Corporate Bank Technology - Cash Management - AI Lead, VP

Role Description

We are seeking a visionary AI-Powered Legacy Modernization Architect to lead the strategic transformation of our Core technology systems. This critical role involves applying advanced Artificial Intelligence and Machine Learning techniques to analyze, document, refactor, and migrate outdated systems to a modern, cloud-native architecture. The successful candidate will drive innovation, reduce technical debt, enhance operational efficiency, and ensure our technology landscape is future-ready and aligned with business objectives.

Your key responsibilities

Strategic Planning: Develop and execute a comprehensive, AI-driven roadmap for modernizing enterprise legacy applications, focusing on high-impact areas like security, scalability, and cost reduction. AI-Driven Analysis & Documentation: Utilize generative AI and ML tools to automatically crawl, analyze, and translate complex, undocumented legacy code (e.g., COBOL, older .NET frameworks) into clear business specifications and documentation. Automated Code Transformation & Refactoring: Oversee the use of AI-powered platforms to automate the conversion of obsolete programming languages into modern, scalable code, minimizing manual effort and errors. Cloud Migration Strategy: Design and implement strategies for transitioning applications to cloud-based environments (e.g., AWS, Azure, GCP), leveraging AI for performance monitoring and risk assessment during the migration phases. Automated Testing and QA: Implement AI-driven automated testing frameworks to ensure thorough regression testing and quality assurance, identifying bugs and vulnerabilities faster than traditional methods. Data Integration & Analytics: Lead the process of migrating and integrating data from disparate legacy silos into a unified, AI-enhanced data platform, enabling predictive analytics and real-time insights. Security and Compliance: Strengthen system security using AI-powered tools for continuous threat detection and automated compliance checks, ensuring adherence to the latest data privacy regulations. Collaboration and Upskilling: Partner with IT and business stakeholders to foster a culture of innovation and provide guidance and training to existing teams on working alongside AI tools and modern technologies.

Your skills and experience

Education and Experience

Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field. Minimum 5+ years of experience in AI, ML, or data science, with at least 2+ years in a leadership role. Technical Skills

Proficiency in Python, R, or other programming languages. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch). Familiarity with natural language processing (NLP) and LLM architecture. Knowledge of data management platforms (e.g., Hadoop, Spark, BQ, ADX). Proven experience in enterprise architecture, software modernization, or a similar leadership role within a complex IT landscape. Deep expertise in AI, Machine Learning, and Generative AI technologies, specifically their application in code analysis, refactoring, and data migration. Strong understanding of modern cloud-native architectures, microservices, and DevOps methodologies. Proficiency in evaluating and selecting the right AI tools and external partners for specific modernization challenges. Leadership and Management

Proven track record of leading high-performing teams and driving results-oriented projects. Experience with Agile methodologies and Scrum frameworks. Exceptional problem-solving skills, strategic thinking, and the ability to bridge the gap between legacy systems and future business needs. Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders and manage cultural change within the organization. Good to Have

Certifications: Relevant certifications in Data Science, Analytics, etc. Industry Knowledge: Experience working in the financial services industry, preferably in a global bank setting. Cloud Computing: Familiarity with cloud computing platforms (e.g., GCP, AWS, Azure).