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 Responsibilities1. 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