项目交付经理

#### 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 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.