Project Delivery Manager

### About Lucidya Lucidya 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 Role The 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 Responsibilities ### 1. Scoping & Handover from Solution Consultant You step in once a pilot or project is conceptually approved. Formal Handover - Receive full delivery context, including: - Discovery findings - Workflow maps and agent logic - Success criteria and KPIs - Pilot narrative and client expectations - Clarify: - Scope, constraints, dependencies, and assumptions - Technical and operational boundaries Scope Confirmation - Translate high-level workflows into clear delivery components: - AI Agent versions (v0, v1, v2…) - Integrations, channels, and data sources - Dashboards, reporting, and monitoring - Training, enablement, and documentation - Align internally and with the client on: - What is in scope vs out of scope for each phase ### 2. Detailed Planning & Backlog Management This is where ideas become execution. You own: - Building the delivery plan and timeline: - Milestones, sprints, and go-live checkpoints - Cross-team dependencies (AI, backend, integrations, data, CX ops) - Creating and maintaining the delivery backlog: - Break down deliverables into tasks and subtasks - Assign clear owners (AI Agent Engineers, Backend, Frontend, Data, Solutions) - Keeping tools accurate and trusted: - Trello / Jira / Notion as the single source of truth - Task status, blockers, due dates, and changes ### 3. Coordination & Day-to-Day Execution You are the operational heartbeat of each pilot or project. Responsibilities include: - Running regular execution cadences: - Standups and check-ins - Progress reviews and decision syncs - Ensuring tight collaboration between: - Solution Consultants (business & workflows) - Engineering and AI teams (implementation) - Client stakeholders (CX, IT, Operations, Compliance) - Driving execution discipline: - Clear meeting notes - Action items with owners and deadlines - Relentless follow-up until closure ### 4. Risk, Change & Stakeholder Management AI 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 delivery - Align with stakeholders before execution - Provide clear, consistent communication: - Status updates - Escalations when needed - Expectation management throughout the lifecycle ### 5. UAT, Go-Live & Post-Go-Live Stabilization - Plan and coordinate: - UAT cycles and acceptance criteria - Go-live readiness and rollout plans - Ensure smooth transition: - Monitor early performance and issues - Coordinate fixes and optimizations - Own final handover: - Documentation - Support transition - Clear ownership post-delivery - 5-8 years in: - SaaS implementation - Technical project management - Digital or platform delivery - 3+ years delivering enterprise projects with multiple stakeholders (business & IT) - Proven experience with: - Integrations, APIs, and data-driven workflows - Background…