Group VP
Posted 26 Jun 2026
Advertised as “Group VP – Digital Platform & Automation”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 24+ yrs
- Management level
- People management
No salary listed for this role.
Field of studyComputer Science, Software Engineering (or related)
Study levelBachelor's
Field of studyComputer Science
Study levelMaster's
JOB ACCOUNTABILITIES
Enterprise Architecture Governance & Standards
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Define and own the enterprise architecture vision and multi-year roadmap spanning systems, data, and security across all domains
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Establish and maintain enterprise architecture principles, standards, and reference architectures consumed by all three domain teams
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Chair the Logistics Architecture Review Board (LARB) — the governance forum for all significant technology decisions across Logistics
domains
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Act as the final authority for major architecture decisions, trade-offs, and exceptions across the entire logistics technology estate
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Approve or reject domain deviation requests from architectural standards; own the architecture governance cadence and approval rules
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Define the external integration framework — how DP World Logistics platforms connect to carriers, customs systems, and trade networks
Platform Architecture & Integration
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Define the platform-first strategy — identify capabilities built once and reused across all three domains to prevent fragmentation
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Own integration architecture standards: API design principles, event-driven patterns, async messaging, and data exchange protocols
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Maintain living reference architectures: microservices patterns, deployment topologies, scalability playbooks, and resilience patterns
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Own cloud architecture strategy (GCP, Azure, AWS) — including multi-cloud standards and cloud-native platform engineering practices
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Define Infrastructure-as-Code, CI/CD architecture expectations, container orchestration standards, and observability frameworks
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Track and drive remediation of platform-level technical debt across all three domains through a consolidated roadmap
Logistics Data Strategy & Data Architecture
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Own the Logistics Data Strategy — define the vision, architectural approach, and roadmap for how data flows across the logistics technology estate
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Define the data architecture: data mesh patterns, domain data ownership boundaries, and shared data platform approach
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Establish data governance standards: master data management, data quality frameworks, data lineage, and metadata management