Lead Technical Project Manager – AI Initiatives & Governance

About the Role

We are seeking an experienced, driven Senior Project Manager to lead the delivery of our enterprise artificial intelligence and responsible AI initiatives. In this pivotal role, you will lead end-to-end technology programs, including AI gateways, advanced platforms, infrastructure modernisation, AI-driven software development lifecycle (SDLC) enhancements, and innovative business use cases. You will collaborate closely with multidisciplinary stakeholders to ensure scalable, secure, and ethical AI deployment across our operations.

Key Responsibilities

• End-to-End Delivery: Manage technology and transformation initiatives from inception through implementation, ensuring alignment with scope, budget, and milestones.
• Strategic Planning & Governance: Orchestrate pre-approval workflows, including developing robust business cases, funding requests, resource optimisation, and corporate governance approvals.
• Procurement & Vendor Partnerships: Guide sourcing lifecycles, including requests for proposals (RFPs), rigorous vendor evaluations, commercial risk assessments, and compliance due diligence.
• Program Management: Maintain precise project tracking frameworks, including milestone monitoring, dependency management, budget forecasting, and risk mitigation strategies.
• Cross-Functional Collaboration: Partner effectively with business units, technology teams, enterprise architecture, cybersecurity, risk management, compliance, and procurement divisions.
• Stakeholder Engagement: Facilitate executive reporting, clear escalation channels, decision-making forums, and comprehensive change management programs to foster organisational adoption.

Key Requirements

• Minimum of 15 years of progressive experience managing complex technology transformations within the banking or financial services sector.
• Proven background in project initiation, financial business case formulation, vendor procurement, and rigorous delivery governance.
• Deep familiarity with project governance frameworks, software development lifecycles (SDLC/SDM), and internal control mechanisms within highly regulated environments.
• Direct experience or familiarity with Responsible AI, Generative AI, cloud migrations, data analytics, or broad digital transformation initiatives.
• Exceptional communication, executive presentation, and stakeholder management competencies tailored for cross-functional alignment.
• High resilience, self-motivation, and the agility to navigate ambiguity and competing priorities under tight delivery schedules.

Technical & Domain Competencies

• Project Management & Collaboration Tools: Advanced proficiency in data structuring, presentation platforms, document collaboration spaces (e.g., SharePoint), and Agile tracking platforms (e.g., JIRA).
• AI & GenAI Capabilities: Practical knowledge of generative platforms (such as Microsoft Copilot, Azure OpenAI, and custom AI assistants), prompt engineering methodologies, and AI use case design.
• Data Proficiency: Strong analytical capabilities utilising structured data tools (Advanced Excel, Power BI, SQL).
• Process Automation: Familiarity with robotic process automation (RPA) and workflow optimisation tools (e.g., Power Automate).
• AI Ethics & Risk: Working understanding of AI governance protocols, model risk management frameworks, and core Responsible AI principles.
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