Project Manager

Responsibilities:Lead end-to-end delivery of AI and technology initiatives, ensuring timely execution within approved scope, budget, and timeline.Drive pre-approval activities, including business case development, funding proposals, project sizing, resource planning, and governance approvals.Support procurement and sourcing activities, including RFI/RFP development, vendor evaluations, due diligence, commercial assessments, and approval processes where required.Develop and manage project plans, milestones, risks, issues, dependencies, budgets, and resources.Coordinate across business, technology, architecture, infrastructure, security, risk, compliance, procurement, and vendor teams.Ensure compliance with the Bank's project governance, SDM, architecture, security, risk, procurement, and delivery processes.Drive project governance, stakeholder engagement, management reporting, and executive updates.Facilitate decision-making, issue resolution, and escalation management.Support solution rollout, change management, benefits realization, and adoption tracking.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 knowledge of project governance, SDLC/SDM, risk management, and delivery controls in a regulated environment.• Experience in Responsible AI, AI/GenAI, Data & Analytics, Cloud, or Digital Transformation initiatives is preferred.• 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 pressureKey Domain/ Technical Skills:·  Expert skills in MS excel, Excel Macros, MS power point, Sharepoint.·  Experience in Software Development Cycle and JIRA ·   Good data analysis skills·   Generative AI platforms (Microsoft Copilot, Azure OpenAI, ChatGPT, AI Assistants)·  Prompt Engineering and AI Use Case Design·  Data Analysis and Visualization (Excel, PowerBI, SQL)·   Process Automation (RPA, Power Automate, Workflow Solutions)AI Governance, Model Risk Management, and Responsible AI Principles