Technology Support Lead - Problem Management & Governance Lead
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What you'll do
- Serve as the subject matter expert for end-to-end problem management across application and infrastructure services, from problem identification and classification through root cause analysis, remediation, validation, and closure.
- Leads team adoption of enterprise-authorized AI capabilities within the work environment to improve incident triage speed and consistency (e.g., synthesizing operational signals into prioritized actions), with human-in-the-loop validation and appropriate handling of sensitive data.
- Execute policies and procedures that ensure operational stability and availability and lead incident, problem, and change management in support of full stack technology systems, applications, or infrastructure.
- Analyze incident trends, recurring issues, service-impacting events, and operational data to identify systemic problems and prioritize remediation based on business impact, risk, and customer experience.
- Facilitate structured root cause analyses and post-incident reviews, ensuring contributing factors, control gaps, and lessons learned are documented and translated into sustainable corrective and preventive actions.
- Establish clear ownership, milestones, and success measures for problem records and remediation actions; monitor progress, escalate delays, and provide transparent reporting to technology and business stakeholders.
- Partner with engineering, operations, service owners, and control functions to deliver sustainable remediation, improve service resilience, and reduce the recurrence and business impact of known issues.
- Maintain problem records and known-error information, ensuring workarounds, technical findings, risk acceptances, and remediation plans remain current, accessible, and aligned with established standards.
- Identify operational risks and control deficiencies through problem management activities and coordinate appropriate mitigation, governance, audit, and compliance actions.
- Define and report problem management metrics, including recurrence, aging, remediation effectiveness, root cause categories, and reductions in incident volume or business impact.
- Applies reuse-first, AI-assisted practices across incident/problem/change routines to identify recurring interruption patterns and validate remediation actions aligned to resiliency and security expectations.
What they're looking for
- 5+ years of experience or equivalent expertise troubleshooting, resolving, and maintaining information technology services.
- Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support production operations workflows with strong validation habits and awareness of data sensitivity.
- Ability to review and validate AI-assisted incident recommendations before action, escalating when uncertain and ensuring outcomes align to operational, security, and auditability expectations.
- Experience managing applications or infrastructure in a large-scale technology environment both on premises and public cloud.
- Proficient in observability and monitoring tools and techniques.
- Experience executing on processes in scope of the Information Technology Infrastructure Library (ITIL) framework.
- Demonstrated experience managing end-to-end problem records, root cause analyses, corrective actions, known errors, and recurrence-prevention activities.
- Strong analytical skills with experience using incident trends and operational data to identify systemic problems and prioritize remediation based on impact and risk.
- Ability to manage operational risk, control requirements, resiliency expectations, and auditability needs within a complex technology environment.
- Proven stakeholder management and influencing skills, including the ability to challenge constructively and communicate effectively with senior business and technology stakeholders.
Nice to have
- Experience supporting Problem Management, Production Management, Site Reliability Engineering, or Operational Excellence activities within a large enterprise environment.
- Knowledge of structured root cause analysis methods, post-incident review practices, known-error management, and corrective and preventive action management.
- Experience defining and reporting problem management metrics, including recurrence, aging, remediation effectiveness, root cause categories, and service impact reduction.
- Familiarity with enterprise-authorized AI, automation, analytics, or AIOps capabilities used to support operational analysis and workflow efficiency.
- Relevant industry certification or formal training in ITIL, Service Management, Site Reliability Engineering, cloud technology, or operational risk management.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Join our dynamic Production Management team to strengthen technology resilience, improve service quality, and drive effective governance across the core services that support our business.
As a Problem Management Lead in Employee Platforms, you will serve as a subject matter expert for end-to-end problem management, with a primary focus on identifying root causes, reducing recurring incidents, improving service stability, and ensuring that remediation and closure decisions meet established risk, control, resiliency, and documentation standards.
Success in this role requires strong analytical thinking, sound judgment, attention to detail, and the ability to influence technology teams and business stakeholders through clear communication, effective challenge, and data-driven recommendations.
Job responsibilities
Serve as the subject matter expert for end-to-end problem management across application and infrastructure services, from problem identification and classification through root cause analysis, remediation, validation, and closure.
Leads team adoption of enterprise-authorized AI capabilities within the work environment to improve incident triage speed and consistency (e.g., synthesizing operational signals into prioritized actions), with human-in-the-loop validation and appropriate handling of sensitive data.
Execute policies and procedures that ensure operational stability and availability and lead incident, problem, and change management in support of full stack technology systems, applications, or infrastructure.
Analyze incident trends, recurring issues, service-impacting events, and operational data to identify systemic problems and prioritize remediation based on business impact, risk, and customer experience.
Facilitate structured root cause analyses and post-incident reviews, ensuring contributing factors, control gaps, and lessons learned are documented and translated into sustainable corrective and preventive actions.
Establish clear ownership, milestones, and success measures for problem records and remediation actions; monitor progress, escalate delays, and provide transparent reporting to technology and business stakeholders.
Partner with engineering, operations, service owners, and control functions to deliver sustainable remediation, improve service resilience, and reduce the recurrence and business impact of known issues.
Maintain problem records and known-error information, ensuring workarounds, technical findings, risk acceptances, and remediation plans remain current, accessible, and aligned with established standards.
Identify operational risks and control deficiencies through problem management activities and coordinate appropriate mitigation, governance, audit, and compliance actions.
Define and report problem management metrics, including recurrence, aging, remediation effectiveness, root cause categories, and reductions in incident volume or business impact.
Applies reuse-first, AI-assisted practices across incident/problem/change routines to identify recurring interruption patterns and validate remediation actions aligned to resiliency and security expectations.
Required qualifications, capabilities, and skills
5+ years of experience or equivalent expertise troubleshooting, resolving, and maintaining information technology services.
Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support production operations workflows with strong validation habits and awareness of data sensitivity.
Ability to review and validate AI-assisted incident recommendations before action, escalating when uncertain and ensuring outcomes align to operational, security, and auditability expectations.
Experience managing applications or infrastructure in a large-scale technology environment both on premises and public cloud.
Proficient in observability and monitoring tools and techniques.
Experience executing on processes in scope of the Information Technology Infrastructure Library (ITIL) framework.
Demonstrated experience managing end-to-end problem records, root cause analyses, corrective actions, known errors, and recurrence-prevention activities.
Strong analytical skills with experience using incident trends and operational data to identify systemic problems and prioritize remediation based on impact and risk.
Ability to manage operational risk, control requirements, resiliency expectations, and auditability needs within a complex technology environment.
Proven stakeholder management and influencing skills, including the ability to challenge constructively and communicate effectively with senior business and technology stakeholders.
Preferred qualifications, capabilities, and skills
Experience supporting Problem Management, Production Management, Site Reliability Engineering, or Operational Excellence activities within a large enterprise environment.
Knowledge of structured root cause analysis methods, post-incident review practices, known-error management, and corrective and preventive action management.
Experience defining and reporting problem management metrics, including recurrence, aging, remediation effectiveness, root cause categories, and service impact reduction.
Familiarity with enterprise-authorized AI, automation, analytics, or AIOps capabilities used to support operational analysis and workflow efficiency.
Relevant industry certification or formal training in ITIL, Service Management, Site Reliability Engineering, cloud technology, or operational risk management.
Company
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