Project Manager – AI & Data

Key Responsibilities

• Lead projects from initiation to completion, including planning, execution, monitoring, and closure.
• Define project scope, objectives, milestones, deliverables, schedules, and resource requirements.
• Manage project risks, issues, dependencies, changes, budgets, and resources.
• Coordinate with business, technology, risk, compliance, vendors, and regional stakeholders.
• Prepare project status reports, dashboards, governance documents, and management updates.
• Manage JIRA tasks, Kanban boards, daily stand-ups, and project follow-ups.
• Support delivery of AI, GenAI, data analytics, and data platform initiatives.
• Ensure projects follow applicable governance, security, data privacy, and regulatory requirements.
• Manage vendor performance and project financials, including forecasting and cost tracking.
• Conduct post-implementation reviews and document lessons learned.
• Provide guidance and mentoring to junior project managers where required.

Requirements

• Bachelor's degree in Information Technology, Engineering, Business, or a related discipline.
• 8–12+ years of IT project management experience.
• Experience leading large-scale and complex IT projects.
• Demonstrated experience delivering AI, GenAI, data analytics, or data platform projects.
• Experience working in banking or financial services environments.
• Experience managing regional and multi-stakeholder projects.
• Strong stakeholder management, communication, and leadership skills.
• Good understanding of AI, data analytics, cloud platforms, and modern data architecture.
• Strong knowledge of project risk, issue, dependency, financial, and resource management.
• Experience with Agile/Scrum methodologies and JIRA.
• PMP, PRINCE2, Agile, or Scrum certification is an advantage.

EA Number: 11C4879