Data Science and AI Engineering Lead, VP
Deutsche Bank
- Location
- Bangalore, Velankani Tech Park
- Work model
- On-Site
- Level
- Staff
- Posted
- Sep 3, 2026
Skills
About this role
Job Description
Job Title: Data Science and AI Engineering Lead , VP Location: Bangalore, India Role Description Driving the creation of new AI solutions for Corporate Banking and Investment Banking Operations and Controls (CBIBOC). As Deutsche Bank enters into a phase where a variety of data and AI development tools are becoming more accessible, we are seeking an experienced Data Scientist and AI Engineer to help drive the implementation of the Corporate Banking and Investment Banking Operations and Controls data, AI and analytics strategy. The role holder will report up to the Head of AI for Corporate Banking and Investment Banking Operations and Controls, and will be a key part of a collaborative, respected and growing team consisting of Data Scientists / AI Engineers, Product Managers, data experts, and transformation leads (~20 individuals based in London, Bangalore, and New York). The role holder will be expected to lead the design, development and implementation of new AI solutions for stakeholders across CBIBOC. These solutions will vary in terms of complexity, but all will have the goal of simplifying and accelerating Operations and Controls activities, achieving cost save targets, and driving revenue growth. The design and development of new AI solutions will be done in collaboration with staff from IT (TDI) and other teams across CBIBOC and Deutsche Bank more broadly. Development activities will range from the use of no-code / low-code platforms (e.g. to build new workflow automations or multi-agent solutions) to the engineering of new data products, models, and scalable AI solutions in collaboration with IT. Your Contribution: You will be instrumental in shaping the future of the CB IB operations and controls landscape by re-imagining how existing processes could be improved using AI, and driving the development of new solutions to make this vision a reality. Its key responsibility is to pioneer the rapid turnaround of new AI solutions to enhance efficiency, increase effectiveness, and drive business growth. This role demands an individual who can lead by example and thrives when collaborating with both technical and non-technical (i.e. business) experts. 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 annual 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 Leadership (20%): Help lead and develop a high-performing Data Science and AI Engineering team Help drive the adoption of AI and analytics best practice across CBIBOC, IT (TDI), and Deutsche Bank more widely Foster a collaborative and innovative team environment, encouraging continuous learning and skill development on topics across AI Stay abreast of industry trends and emerging technologies in data warehousing, business intelligence, and cloud analytics, particularly within the Google Cloud Platform ecosystem. Conduct performance reviews, provide constructive feedback, and support career progression for team members as needed Stakeholder Management and Governance (10%): Help ensure the CBIBOC Data Science and AI Engineering book of work is transparently documented and managed to ensure tasks are efficiently allocated and executed, and progress is easily tracked and reported Ensure AI governance requirements, as mandated by bank policy, regulation, or law, are adhered to for all new solutions developed Provide demos of new solutions, training materials, slides, and other materials as required to support the CBIBOC communication and upskilling agenda Hands-on Development of AI Solutions (70%): Lead by example, working