Information Technology Service Manager

• Proven expertise in IT Service Management, IT Operations, or Service Delivery leadership.Strong knowledge of Incident, Problem, Change, Vendor, and Service Level Management.
• Experience managing enterprise-scale IT services within complex regional or multinational environments.
• Demonstrated success in operational excellence, service transformation, and continuous improvement initiatives.
• Hands-on experience leveraging AI, automation, analytics, or AIOps technologies to improve service outcomes.
• Strong customer-focused mindset with the ability to balance business needs and service performance.
• Collaborative approach with the ability to build trusted partnerships across business, technology, and vendor teams.
• Scientific and data-driven decision-making skills, supported by analytics and operational insights.
• Experience with monitoring and observability practices, including AI-powered service monitoring platforms.

• Professional certifications such as ITIL, PMP, Agile, Lean Six Sigma, AI, Cloud, Automation, or Digital Transformation are advantageous.

Why This Role Matters:
At AS Watson, technology services play a critical role in enabling business performance and putting a smile on customers' faces. As our Information Technology Service Manager, you will ensure enterprise IT services remain reliable, resilient, and business-focused. Acting as a key bridge between business teams, technology partners, and service providers, you will drive operational excellence, strengthen service continuity, and lead the adoption of AI-powered operations, automation, and data-driven improvements that enhance user experience and support our O+O (Offline + Online) business model.

• Lead end-to-end IT service performance, availability, and continuous improvement.Drive service governance, SLA/KPI achievement, and service health reporting.
• Lead major incident management, stakeholder communication, and service recovery.
• Champion problem, risk, and change management to strengthen operational resilience.
• AI, AIOps, predictive analytics, and intelligent monitoring to proactively prevent service disruptions.
• Drive automation, self-healing capabilities, and operational efficiency initiatives.
• Enhance enterprise monitoring and observability using data-driven insights and AI-powered tools.
• Manage strategic vendors and service partners to deliver business outcomes.
• Collaborate closely with business and technology teams to align services with priorities across the O+O business model.
• Support service modernization, transformation initiatives, and operational readiness.
• Foster a customer-focused culture of accountability, innovation, and continuous improvement.