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Technical Delivery Manager

Unlock employer Abu Dhabi, United Arab Emirates Posted: 03 Jul 2026

Financial

  • Estimate: $100k - $150k*
  • Zero income tax location

Accessibility

  • Hybrid
  • Visa Provided

Requirements

  • Experience: Senior
  • English: Professional

Position

Location
Abu Dhabi, United Arab Emirates

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About
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 looking for a Technical Delivery Manager who leads projects, thrives at the intersection of technology and client impact, and genuinely cares about delivering outcomes. This is a senior, high-visibility role where you will own programs end-to-end, from responding to RFPs through delivery and into managed services.

Requirements

  • 10+ years of technical project and program delivery, with a track record of owning complex, multi-workstream engagements.
  • Demonstrable experience delivering GenAI, data, and advanced analytics solutions.
  • 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, with regional stakeholder management experience being 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.

Key Duties & Responsibilities

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, 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—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.
  • 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 and building capability across the organization.
  • Foster a culture of continuous improvement, learning, and delivery excellence within your programs.

Key Skills

  • Understanding of AI and ML solution delivery, data pipelines, and agentic AI application architectures.
  • Familiarity with cloud-native platforms: Azure, AWS, or GCP, including microservices and distributed system design.
  • Knowledge of data platforms: data lakes, data warehouses, analytics ecosystems, and data engineering pipelines.
  • Expertise in APIs, system integration, and enterprise application architectures.
  • Proficiency in DevOps, CI/CD practices, and modern SDLC methodologies.
  • Experience with Agile/Scrum/SAFe and hybrid delivery frameworks, including Jira and equivalent tooling.
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