AI Agile Delivery Manager

AI Agile Delivery Manager - Agile, AI Delivery, Business Analysis, Stakeholder Management, Business Applications, UAT

Our global law firm client are actively looking to take on a new AI Agile Delivery Manager (Agile, AI Delivery, Business Analysis, Stakeholder Management, Business Applications, UAT) to join their team on a permanent basis, the firm have recently undergone a major merger with a US law firm, this has enabled a new strategy for both sides to have a much bigger reach.

To be considered for this this role will work closely with the hiring manager in a newly created function which will help to grow the team role, it's ideal that you have:

• 5 years within a similar role (Business Analyst, Product Analyst, Agile methodologist)
• Ideal but not required law-firm experience
• Proven experience with the Agile methodology
• Experience delivering AI solutions

Key Responsibilities

Delivery oversight

• Provide delivery oversight across multiple AI workstreams.
• Support backlog and prioritization activities for teams.
• Create dashboards, trackers and transparent reporting frameworks.
• Support governance and audit readiness.
• Identify delivery risks and coordinate resolution, providing operational rhythm and consistency across AI initiatives.

Coordination

• Oversee day-to-day delivery of AI initiatives, ensuring workstreams progress to plan.
• Support prioritization activities with Product Mangers to maintain clear,
• structured backlogs.
• Surface and manage dependencies, ensuring relevant teams are aligned.

Reporting and governance

• Develop and maintain dashboards, trackers and reporting frameworks thatprovide clear visibility of progress, risks and outcomes.
• Provide regular, concise updates to senior stakeholders.
• Ensure consistent documentation and audit-readiness across all AI workstreams.
• Lead the AI Delivery Excellence board, driving the agenda, coordinating input from relevant stakeholders, and ensuring that outcomes and actions are tracked and delivered.

Risk management

• Identify risks and delivery blockers early, coordinating with relevant teams to drive timely resolution.
• Escalate key risks to leadership with clear articulation and proposed mitigation approaches.