Overview
In this role you will strategize and implement risk-focused technology solutions within Infrastructure Platforms, ensuring digital transformation aligns with regulatory requirements. You will partner across cross-functional teams to influence risk management and mitigation while guiding AI governance in production-support workflows. Your work supports resilient operations and secure incident/problem/change management at scale. This is an opportunity to shape risk-aware technology direction at a global financial leader.
Responsibilities
- Set reuse-first expectations for enterprise-authorized AI adoption in support operations with human-in-the-loop validation and data sensitivity handling
- Establish governance standards for AI-assisted workflows in incident/problem/change processes with traceability and security alignment
- Advise on cross-domain incident, problem, and change management to improve operational resilience
- Use observability and diagnostics to analyze recurring issues, test root-cause hypotheses, and guide sustainable remediation
- Lead technical investigations to identify root causes and coordinate actions for resolution
Key requirements
- Formal training or certification in IT services concepts and advanced applied experience
- Experience leading enterprise-authorized AI use within production support workflows, including validation and data sensitivity awareness
- Ability to define AI review/approval and escalation for operational, security, and auditability outcomes
- Experience analyzing complex infrastructure issues in large-scale on-premises and cloud environments
- Proficiency in observability and diagnostic data to perform root-cause analysis across distributed environments
- Experience in client-facing technology roles translating business needs into infrastructure requirements
- Ability to coordinate complex initiatives across business, product, engineering, operations, cyber, and risk stakeholders
- Experience executing ITIL framework processes
- stakeholder management
- cross-functional collaboration
- analytical thinking
- observability
- monitoring
- diagnostic analysis
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