Lead Specialist, Data & Artificial Intelligence Delivery Management

Job description

Why This Role Matters Disciplined delivery management converts Data & AI priorities into reliable, scalable, and measurable business outcomes. The Lead Specialist manages integrated delivery across business, technology, and vendor workstreams. The role strengthens execution discipline, removes delivery barriers, and guides priority initiatives from approved scope through sustainable adoption and value realization. What You Will Deliver Lead Initiative Delivery • Translate approved objectives and scope into integrated delivery plans. • Define milestones, deliverables, dependencies and accountabilities. • Lead delivery cadence across business, technology and vendor workstreams. • Manage initiatives using Agile, waterfall, or hybrid delivery approaches, including sprint planning, backlog coordination, execution tracking, reviews, and retrospectives. • Monitor schedule, scope, quality, cost, risks and issues. Strengthen Delivery Governance • Apply approved delivery standards, stage gates and reporting requirements. • Prepare decision materials and recommendations for governance forums. • Maintain records of plans, decisions, acceptance evidence and closure. Drive Cross-Functional Execution • Align stakeholders on outcomes, priorities, resources and handoffs. • Facilitate resolution of delivery blockers and inter-team dependencies. • Coordinate required finance, procurement, architecture and technology inputs. • Escalate material delivery exceptions with clear recommendations. Enable Value Realization • Define measurable outcomes and track realization through delivery and adoption. • Support transition from pilot to production and enterprise scale-up. Improve Delivery Capability • Capture lessons learned and delivery-performance insights. • Improve delivery methods, templates and ways of working. • Coach delivery contributors on consistent governance and execution practices. What Success Looks Like • Initiatives delivered against agreed scope, milestones and quality. • Early identification and resolution of delivery risks and dependencies. • Clear alignment across business, technology and vendor stakeholders. • Reliable governance, reporting and decision follow-through. • Effective transition into adoption, operations and value realization. • Consistent and repeatable delivery practices across the portfolio

Requirements

• Bachelor’s degree in engineering, computer science, information systems, business, or 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
• Experience delivering data, analytics, AI or digital initiatives and coordinating vendors is preferred
• Integrated planning and scheduling
• Agile and hybrid delivery methods
• Risk and issue management
• Dependency management
• Governance and change control
• Stakeholder management
• Vendor coordination
• Value realization and adoption
• Executive reporting
• Facilitation and negotiation
• Problem solving and decision support

Skills