Lead IT Analyst - Problem Management & BRM at Honeywell
Bucharest, , Romania -
Full Time


Start Date

Immediate

Expiry Date

13 Aug, 26

Salary

0.0

Posted On

15 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Problem Management, Incident Response Management, ITIL v4, Root Cause Analysis, ServiceNow, KPI Analysis, Stakeholder Management, Performance Analytics, Trend Analysis, AI-Enabled Insights, Continual Service Improvement, Operational Resilience

Industry

Automation Machinery Manufacturing

Description
Job Description – Lead IT Analyst – Problem Management & BRM The Lead IT Analyst is responsible for leading the Problem Management & Incident Response Management area to proactively and reactively reduce and mitigate the impact and recurrence of incidents, improve service stability, and protect business outcomes. The role applies ITIL v4 Problem Management principles, data‑driven analysis, and AI‑enabled insights to identify systemic issues, drive effective root‑cause analysis, and ensure corrective and preventive actions are implemented and measured. By leveraging KPIs, analytics, and continual improvement practices, the role partners with Service Owners, Application teams, and IT leadership to enhance operational resilience, increase transparency, and continuously improve service quality Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.
Responsibilities
Lead the Problem Management and Incident Response areas to reduce incident recurrence and improve service stability. Partner with Service Owners and IT leadership to implement corrective actions and enhance operational resilience using data-driven insights.
Loading...