Project Delivery Manager

Lucidya · Posted 2026-01-10

About LucidyaLucidya is building the next generation of AI-powered customer experience solutions for enterprises across the MENA region. Our new AI Agents business line focuses on deploying intelligent, enterprise-grade AI agents that automate, assist, and augment customer-facing and operational workflows - securely, reliably, and at scale.This role sits at the heart of turning AI agent concepts into live, business-impacting solutions.About the RoleThe Project / Delivery Manager owns one critical question:“How do we execute what we promised?”You take the Solution Consultant’s vision and turn it into a clear execution plan, structured backlog, and predictable delivery rhythm - from initial scoping through go-live and stabilization.You are the operational backbone of AI agent pilots and enterprise deployments, ensuring alignment across clients, engineering, data, and AI teams while keeping delivery on track.Key Responsibilities1. Scoping & Handover from Solution ConsultantYou step in once a pilot or project is conceptually approved.Formal HandoverReceive full delivery context, including:Discovery findingsWorkflow maps and agent logicSuccess criteria and KPIsPilot narrative and client expectationsClarify:Scope, constraints, dependencies, and assumptionsTechnical and operational boundariesScope ConfirmationTranslate high-level workflows into clear delivery components:AI Agent versions (v0, v1, v2…)Integrations, channels, and data sourcesDashboards, reporting, and monitoringTraining, enablement, and documentationAlign internally and with the client on:What is in scope vs out of scope for each phase2. Detailed Planning & Backlog ManagementThis is where ideas become execution.You own:Building the delivery plan and timeline:Milestones, sprints, and go-live checkpointsCross-team dependencies (AI, backend, integrations, data, CX ops)Creating and maintaining the delivery backlog:Break down deliverables into tasks and subtasksAssign clear owners (AI Agent Engineers, Backend, Frontend, Data, Solutions)Keeping tools accurate and trusted:Trello / Jira / Notion as the single source of truthTask status, blockers, due dates, and changes3. Coordination & Day-to-Day ExecutionYou are the operational heartbeat of each pilot or project.Responsibilities include:Running regular execution cadences:Standups and check-insProgress reviews and decision syncsEnsuring tight collaboration between:Solution Consultants (business & workflows)Engineering and AI teams (implementation)Client stakeholders (CX, IT, Operations, Compliance)Driving execution discipline:Clear meeting notesAction items with owners and deadlinesRelentless follow-up until closure4. Risk, Change & Stakeholder ManagementAI agent delivery comes with moving parts - you own visibility and control.You will:Maintain a risk & issues log covering:Technical risks (data access, integrations, latency, environments)Business risks (scope creep, stakeholder shifts, external dependencies)Manage change transparently:Assess impact on scope, timelines, and deliveryAlign with stakeholders before executionProvide clear, consistent communication:Status updatesEscalations when neededExpectation management throughout the lifecycle5. UAT, Go-Live & Post-Go-Live StabilizationPlan and coordinate:UAT cycles and acceptance criteriaGo-live readiness and rollout plansEnsure smooth transition:Monitor early performance and issuesCoordinate fixes and optimizationsOwn final handover:DocumentationSupport transitionClear ownership post-delivery

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