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.