The AI Delivery Lead is responsible for orchestrating the end-to-end delivery of our multi-component AI platform, ensuring all workstreams; engineering, data, product, design, QA, and vendor partners move in lockstep. Working in close collaboration with a Delivery Manager who owns day-to-day technical execution, the Delivery Lead focuses on program-level orchestration, stakeholder navigation, and delivery governance across all workstreams. This role ensures that timelines, requirements, dependencies, and quality standards are consistently met across a complex ecosystem involving agents, MCPs, media processing, and data-driven functionality.
You will be the connective tissue of the program, creating structure, removing blockers, and ensuring clarity for teams building a world-class AI toolset. Success in this role requires strong technical delivery experience, exceptional communication skills, and the ability to manage multi-team execution in a fast-moving environment.
Program & Project Leadership
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Own the integrated program view across all workstreams, maintaining a master delivery plan that reflects dependencies, milestones, risks, and resource allocation at the program level, in close coordination with the Delivery Manager who owns sprint-level execution
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Ensure the delivery narrative remains coherent and visible to leadership at all times, translating ground-level progress into clear program-level status, decisions needed, and forward-looking risk signals
Cross-Functional Coordination
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Manage alignment across engineering, product, design, QA, data/ML teams, and third-party partners at the program level, working in tandem with the Delivery Manager who holds the day-to-day operational relationship with the development team
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Support main stakeholders in navigating organizational and political complexity across business units with competing priorities, maintaining a clear and unified delivery direction at the executive level.
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Identify, communicate, and escalate (technical, operational, resourcing, or vendor-related) with clear context and recommendations for decision-makers.
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Ensure all teams have the access, documentation, assets, and clarity needed to deliver their work, removing structural blockers that fall outside the Delivery Manager's execution perimeter.
Quality, Documentation & Testing
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Establish and govern documentation frameworks across technical architecture, workflows, releases, and change management, ensuring consistency and traceability at the program level
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Ensure the platform is fully validated before major milestones and releases, with clear stakeholder sign-off.
Stakeholder Management
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Serve as the primary delivery interface with senior leadership and executive stakeholders, providing clear, concise, and timely updates on program progress, risks, blockers, burn rates, team health and priorities.
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Work closely with the Product Owner to ensure that scope, and sequencing remain aligned to business goals, and that trade-off decisions are surfaced and resolved at the right level
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Manage expectations across internal and external teams, ensuring transparency and predictability.
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Manage governance and decision-making touch points, escalating concerns early with clear context and recommendations, and ensuring that all relevant stakeholders remain informed and aligned.
Operational Readiness & Rollout
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Coordinate go-to-market and operational handoff activities, including training, knowledge transfer, and support models.
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Champion continuous improvement of delivery practices as the product scales.
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Ensure post-launch monitoring, incident management processes, and continuous improvement rhythms are in place.
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Support recruiting and selection of delivery and operations talent to strengthen execution capability as the organization grows.
AI Delivery & Governance
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Ensure that responsible AI practices are embedded into the delivery process (model evaluation, bias-testing, data/security compliance, and HITL processes)
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Partner with legal/compliance on data governance, privacy across all applicable regulatory obligations for data handling, storage and AI outputs.
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Oversee model deployment workflows in close coordination with engineering for versioning, monitoring, drift detection and rollback processes.
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7–10+ years of experience in digital delivery, technical program management, or a similar role.
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Proven experience managing large-scale, multi-stream technical delivery programs (Agentic/AI/ML, data, or platform builds preferred).
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Agile certified (an asset)
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Deep understanding of Agile frameworks (Scrum or Kanban) including backlog prioritization, sprint planning, and close collaboration with a cross-functional development team
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Strong understanding software development lifecycles, agile methodologies, and release management.
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Strong understanding of AI product lifecycles
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Experience partnering with legal/compliance and security teams.
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Exceptional communication, facilitation, and stakeholder management skills.
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Experience with tools such as Jira, Confluence, Miro, Figma and cloud-based monitoring or delivery platforms.
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Ability to simplify complexity and drive structure in fast-moving, ambiguous environments.
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You can tackle anything thrown your way. You are excited by figuring out things they’ve never done before. You do not have “that’s not my job” in their vocabulary.
