Lead end-to-end project management for Data & AI initiatives, including scoping, planning, resource allocation, budgeting, and risk management.
Define project objectives, timelines, and deliverables in collaboration with cross-functional teams (data engineers, data scientists, and business analysts).
Monitor progress and manage dependencies to ensure successful project delivery.
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Analyse and document requirements by liaising with a range of people including users and managers, drawing together information needs across a distributed organization
Establish and prepare project plans, risk management plans, project milestones and deliverables in consultation with business users and architect/designer
Develop high cadence within the project team for escalated tracks, including daily stand-up and tracking the Action Items Register.
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Analyse and document requirements by liaising with a range of people including users and managers, drawing together information needs across a distributed organization
Establish and prepare project plans, risk management plans, project milestones and deliverables in consultation with business users and architect/designer
Develop high cadence within the project team for escalated tracks, including daily stand-up and tracking the Action Items Register.
...
Lead end-to-end project management for Data & AI initiatives, including scoping, planning, resource allocation, budgeting, and risk management.
Define project objectives, timelines, and deliverables in collaboration with cross-functional teams (data engineers, data scientists, and business analysts).
Monitor progress and manage dependencies to ensure successful project delivery.
...
Own delivery of the squad's engagement through the FDE lifecycle — Discover, POC, POV, PRR, Scale, Operate — tracking where each workstream sits and what's needed to move it to the next gate.
Plan and execute short-cycle POCs/POVs from concept to evaluation, including receiving and refining scoped opportunities handed off from AI Mission.
Define minimal scope, success criteria, and timelines appropriate to each lifecycle stage; prioritize features based on value, feasibility, and constraints.
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Own delivery of the squad's engagement through the FDE lifecycle — Discover, POC, POV, PRR, Scale, Operate — tracking where each workstream sits and what's needed to move it to the next gate.
Plan and execute short-cycle POCs/POVs from concept to evaluation, including receiving and refining scoped opportunities handed off from AI Mission.
Define minimal scope, success criteria, and timelines appropriate to each lifecycle stage; prioritize features based on value, feasibility, and constraints.
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Mission definition and outcomes: Frame ambiguous, high-stakes domain problems into clear AI mission objectives, success metrics, and delivery roadmaps.
Stakeholder leadership: Build and manage executive-level relationships across customers, partners, and internal leadership; translate needs into actionable AI programs.
AI strategy and portfolio ownership: Prioritize initiatives across domains (e.g., general medicine, GenAI transformation), balancing impact, feasibility, risk, and time- to-value.
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