SM (AI Portfolio, Delivery & Governance) - 90k

My client is looking for an AI Portfolio Project Manager to support the end-to-end delivery of the AI initiatives. It will drive day-to-day project management activities across multiple AI initiatives, ensuring the initiatives are delivered on time and with clear outcomes.

Job Responsibilities

• Develop and maintain integrated plans for the AI portfolio, including workstreams, milestones, dependencies, and critical paths across initiatives.
• Establish and manage delivery cadences (e.g., status meetings, RAID reviews, steering committees) to ensure alignment across business units, IT teams, data teams, and vendors.
• Support sprint/iteration planning logistics, release planning, user acceptance testing (UAT), and business readiness timelines in collaboration with the AI Product Owner.
• Track and manage cross-initiative dependencies related to data, platforms, security, architecture, and change management; drive timely resolution of conflicts or delays.
• Oversee day-to-day project delivery activities to ensure effective management of scope, schedule, resources, and deliverables.
• Facilitate governance forums such as project meetings, risk reviews, and steering committee sessions; document actions and decisions for transparency.
• Maintain clear documentation of project plans, RAID logs (Risks, Assumptions, Issues, Dependencies), decisions made, and key artifacts to support auditability.
• Coordinate with technology teams to manage environment readiness, release activities, cutovers, and post-release hypercare.

Job Requirements

• Bachelor’s degree in Computer Science, Information Technology Management or a related field; PMP or PRINCE2 certification is preferred.
• 8+ years of experience in project/program management roles within IT or digital transformation environments; experience managing AI/ML-related projects is highly desirable.
• Proficiency in project management tools such as Jira/Azure DevOps or similar platforms.
• Strong understanding of Agile methodologies (Scrum/Kanban) as well as traditional Waterfall approaches.
• Familiarity with enterprise IT systems including data platforms (e.g., cloud-based solutions), security frameworks, architecture principles.
• Exceptional organizational skills with the ability to manage multiple priorities simultaneously.
• Excellent communication skills—both written and verbal—with experience preparing executive-level presentations/reports.
• Strong problem-solving abilities with a proactive approach to identifying risks/issues and implementing solutions.