Head of Digital Service Delivery
Job Overview
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Date PostedApril 13, 2026
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Location
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Expiration dateJune 18, 2026
Job Description
411_3386035
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