Project Delivery Manager

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.

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.

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

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

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

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

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