Job Description:
Job Title: Corporate Bank Technology – Cash Management – AI Lead - VP
Location: Bangalore, India
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applying advanced Artificial Intelligence and Machine Learning techniques to analyze, document, refactor, and migrate outdated systems to a modern, cloud-native architecture.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.
What we’ll offer you
As part of our flexible scheme, here are just some of the benefits that you’ll enjoy
- Best in class leave policy
- Gender neutral parental leaves
- 100% reimbursement under childcare assistance benefit (gender neutral)
- Sponsorship for Industry relevant certifications and education
- Employee Assistance Program for you and your family members
- Comprehensive Hospitalization Insurance for you and your dependents
- Accident and Term life Insurance
- Complementary Health screening for 35 yrs. and above
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).
How we’ll support you
- Training and development to help you excel in your career
- Coaching and support from experts in your team
- A culture of continuous learning to aid progression
- A range of flexible benefits that you can tailor to suit your needs
About us and our teams
Please visit our company website for further information:
https://www.db.com/company/company.html
We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.
Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.
We welcome applications from all people and promote a positive, fair and inclusive work environment.