Head of Digital Service Delivery

نظرة عامة على الوظيفة

  • تاريخ الإعلان
    أبريل 13, 2026
  • الموقع
  • تاريخ إنتهاء الصلاحية
    يونيو 18, 2026

المسمى الوظيفي

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The Head of Digital Service Delivery is accountable for the reliability, performance, scalability, and continuous evolution of all digital and technology services across the organization.

This role leads a modern, product-aligned, cloud-native service function designed to operate at the standards of leading global technology companies such as Atlassian and Meta.

The mandate is to design and operate a digital-first service delivery model that is automation-led, AI-enabled, DevOps-driven, and fully aligned to measurable business outcomes.

This is not a traditional IT operations role. It is a platform and reliability leadership role that ensures digital capabilities perform as resilient, high-velocity products serving both internal and external customers.

Key Accountabilities

Digital Reliability & Platform Performance

  • Own end-to-end service reliability across enterprise and customer-facing platforms
  • Define and govern Service Level Objectives (SLOs), experience metrics, and performance standards
  • Ensure real-time observability, monitoring, and telemetry across all critical systems
  • Drive automation-first incident detection, response, and remediation
  • Embed resilience, scalability, and security by design
  • Platforms include:
    • SAP S/4HANA and ERP ecosystems
    • CRM and customer engagement platforms
    • Property, community, and CAFM systems
    • Digital customer channels and data platforms
    • Cloud infrastructure, workplace technologies, and core enterprise services

Product-Led Service Operating Model

  • Embed service accountability within digital product teams
  • Implement DevOps and Site Reliability Engineering (SRE) practices
  • Enforce “you build it, you run it” ownership principles
  • Integrate service thinking into product roadmaps from inception
  • Transition from project-based delivery to lifecycle-based product operations

AI-Enabled Service Management

  • Implement AI-driven operations (AIOps) for predictive monitoring and incident prevention
  • Deploy intelligent service desk automation and virtual agents
  • Drive automation across change, release, and configuration management
  • Use analytics to continuously optimize performance, cost, and customer experience
  • Own build-to-run transitions for major transformation programs
  • Lead cutover planning, hypercare, and stabilization strategies
  • Ensure operational readiness, runbooks, and monitoring frameworks are established before go-live
  • Drive data-driven post-launch optimization
  • Manage system integrators and managed service providers under outcome-based contracts
  • Establish clear performance scorecards and governance frameworks
  • Drive service cost transparency and optimization
  • Ensure partners operate within the organization’s modern digital operating model

Service Excellence & Continuous Improvement

  • Promote a culture of accountability, transparency, and blameless postmortems
  • Continuously improve service performance through data and automation
  • Reduce manual effort through workflow orchestration and platform engineering
  • Position service delivery as a strategic enabler of business growth

Leadership & Team

  • Build and lead high-performing digital service teams including platform engineers, SREs, service product owners, and automation specialists
  • Develop capability in cloud-native operations, DevOps tooling, and AI-driven service management
  • Foster collaboration between business stakeholders, product teams, engineering, and operations.

Experience & Qualifications

  • 12+ years’ experience in Digital / Technology delivery
  • Senior leadership experience in modern service delivery, DevOps, or platform engineering environments
  • Strong vendor and commercial governance expertise
  • Demonstrated experience transforming legacy IT service models into product-led, automation-first operating models
  • Experience embedding AI and advanced analytics into service operations preferred

Success Measures

  • Improved service reliability and reduced mean time to recovery (MTTR)
  • Increased automation rates across incident and change management
  • Transparent SLO dashboards aligned to business KPIs
  • Seamless transition from transformation programs to stable operations
  • Measurable cost optimization without compromising performance

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2026-04-12 08:57:58