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 pressure

Key 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