Job Description & How to Apply Below
Title:
Project Control Officer (AI Delivery)
Role Overview
The AI Delivery Lead plays a critical support role in the successful delivery of AI-enabled solutions. This position works alongside Project Managers to ensure coordination across AI, Data, Engineering, Architecture, and Platform teams.
Rather than owning technical design or overall project leadership, this role focuses on delivery orchestration, risk visibility, production readiness coordination, and ensuring predictable, compliant execution across the AI lifecycle.
This is a senior coordination role requiring strong stakeholder management, structured delivery oversight, and the ability to operate in complex, matrixed environments.
Key Responsibilities
Delivery Coordination & Planning
Maintain an integrated delivery plan from discovery through production.
Coordinate milestones, dependencies, and cross-functional commitments.
Ensure alignment with timeline, scope, and delivery expectations set by Project Managers.
Monitor and flag risks related to:
data readiness
security & compliance
scalability & integration
Track cross-team dependencies and escalate conflicts early.
Recommend mitigation strategies and ensure decision visibility.
Production & Deployment Readiness
Coordinate activities required for production-grade delivery, including:
transition & handover planning
architecture, security, and compliance checkpoints
support model and incident response readiness
post-production ownership alignment
Stakeholder Communication & Reporting
Support clear and concise delivery updates.
Translate technical progress into business-friendly summaries.
Act as a secondary point of contact for delivery-related questions.
Success Measures
Success in this role is defined by:
AI solutions move smoothly from prototype to production.
Risks and dependencies are surfaced early.
Releases meet security, performance, and reliability standards.
Stakeholders receive clear, aligned updates.
Technical teams remain focused with reduced coordination overhead.
Required Experience & Skills
8+ years supporting delivery of complex digital, data, or AI initiatives.
Experience coordinating multidisciplinary teams in matrixed environments.
Working knowledge of:
AI/ML delivery life cycles
Agile methodologies & enterprise release processes
Strong capabilities in:
communication with technical & business audiences
Nice to Have
PMP or Six Sigma certification
Experience supporting enterprise AI or advanced analytics programs
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