Project Manager, AI (Banking, 1-year renewable contract)

Key Responsibilities
Project Planning & Delivery
Lead end-to-end delivery of Responsible AI and enterprise AI initiatives, ensuring projects are delivered within approved scope, budget, and timelines.
Oversee initiatives involving AI platforms, AI Gateway, AI Hub, enterprise platform enhancements, infrastructure upgrades, AI-enabled software development lifecycle (SDLC) capabilities, and AI use case adoption.
Develop and manage project plans, milestones, budgets, resources, risks, issues, and dependencies.
Project Initiation & Procurement
Drive project initiation activities, including business case development, funding proposals, project sizing, resource planning, and governance approvals.
Support procurement and sourcing activities, including RFI/RFP preparation, vendor evaluations, due diligence, commercial assessments, and approval processes.
Stakeholder & Vendor Management
Coordinate across business, technology, architecture, infrastructure, security, risk, compliance, procurement, and vendor teams.
Drive stakeholder engagement, facilitate decision-making, resolve issues, and manage escalations.
Provide regular management reports, project updates, and executive presentations.
Governance, Risk & Compliance
Ensure adherence to project governance, SDLC/SDM, architecture, security, risk, procurement, and delivery processes.
Monitor project risks, issues, dependencies, and delivery controls within a regulated environment.
Implementation & Change Management
Support solution rollout, change management, and adoption of AI platforms and capabilities.
Track benefits realisation and measure adoption of AI use cases and enterprise AI solutions.
Key Requirements
15+ years of experience leading complex technology and transformation programmes within the banking or financial services industry.
Strong experience in project initiation, business case development, funding approvals, procurement, vendor management, and delivery governance.
Good understanding of project governance, SDLC/SDM, risk management, and delivery controls in a regulated environment.
Experience in Responsible AI, Generative AI, data and analytics, cloud, or digital transformation initiatives is preferred.
Knowledge of AI governance, model risk management, and Responsible AI principles.
Familiarity with Generative AI platforms such as Microsoft Copilot, Azure OpenAI, ChatGPT, and AI assistants.
Understanding of prompt engineering, AI use case design, and process automation solutions such as RPA and Power Automate is advantageous.
Proficiency in Microsoft Excel, including macros, PowerPoint, and SharePoint; experience with JIRA is preferred.
Experience with data analysis and visualisation tools such as Power BI and SQL is an advantage.
Strong stakeholder management, communication, and executive presentation skills, with the ability to engage business, technology, risk, and compliance stakeholders.
Self-driven and resilient, with the ability to navigate ambiguity, manage competing priorities, and deliver results under pressure.