-authorized AI capabilities for technology risk and controls workflows, with strong validation habits and awareness of data sensitivity.
  • Technical proficiency in AI risk governance, securing platforms, applications, and business processes, and understanding AI threats and mitigations.

Nice to have

  • Familiarity with risk management frameworks, industry standards, and financial industry regulatory requirements.
  • CISM, CRISC, CISSP, CopmTIA Security+ or similar industry-recognized risk and risk certifications.

Tools

AI, ML, IAM

AI focus

Supports AI4Tech and uses enterprise-authorized AI to synthesize risk and control evidence, draft executive reporting, and streamline control testing and issue management. Requires validation of AI-assisted outputs and attention to data sensitivity, security, auditability, and regulatory expectations; includes AI risk governance and AI threat mitigation.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)