PM Financial Management & Gen AI

Main Responsibilities

• Design and implement robust programme management structures for the Generative AI initiative.
• Establish governance frameworks, steering committees, and reporting cycles to drive transparency and accountability.
• Monitor risks, issues, dependencies and ensure timely escalation and resolution.

Scope Definition and Planning:

Lead the scoping phase, working closely with business leaders to define clear objectives, success criteria, and key deliverables.

Develop comprehensive project plans, resource estimates, and implementation roadmaps.

Coordinate with technology teams to ensure alignment between business ambitions and technical possibilities.

Stakeholder Engagement:

Facilitate workshops, interviews, and stakeholder meetings to understand requirements and capture business needs.

Serve as the primary point of contact for programme updates, feedback, and change requests.

Champion clear communication channels between executive leadership, technical teams, and end users.

Requirements Gathering and Analysis:

Elicit, analyse, and document detailed business and technical requirements for Generative AI solutions.

Reimagine and redesign processes ahead of automation to enable smarter solutions and achieve better ROI

Translate business ambitions into actionable technical specifications, user stories, and acceptance criteria.

Evaluate existing processes and propose innovative improvements enabled by Generative AI.

Implementation Oversight

Oversee end-to-end delivery of Generative AI projects, ensuring milestones are met and quality is maintained.

Manage third-party vendors, partners, and cross-functional teams.

Drive change management efforts, including training, documentation, and user adoption strategies.

Performance Measurement and Continuous Improvement:

Define and track KPIs for programme success, user satisfaction, and business impact.

Implement feedback loops to iterate and optimise Generative AI solutions post-launch.

Lead post-implementation reviews and lessons-learned sessions.

Key Skills and Competencies

• Strategic Programme Leadership: Proven experience leading enterprise-level transformation programmes, ideally within digital or AI domains.
• Advanced Business Analysis: Expertise in requirements elicitation, process mapping, and solution design.
• Technical Acumen: Deep understanding of Generative AI technologies, architectures, and their business applications.
• Stakeholder Management: Skilled at engaging, influencing, and aligning diverse business and technical audiences.
• Change Management: Ability to drive organisational change, champion adoption, and maintain momentum throughout delivery.
• Communication: Exceptional written, verbal, and presentation skills; adept at simplifying complex concepts for varied audiences.
• Problem Solving: Analytical thinker with a track record of resolving risk, managing ambiguity, and delivering innovative solutions.
• Delivery Focus: Purposeful, with a relentless drive to achieve deadlines and exceed expectations.

Qualifications & Experience

• Bachelors or master’s degree in business administration, Information Technology, Computer Science, or a related discipline.
• 5+ years’ experience in programme management and business analysis, preferably within AI, technology, or data-driven sectors.
• Demonstrated success in scoping and delivering complex technology programmes with measurable impact.
• Experience with Generative AI platforms, tools, and implementation best practices Personal Attribute
• Certifications such as PMP, PRINCE2, CBAP, Agile/Scrum, or equivalent are highly desirable.