Project / Delivery Manager - AI Agents

About Lucidya

About The Role

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