AI Product & Delivery Lead

Job summary

Identify and prioritize AI opportunities with business stakeholders, own AI product roadmaps and backlogs, and lead cross-functional teams through delivery. Drive adoption and change management, measure realized business benefits, and report progress and recommendations to executives.

Job details

Key Responsibilities Business Engagement & AI Opportunity Discovery • Partner with business leaders, and operational stakeholders to identify AI opportunities aligned to strategic priorities. • Facilitate workshops, interviews, and design-thinking sessions to uncover pain points and high-value use cases. • Translate business challenges into prioritized AI initiatives and product backlogs. • Assess use-case feasibility, business value, implementation complexity, and organizational readiness. Product Ownership & Prioritization • Serve as Product Owner for AI initiatives throughout the delivery lifecycle. • Define business outcomes, success metrics, KPIs, and value realization objectives. • Maintain and prioritize AI product roadmaps and backlogs. • Balance competing stakeholder demands while ensuring alignment with organizational goals. Delivery Leadership • Lead cross-functional teams through agile delivery processes. • Coordinate business stakeholders, subject matter experts, architects, data teams, and AI practitioners. • Manage scope, risks, dependencies, decisions, and stakeholder communications. • Ensure solutions are delivered on time and aligned to agreed business outcomes. Adoption & Change Management • Develop stakeholder engagement and adoption strategies. • Support business process changes required to embed AI solutions into daily operations. • Coordinate user testing, feedback collection, training, and communications. • Monitor adoption metrics and drive continuous improvement initiatives. Benefits Realization • Establish measurable business outcomes for each initiative. • Track realized benefits against business cases and success criteria. • Identify opportunities to scale successful AI solutions across the institution. • Provide executive reporting on progress, outcomes, and strategic recommendations. Required Qualifications • Experience leading AI, analytics, data, automation, or technology-enabled business initiatives. • Strong stakeholder management and executive communication skills. • Proven experience facilitating workshops and requirements discovery sessions. • Experience serving as Product Owner or similar business-facing product leadership role. • Strong understanding of Agile and Scrum delivery methodologies. • Ability to translate complex business requirements into actionable delivery plans. • Experience driving organizational change and user adoption. Preferred Qualifications • Experience with Generative AI, Copilot, AI Agents, Machine Learning, or Intelligent Automation initiatives. • Experience in higher education, public sector, or large enterprise environments. • Familiarity with Azure AI, Microsoft Copilot, Power Platform, or related AI platforms. Certification in Product Ownership, Agile, Scrum, Lean, Design Thinking, or Change Management.

What you’ll do

Identify and prioritize AI opportunities with business stakeholders, own AI product roadmaps and backlogs, and lead cross-functional teams through delivery. Drive adoption and change management, measure realized business benefits, and report progress and recommendations to executives.

Requirements

Requires experience leading AI, analytics, data, automation, or technology-enabled initiatives, along with product ownership, Agile or Scrum delivery, stakeholder engagement, and requirements discovery. Candidates should be able to translate business needs into delivery plans and drive organizational change and user adoption; experience with Generative AI, Copilot, AI Agents, Machine Learning, or relevant platforms is preferred.

Listed skills

• Stakeholder Management · Preferred
• Scrum · Preferred
• Change Management · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• AI Opportunity Discovery
• Stakeholder Management
• Product Ownership
• Agile Delivery
• Scrum
• Requirements Discovery
• Workshop Facilitation
• Product Roadmapping
• Backlog Prioritization
• Business Case Assessment
• Cross-Functional Leadership
• Change Management
• User Adoption
• Benefits Realization
• Executive Communication
• Generative AI

Job areas

• Technology
• Management & Leadership
• Data & Analytics
• Software
• Consulting