AI Project Manager (Banking)

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, IT, Engineering, Data Science, or related field.
• PMP / Prince2 / Agile / Scrum certifications preferred.
• Strong understanding of AI, Machine Learning, Data Analytics, and Generative AI concepts.
• Experience managing banking or financial services technology initiatives.
• Knowledge of banking operations and digital banking ecosystems.
• Experience with Agile and Digital Transformation programs.

Key Responsibilities

• Lead and manage AI initiatives and innovation programs across banking functions.
• Identify AI/GenAI use cases aligned with business objectives and transformation goals.
• Coordinate with business teams, Data Scientists, architects, and vendors for AI solution implementation.
• Define project scope, roadmap, timelines, governance, and delivery plans.
• Evaluate feasibility, business impact, ROI, and risks of AI initiatives.
• Drive AI adoption and digital transformation across departments.
• Ensure compliance with banking regulations, data privacy, and security standards.
• Conduct stakeholder workshops, requirement gathering sessions, and solution discussions.
• Prepare management presentations, status reports, and steering committee updates.
• Support implementation of initiatives related to:
• Generative AI
• Intelligent Automation
• Fraud Detection
• Customer Analytics
• Predictive Analytics
• Chatbots & Virtual Assistants
• Risk & Compliance Automation
• AI-based Decision Systems
• Work with PMO teams for governance and project tracking.
• Coordinate UAT, change management, deployment, and post-production support.

Preferred Technical Exposure

• Generative AI & LLM initiatives
• AI Governance & Responsible AI
• Data Platforms & Data Governance
• API & Microservices Architecture
• Power BI / Tableau
• Python / SQL understanding
• Automation platforms (RPA)
• AI-enabled customer engagement platforms