Project Delivery Manager

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:
• Clarify:

Scope Confirmation

• Translate high-level workflows into clear delivery components:
• Align internally and with the client on:

2. Detailed Planning & Backlog Management

This is where ideas become execution.

You own:

• Building the delivery plan and timeline:
• Creating and maintaining the delivery backlog:
• Keeping tools accurate and trusted:

3. Coordination & Day-to-Day Execution

You are the operational heartbeat of each pilot or project.

Responsibilities include:

• Running regular execution cadences:
• Ensuring tight collaboration between:
• Driving execution discipline:

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:
• Manage change transparently:
• Provide clear, consistent communication:

5. UAT, Go-Live & Post-Go-Live Stabilization

• Plan and coordinate:
• Ensure smooth transition:
• Own final handover:

Requirements

• 5-8 years in:
• 3+ years delivering enterprise projects with multiple stakeholders (business & IT)
• Proven experience with:
• 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:
• Confident running:

Technical Literacy (Non-Coding)

• Comfortable with:
• Able to:
• Solid conceptual understanding of:

Stakeholder Management & Communication

• Can confidently manage:
• Produces:

Execution Mindset

• Turns ideas into:
• Keeps delivery tools always current and reliable
• Strong sense of ownership and follow-through

AI Project Awareness

• Comfortable with:
• Understands that AI delivery is adaptive, not linear