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Job Description & How to Apply Below
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.
- 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:
- 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.
- 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
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