Sr. Lead Technology Risk Officer (App Domain, SDLC, DevOps & AI) - NC

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About this role:
The Application Risk Domain Officer operates within Technology Risk Management (TRM), part of Corporate Risk, providing independent second line oversight across application domains. The role is a member of the Application Risk Domain Team, which performs domain level evaluation and produces evidence-based views of how application conditions contribute to enterprise risk exposure. The role engages with Technology, including Tech Operations, CIO organizations, to provide challenge and inform risk-based decisions. Outputs from this role support enterprise risk views provided to senior management, risk committees, and regulators.

The Application Risk Domain Officer is responsible for defining and advancing domain-level risk assessment, monitoring, and reporting approaches. This includes evaluating application-related risk conditions, assessing the effectiveness of risk management practices and controls, and developing evidence-based views of how those conditions contribute to enterprise technology risk exposure.

The role requires strong technical understanding of modern application engineering practices, including SDLC, CI/CD, infrastructure as code, cloud-native architectures, developer platforms, software supply chain processes, and AI-enabled engineering workflows. Due to the breadth and complexity of the domain, preference will be given to candidates who have operated, managed, or led one or more technology capabilities for which they will provide independent risk oversight. The successful candidate must be capable of engaging engineering teams with technical credibility, providing effective challenge on complex technology matters, and translating technical observations into clear, decision-ready insights for senior management, risk committees, and regulatory stakeholders.

In this role, you will:

• Provide expert second-line oversight of modern engineering practices, including application architecture patterns, secure SDLC, CI/CD, DevSecOps, platform engineering, infrastructure as code, containerized workloads, and production release controls.
• Own second-line technology risk coverage and provide thought leadership across the application risk domain, partnering closely with first-line engineering, controls and technology teams to drive consistent oversight of application architecture, development practices, deployment pipelines, and supporting engineering controls.
• Perform technically rigorous assessments of source control workflows, branching strategies, build systems, test automation, artifact repositories, package dependencies, deployment orchestration, and runtime platform configurations to identify control weaknesses and systemic risk.
• Evaluate the integrity of software delivery pipelines end to end, including code provenance, pipeline trust boundaries, secrets handling, approval models, environment segregation, artifact immutability, and rollback or recovery capabilities.
• Lead deep-dive technical risk reviews of complex delivery environments and modernization programs, converting architecture, pipeline, and operational observations into clear risk statements, root causes, and targeted remediation expectations.
• Analyze developer ecosystems and engineering tool chains at a practitioner level, including repositories, CI runners, build agents, package managers, IaC frameworks, containers, Kubernetes, cloud services, and observability stacks.
• Evaluate AI-enabled engineering capabilities, including code assistants, prompt-based development workflows, automated test generation, agentic tooling, and model-integrated developer platforms, with emphasis on data exposure, unsafe code generation, traceability, and human review requirements.
• Review design and implementation patterns for application and platform controls, such as policy-as-code, secrets management, service identity, environment hardening, logging, monitoring, drift detection, and release gating.
• Develop technically meaningful risk indicators and challenge metrics for SDLC, DevSecOps, and AI-enabled engineering, such as deployment control exceptions, pipeline bypasses, privileged access patterns, dependency exposure, control coverage gaps, and remediation aging.
• Serve as a trusted technical risk partner to engineering, security, architecture, and control teams by applying expert discipline knowledge to high-impact decisions and shaping resilient engineering practices across the enterprise.

Required Qualifications:

• 7+ years of Technology Risk experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.

Job Expectations:
This position does not offer sponsorship

Posting End Date:

• 2 Oct 2026
• *Job posting may come down early due to volume of applicants.

Desired Qualifications:

• 7+ years of progressive experience in software engineering, DevSecOps, platform or cloud engineering, application security, technology controls, or technology risk. Front-line experience leading or operating technology capabilities is strongly preferred
• Proven technical depth across modern SDLC and DevSecOps, including source control, CI/CD, automated testing, deployment automation, production change controls, and software supply chain security.
• Demonstrated ability to lead complex technical risk assessments, evaluate control effectiveness, identify systemic risk, and provide credible challenge across SDLC, DevSecOps, cloud, software supply chain, and AI-enabled engineering environments.
• Ability to challenge complex technical decisions with credibility by evaluating application architectures, deployment models, engineering evidence, technical standards, and control implementations.
• Strong command of modern engineering platforms and security toolchains, including GitHub or GitLab, Jenkins or Azure DevOps, Terraform, containers, Kubernetes, cloud platforms, application security testing, and observability tools.
• Experience implementing or assessing critical engineering controls across secure build and release processes, code provenance, secrets management, privileged automation, infrastructure as code, environment segregation, and runtime security.
• Understanding of emerging AI engineering risks and controls, including AI coding assistants, automated code generation, agentic workflows, data exposure, traceability, and human oversight.
• Exceptional judgment, executive communication, and influencing skills, with the ability to translate complex technical risks into clear business impact, actionable remediation, and decision-ready reporting.
• Knowledge of NIST, SSDF, COBIT, FFIEC guidance, or ISO 27001. Financial services or regulated-industry experience and relevant security, risk, cloud, or software lifecycle certifications are preferred.