Project / Delivery Manager - AI Agents

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 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 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 ManagementThis 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 ExecutionYou 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 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 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 Requirements 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 in CX, contact centers, CRM, or customer-facing platforms is a strong plus Experience working closely with product and engineering teams in Agile/Scrum environments Must-Have SkillsProject & Delivery Excellence Strong command of: Scoping, timelines, milestones RAID (Risks, Assumptions, Issues, Dependencies) Confident running: Standups, execution reviews, steering meetings Technical Literacy (Non-Coding) Comfortable with: API-based integrations and webhooks Data flows between systems Able to: Read basic API documentation and JSON payloads Translate technical constraints into delivery decisions Solid conceptual understanding of: SaaS platforms LLMs and AI agent workflows Stakeholder Management & Communication Can confidently manage: CX leadership IT and engineering teams Internal product and AI stakeholders Produces: Clear documentation Actionable recaps Concise, honest status updates Execution Mindset Turns ideas into: Tasks, owners, and deadlines Keeps delivery tools always current and reliable Strong sense of ownership and follow-through AI Project Awareness Comfortable with: Iterative AI delivery