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

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 skills

Project & 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 (experiments, versions, evaluation cycles)
• Data privacy, guardrails, and quality metrics

Understands that AI delivery is adaptive, not linear

Why join Lucidya’s AI Agents team

• Work at the intersection of AI, CX, and enterprise delivery
• Shape how AI agents are deployed in real-world, high-impact environments
• Partner with strong product, AI, and engineering teams
• Own delivery end-to-end - not just coordination
• Help define delivery standards for a brand-new AI business line

Apply now and help us redefine the future of customer experience with AI agents.