Padmi
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DP World

container terminals · freight forwarding

Group VP – Digital Platform & Automation

IndiaPosted 2 months ago
Technology ManagementStaff+
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Opens the source posting on ehpv.fa.em2.oraclecloud.com

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The Head of Logistics Platform and Automation is the authority for enterprise architecture for the entire logistics technology estate. The role does not own delivery but defines architecture strategy and guidelines within which all delivery happens: the standards, governance, patterns, and platform strategy that positions DP World Logistics Technology to build a coherent, secure, connected ecosystem.

JOB ACCOUNTABILITIES Enterprise Architecture Governance & Standards Define and own the enterprise architecture vision and multi-year roadmap spanning systems, data, and security across all domains

Establish and maintain enterprise architecture principles, standards, and reference architectures consumed by all three domain teams

Chair the Logistics Architecture Review Board (LARB) — the governance forum for all significant technology decisions across Logistics domains

Act as the final authority for major architecture decisions, trade-offs, and exceptions across the entire logistics technology estate

Approve or reject domain deviation requests from architectural standards; own the architecture governance cadence and approval rules

Define the external integration framework — how DP World Logistics platforms connect to carriers, customs systems, and trade networks

Platform Architecture & Integration Define the platform-first strategy — identify capabilities built once and reused across all three domains to prevent fragmentation

Own integration architecture standards: API design principles, event-driven patterns, async messaging, and data exchange protocols

Maintain living reference architectures: microservices patterns, deployment topologies, scalability playbooks, and resilience patterns

Own cloud architecture strategy (GCP, Azure, AWS) — including multi-cloud standards and cloud-native platform engineering practices

Define Infrastructure-as-Code, CI/CD architecture expectations, container orchestration standards, and observability frameworks

Track and drive remediation of platform-level technical debt across all three domains through a consolidated roadmap

Logistics Data Strategy & Data Architecture Own the Logistics Data Strategy — define the vision, architectural approach, and roadmap for how data flows across the logistics technology estate

Define the data architecture: data mesh patterns, domain data ownership boundaries, and shared data platform approach

Establish data governance standards: master data management, data quality frameworks, data lineage, and metadata management

Define streaming and batch data architecture — event sourcing, change data capture, and real-time analytics pipeline patterns

Architect the AI/ML platform: model serving infrastructure, ML Operations (MLOps) patterns, and responsible AI governance guardrails

Logistics Information Security Architecture Own the Logistics Information Security architecture standards and reference patterns applied across all logistics domain and platform systems

Define and enforce zero-trust network architecture, identity and access management (IAM), and privileged access management (PAM)

Own cloud security architecture: landing zone design, Cloud Security Posture Management, and workload security standards

Define application security architecture standards: secure SDLC, threat modelling, API security, and secrets management

Lead security architecture reviews at LARB; partner with CISO on compliance architecture (SOC2, ISO27001, GDPR)

Align with Enterprise Information security standards

Logistics Operational Automation Technology Strategy Own the Logistics Operational Automation Technology Strategy covering Robotic Process Automation (RPA), AI-driven workflows, and intelligent process automation

Define reference architectures for RPA deployments, AI-driven workflow orchestration, and human-in-the-loop automation patterns

Evaluate and standardize the automation technology stack — RPA platforms, AI/ML workflow engines, and process mining tooling

Identify high-value automation opportunities across all three domains in partnership with Domain SVPs and VP Product COE

Own the integration architecture between automation systems and core logistics platforms; govern automation decisions at LARB

Architecture Team & Domain Architect Leadership Build and lead a high-performing central architecture team: Principal Architects covering Platform, Data, Security, and Operational Automation

Own the dotted-line governance relationship with domain architects embedded in each of the domain SVP organizations

Run the architectural community of practice: standards reviews, architectural patterns library, and cross-domain architectural learning

Coach domain architects to raise architectural quality across the organization — not just govern from a central function

Act as senior technical advisor to Domain SVPs and the Logistics EVP on complex architectural trade-offs and investment decisions

Represent DP World Logistics Technology with cloud providers, strategic technology vendors, and external architecture forums

QUALIFICATIONS, EXPERIENCE AND SKILLS

Qualifications

  • Bachelor’s degree in computer science, Software Engineering, or related technical discipline

  • Master’s degree in computer science (preferred)

  • Experience 24+ years in technology, with 10+ years in senior enterprise or solutions architecture roles across complex, multi-domain environments

  • Proven experience defining and governing enterprise architecture strategy across multi-domain or multi-product technology organizations

  • Track record of leading architecture governance at scale — architecture review boards, standards bodies, or equivalent governance function

  • Demonstrated experience building and leading high-performing architecture teams including principal-level architects

  • Experience in logistics, supply chain, trade finance, or freight technology strongly preferred

  • Hands-on experience in data architecture, AI/ML platform architecture, and operational automation at enterprise scale

  • #LI-VG1

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