Jobs / Wells Fargo

Senior Lead Technology Risk Officer (Application Domain, SDLC, DevOps and AI)

Wells Fargo · Charlotte, NC, United States
Charlotte, NC, United StatesExp: 7+ yrsOnsite
Remuneration
Not specified
Location
Charlotte, NC, United States
Visa sponsorship
No visa sponsorship
This position does not offer sponsorship

Job summary

The role provides independent second-line oversight of application-domain technology risk, evaluating how application engineering practices and controls contribute to enterprise risk exposure. It leads technical assessments of SDLC, CI/CD, DevSecOps, cloud and software supply chain practices, including AI-enabled engineering workflows, and translates findings into risk statements, remediation expectations, and decision-ready reporting for senior management, risk committees, and regulators.

Qualifications

  • 7+ years of Technology Risk experience
  • 7+ years of progressive experience in software engineering, DevSecOps, platform or cloud engineering, application security, technology controls, or technology risk
  • Proven technical depth across modern SDLC and DevSecOps
  • Demonstrated ability to lead complex technical risk assessments, evaluate control effectiveness, identify systemic risk, and provide credible challenge
  • Strong command of modern engineering platforms and security toolchains
  • Understanding of emerging AI engineering risks and controls
  • Knowledge of NIST, SSDF, COBIT, FFIEC guidance, or ISO 27001

Responsibilities

  • Provide expert second-line oversight of modern engineering practices
  • Own second-line technology risk coverage and provide thought leadership across the application risk domain
  • Perform technically rigorous assessments of source control workflows, branching strategies, build systems, test automation, artifact repositories, package dependencies, deployment orchestration, and runtime platform configurations
  • Evaluate the integrity of software delivery pipelines end to end
  • Lead deep-dive technical risk reviews of complex delivery environments and modernization programs
  • Evaluate AI-enabled engineering capabilities
  • Develop technically meaningful risk indicators and challenge metrics for SDLC, DevSecOps, and AI-enabled engineering
  • Serve as a trusted technical risk partner to engineering, security, architecture, and control teams

Skills

AzureAzure DevOpsGitHubGitLabJenkinsKubernetesTerraform

Certifications

Relevant security, risk, cloud, or software lifecycle certifications

Industry

Financial services

Relocation

No