AI Delivery Lead

Role Overview

• Develop and manage high-level project plans, timelines, and budgets — maintaining clear visibility on schedule, cost, and scope without micromanaging task-level execution
• Track milestone health (sprint goals, demo targets, major delivery blocks) and report status (R/Y/G) in internal weekly syncs — escalating Reds and Yellows as risks requiring immediate attention
• Track progress, risks, issues, and dependencies across the engagement — maintaining a living view of what could derail delivery and what is being done about it
• Participate in all governance ceremonies: internal and client kick-offs, stand-ups, retrospectives, and steering committee check-ins
• Ensure deliverables meet quality standards and client expectations before they go out the door
• Serve as the primary client contact for delivery: day-to-day project management, status transparency, and escalation handling
• Provide clear, honest reporting to internal and external stakeholders — leading with what matters, not just what happened
• Build trust with client stakeholders through consistency, follow-through, and the ability to have difficult conversations when delivery is at risk
• Track delivery scope and surface changes early — coordinating with the GM (commercial implications), PM (value and prioritization), and Technical Lead (feasibility) whenever scope shifts
• Own change control from a delivery perspective, ensuring that scope decisions are documented, understood, and agreed across all parties before execution changes
• Coordinate change management activities where applicable: user guides, training plans, communications, and rollout sequencing
• Ensure smooth handoff and adoption of deliverables — including internal readiness at the client to absorb what's being built
• Keep sales, product, and engineering aligned throughout the engagement — acting as the connective tissue that prevents information silos and prevents misalignment from festering into delivery problems
• Drive continuous improvement in delivery processes across engagements, contributing to Tribe's evolving delivery playbook

Requirements

• 5–10 years of delivery, program management, or consulting experience with clear progression into ownership of complex, multi-stakeholder engagements
• Proven track record managing large-scale technical programs — you have personally held accountability for milestones, budget, and client relationships, not just supported someone who did
• Strong consulting or enterprise delivery background — comfortable operating in client-facing environments where expectations are high and ambiguity is the norm
• Product sensibility — you have genuine opinions about what should be built and why, you engage with the decisions behind the deliverables, and you raise concerns when delivery is drifting from business value.
• Disciplined on governance without being bureaucratic — you know how to run a program without creating overhead that slows the team down
• Clear, honest communicator at the executive level — you lead with signal, not noise, and you can have difficult conversations when delivery is at risk
• Comfort with the fast-moving AI landscape — you don't need to be a model expert, but you need enough fluency to ask smart questions and know when the technical ground has shifted
• Experience managing distributed or contractor-based delivery teams across multiple workstreams.

Benefits

• Health insurance
• Remote work options