Lead Specialist, Data & Artificial Intelligence Delivery Management

Role purpose

Delivery and governance

• Translate approved objectives and scope into integrated plans, milestones, deliverables, dependencies, and accountabilities.
• Lead delivery cadence across workstreams using Agile, waterfall, or hybrid methods, including sprint planning, backlog coordination, tracking, reviews, and retrospectives.
• Monitor schedule, scope, quality, cost, risks, and issues.
• Apply delivery standards, stage gates, and reporting requirements; prepare governance decision materials and recommendations.
• Maintain plans, decisions, acceptance evidence, and closure records.
• Align stakeholders on outcomes, priorities, resources, and handoffs; facilitate resolution of blockers and inter-team dependencies.
• Coordinate finance, procurement, architecture, and technology inputs, and escalate material exceptions with recommendations.
• Define measurable outcomes, track realization through delivery and adoption, and support transition from pilot to production and enterprise scale.
• Capture lessons and performance insights, improve delivery practices and templates, and coach contributors on governance and execution.

Minimum qualifications

• Bachelor’s degree in engineering, computer science, information systems, business, or a related discipline.
• Project Management Professional (PMP) certification is required.
• 7–10 years of experience in project, program, or technology delivery, including complex cross-functional initiatives.

Preferred experience and skills

• Experience delivering data, analytics, AI, or digital initiatives and coordinating vendors is preferred.
• Skills include integrated planning, Agile and hybrid delivery, risk and issue management, dependency management, governance, change control, stakeholder management, vendor coordination, and value realization.
• The role also calls for executive reporting, facilitation, negotiation, problem solving, and decision support.

Success outcomes