Technical Product Manager / Delivery Lead (Governed Digital & AI Platform)

We are a global real estate developer with a presence in over 150 offices worldwide and a strong, established footprint across the Middle East. We deliver world-class residential and commercial developments, driven by innovation, technical excellence, and a passion for creating inspiring spaces. We are seeking a highly skilled Technical Product Manager / Delivery Lead (Governed Digital & AI Platform) to join our team in Dubai, UAE. We are consolidating its AI and digital products into a single governed enterprise platform: one shared technical spine, a controlled release path, and clear boundaries between the core product, modules delivered by separate teams, and standalone or experimental work. This role owns that platform on the technical side and leads the team that builds it. It is a deliberate hybrid of technical product manager and delivery lead. You set and hold the technical and architectural direction, and you are accountable for delivering it into production and running the engineering team that does the work. It is a hands-on role, not a coordination seat. Reporting and team Reports to the Head of Strategic Transformation. Leads the platform engineering team (AI engineers, data engineer, graduate developer) and owns its delivery cadence, standards, and growth, including new technical hires. Serves as the technical counterpart to the product managers delivering individual modules, holding the interface contract they build against, and is the single technical owner other teams approach when new work needs a home. Key responsibilities Platform architecture and governance • Own and maintain the platform's solution architecture: one governed spine (authentication, APIs, design system, data schema) consumed across every workstream, with isolation boundaries drawn so a failure in one module never destabilises the platform. • Define and enforce the interface contract that separately built modules must meet before entering any shared environment. • Keep repository, naming, and URL conventions consistent across the estate so it stays legible and maintainable as it scales. Release and deployment • Run the promotion path across Development, UAT, and Production with defined gate criteria at each stage, so nothing reaches production unreviewed. • Manage batched releases of core components, and land externally built modules behind feature flags so a failing module can be switched off without downtime. • Migrate the platform from local development into COMPANY's managed environment and keep the deployment pipeline automated and repeatable rather than manual. Integration and forward delivery • Onboard incoming modules through contract compliance, integration testing, and a defined graduation gate, protecting the core release cycle throughout. • Own the forward technical roadmap: scope, sequence, and deliver new capability, and decide what becomes a core release, an integrated module, or a retired experiment. Team leadership and delivery • Line-manage the engineering team: set sprint cadence, review architecture and code, uphold quality and security standards, and develop the team as it grows. • Remain technical enough to work in the codebase, make architecture decisions, and unblock the team directly. Governance and assurance • Ensure every capability that supports live client work is auditable, access-controlled, and defensible, consistent with COMPANY's governed-platform standard. Essential experience • At least eight years in software delivery, including a minimum of four leading engineering or technical product teams that shipped and operated production systems. • Proven ownership of a multi-environment deployment lifecycle (Development, UAT, Production), CI/CD, feature flagging, and release governance on a live product. • A hands-on engineering background: able to read and review code, reason about API and data-schema design, and make architecture decisions, not only coordinate those who do. • Direct line management of developers, including setting standards and running delivery cadence. • Experience integrating independently built modules into a shared platform without destabilising it, using interface contracts, versioning, and isolation. Technical competencies • Modern web application architecture, API design, and data modelling. • Cloud deployment and environment management; infrastructure-as-code and pipeline automation an advantage. • Working fluency with AI-assisted development tooling, including Claude Code, and comfort operating an application stack backed by large language models (model routing, prompting, guardrails). • Version control, branching strategy, and code review at team scale. Desirable • Exposure to the architecture, engineering, and construction (AEC) sector, or a computational design background. • Experience deploying enterprise AI under governance, audit, or regulatory constraint. • A record of establishing canonical project and configuration conventions across multiple repositories. First-year outcomes • The platform is fully migrated to the managed environment with a documented, repeatable deployment pipeline. • The interface contract is published and every new module onboards through it, with no integration destabilising the core platform. • The Development, UAT, and Production promotion path operates on defined gates with no unreviewed production releases. • The engineering team runs a predictable release cadence, with new technical hires productive. • Agreed module deliveries are integrated on schedule against the roadmap. Scope note: This is a hybrid technical product manager and delivery lead role. Product prioritisation and stakeholder alignment are part of it, but the core accountability is technical: architecture, deployment, governance, and the delivery team. It is not a portfolio-management or purely coordinating position. Show more Show less

At least eight years in software delivery, including a minimum of four leading engineering or technical product teams that shipped and operated production systems. Proven ownership of a multi-environment deployment lifecycle (Development, UAT, Production), CI/CD, feature flagging, and release governance on a live product. A hands-on engineering background: able to read and review code, reason about API and data-schema design, and make architecture decisions, not only coordinate those who do. Direct line management of developers, including setting standards and running delivery cadence. Experience integrating independently built modules into a shared platform without destabilising it, using interface contracts, versioning, and isolation. Modern web application architecture, API design, and data modelling. Cloud deployment and environment management; infrastructure-as-code and pipeline automation an advantage. Working fluency with AI-assisted development tooling, including Claude Code, and comfort operating an application stack backed by large language models (model routing, prompting, guardrails). Version control, branching strategy, and code review at team scale. Desirable: Exposure to the architecture, engineering, and construction (AEC) sector, or a computational design background. Experience deploying enterprise AI under governance, audit, or regulatory constraint. A record of establishing canonical project and configuration conventions across multiple repositories.

Platform architecture and governance: Own and maintain the platform's solution architecture: one governed spine (authentication, APIs, design system, data schema) consumed across every workstream, with isolation boundaries drawn so a failure in one module never destabilises the platform. Define and enforce the interface contract that separately built modules must meet before entering any shared environment. Keep repository, naming, and URL conventions consistent across the estate so it stays legible and maintainable as it scales. Release and deployment: Run the promotion path across Development, UAT, and Production with defined gate criteria at each stage, so nothing reaches production unreviewed. Manage batched releases of core components, and land externally built modules behind feature flags so a failing module can be switched off without downtime. Migrate the platform from local development into COMPANY's managed environment and keep the deployment pipeline automated and repeatable rather than manual. Integration and forward delivery: Onboard incoming modules through contract compliance, integration testing, and a defined graduation gate, protecting the core release cycle throughout. Own the forward technical roadmap: scope, sequence, and deliver new capability, and decide what becomes a core release, an integrated module, or a retired experiment. Team leadership and delivery: Line-manage the engineering team: set sprint cadence, review architecture and code, uphold quality and security standards, and develop the team as it grows. Remain technical enough to work in the codebase, make architecture decisions, and unblock the team directly. Governance and assurance: Ensure every capability that supports live client work is auditable, access-controlled, and defensible, consistent with COMPANY's governed-platform standard.