Deutsche Bank—Data Science and AI Engineering Lead, VP

Job description

Description: 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 with other Squad members to design, develop, and implement novel AI solutions - Partner with business stakeholders and other Squad members to understand their needs and priorities, and identify new opportunities for the development or use of AI solutions - Ensure new AI use cases (Squad projects) are rigorously evaluated and prioritized based on expected ROI, strategic alignment, technical feasibility and risk - Ensure all new AI solutions are thoroughly tested, validated, controlled (e.g. implementation of guardrails, access permissions, etc.), and monitored on an ongoing basis - Ensure all new AI solutions are recorded in a centralized inventory and brought through the required approval steps prior to production implementation - Track against agreed KPIs to demonstrate the effectiveness and value of each AI solution (e.g. costs and benefits as well as accuracy/consistency/performance) Your skills and experience - Demonstrable experience using both classical Machine Learning algorithms/models and cutting-edge AI tools to deliver new solutions into production at a tier 1 / G-SIB bank, ideally in the context of Operations or Control functions (e.g. KYC, AML, surveillance) - Demonstrable experience using Data Science / AI developer tools and platforms such as Github, VS Code, PyTorch, TensorFlow, scikit-learn, MLflow, Weights and Biases, Jupyter Notebook, Hugging Face, Langchain, Langgraph, Google Vertex, Neo4J, etc. - Experience using no-code / low-code AI tools to rapidly generate new AI and automation solutions (e.g. Microsoft AI Builder / Power Automate, Google AI Studio, Claude Cowork, etc.) - Experience with front-to-back AI solution design and architecture, particularly the design of agentic AI solutions - Demonstrable experience with data / feature engineering, data product creation, and modern data solutions such as BigQuery, Looker, PostgreSQL, Pinecone, Spark, Clickhouse, MongoDB, Redis, Databricks, Denodo, Snowflake, etc. - Strong knowledge of current best practice for AI risk management across the solution lifecycle, and how to leverage technology to implement these controls (e.g. from development, testing, and validation of new solutions to setting access controls/permissions, implementing guardrails, and automating performance monitoring and reporting / dashboards) - Ability to write / review Python code and experience using AI coding assistants (Claude Code, Github Copilot, etc.). SQL and Java experience desirable but not essential. - Experience developing production-grade software within a Software Development Lifecycle (SDLC) control framework - Strong stakeholder management, collaboration, and communication skills (both written/visual communications, e.g. data visualization and PowerPoint presentations, and verbal) - The ability to balance people management, hands-on development work, and governance activities in a flexible day-to-day manner. - The desire to grow and learn, keep up with the latest developments and new AI offerings emerging across the industry, and progress their Data Science / AI career. Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs. 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 the progression of your career - 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.