We are a technology and innovation company headquartered in Abu Dhabi, helping organizations lead confidently in the digital era. By combining cutting-edge AI innovation with enterprise-grade cybersecurity, we enable businesses and governments to transform, scale, and operate securely in an increasingly complex world.

We are growing fast — and we are looking for a Technical Delivery Manager who does not just manage projects but leads them. Someone who thrives at the intersection of technology and client impact, who can walk into a room with a C-suite and command credibility, and who genuinely cares about delivering outcomes, not just outputs.

This is a senior, high-visibility role. You will own Programs end-to-end — from the moment we respond to an RFP, through delivery, and into managed services. You will advise clients, mentor internal teams, and help shape how we grow as a delivery organization hands on.

Requirements

* 10+ years of technical project and program delivery, with a track record of owning complex, multi-workstream engagements

* Proven experience in implementing GenAI, data, and advanced analytics solutions is required; practical knowledge of the technology is crucial rather than mere theoretical understanding

* Experience spanning the full engagement lifecycle: RFP response, project delivery, and post-go-live managed services

* Proven client-facing experience at senior and executive level - regional stakeholder management is a significant advantage

* Experience operating in large enterprise or government delivery environments, particularly in sectors such as Energy, Oil & Gas, or Public Sector

* Background in multi-vendor delivery environments with complex dependencies and distributed teams

* Master's degree in Computer Science, AI, Software Engineering, Data Science, or a closely related technical field

* You do not need to be an engineer, but you must be able to hold your own in a technical conversation. We expect strong familiarity with:

* AI and ML solution delivery - understanding of model development lifecycles, data pipelines, RAG, and agentic AI application architectures. You are in touch with what is happening in the rapidly evolving AI ecosystem

* Cloud-native platforms: Azure, AWS, or GCP — including microservices, containerization, and distributed system design

* Data platforms: data lakes, data warehouses, analytics ecosystems, and data engineering pipelines

* APIs, system integration, and enterprise application architectures

* DevOps, CI/CD practices, and modern SDLC methodologies

* Agile / Scrum / SAFe and hybrid delivery frameworks; Jira and equivalent tooling.

Program Leadership — End to End

* Own the full delivery lifecycle: from RFP response and solutioning through to go-live and post-delivery managed services

* Define scope, roadmaps, delivery plans, milestones, and governance frameworks from day one of engagement

* Drive sprint and release planning across distributed engineering, data, and AI teams in Agile and hybrid delivery models

* Manage risks, dependencies, budgets, and timelines with rigor - always maintaining meticulous documentation and program controls

* Establish and embed PMO practices, reporting cadences, and delivery metrics across the program you own

Client Advisory & Stakeholder Management

* Act as a trusted advisor to client leadership - translating complex technical delivery into clear, confident, executive-level communication

* Build and sustain strong relationships with senior client and government stakeholders across the UAE and wider Middle East region

* Lead board-level reporting and steering committee engagement, presenting progress, risks, and strategic recommendations with authority

* Navigate multi-vendor and multi-stakeholder environments, aligning competing priorities and maintaining momentum

RFP & Pre-Sales Contribution

* Play a hands-on role in developing RFP responses and solution proposals - not simply reviewing, but actively writing, structuring, and shaping bids

* Work with architecture and technical teams to estimate scope, effort, and delivery approaches for complex AI, data, and platform programs

* Contribute to solution workshops and technical discussions, bringing delivery credibility to pre-sales engagements

AI & Data Delivery

* Lead delivery of AI and machine learning solutions, data engineering pipelines, analytics platforms, and cloud infrastructure programs

* Coordinate effectively with data scientists, ML engineers, and platform teams - you do not need to code, but you need to understand deeply

* Manage delivery across cloud-native (Azure, AWS, GCP) and on-prem environments, microservices architectures, API ecosystems, and CI/CD pipelines

Team Leadership & Mentoring

* Serve as a mentor and coach to internal delivery teams - instilling best practices, building capability, and raising standards across the organization

* Coordinate international vendors and distributed teams, ensuring alignment and accountability without direct line authority

* Foster a culture of continuous improvement, learning, and delivery excellence within your programs