Document Digitization/ Unstructured-to-Structured Solutions Lead, AVP

Job Description: Job Title: Document Digitization/ Unstructured-to-Structured Solutions Lead Corporate Title: Assistant Vice President Location: Bangalore, India Role Description We are seeking an Assistant Vice President to act as Product Owner for document digitisation and unstructured-to-structured data solutions across Operations. This role sits within the Operations Transformation function and is responsible for shaping and delivering products that convert unstructured content (e.g. emails, PDFs, trade documents, client communications) into structured, actionable data embedded within core operational workflows. You will partner closely with Operations stakeholders to define problem statements and with Technology teams to design, build, and deploy scalable solutions that drive efficiency, control, and client experience improvements. This is a high-impact role at the centre of transforming Operations through AI, automation, and data. The successful candidate will play a pivotal role in redefining how unstructured information is leveraged to drive intelligent, automated workflows across the bank. 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 Product Ownership & Strategy Own the end-to-end product vision, roadmap, and backlog for document digitisation and data extraction solutions Define product strategy aligned to Operations priorities (efficiency, risk reduction, scalability, client outcomes) Translate business problems into clear product requirements, user stories, and acceptance criteria Prioritise features based on value, feasibility, and measurable business outcomes Operations Engagement & Problem Definition Partner with global Operations teams to identify high-value use cases involving unstructured data Diagnose pain points across document-heavy workflows (e.g. onboarding, trade lifecycle, reconciliations, client servicing) Lead structured discovery to define requirements and success criteria Act as a single point of accountability between Operations and transformation/product teams Technology Partnership & Delivery Work closely with Technology, AI/ML, and platform teams to design scalable digitisation solutions, with strong understanding of human-in-the-loop implementation Ensure solutions are integrated into target workflows (case management, workflow tools, downstream systems) Drive agile delivery through backlog refinement, sprint planning, and iterative releases Ensure alignment with enterprise architecture and data strategy Embedding into Operational Workflows Ensure solutions are not standalone tools but embedded within end-to-end operational processes Partner with workflow and case management teams to integrate outputs into decision-making flows Define and monitor SLAs, controls, and exception handling processes Adoption, Scaling & Value Realisation Drive adoption across business lines through strong change management and stakeholder engagement Monitor usage, performance, and business impact using data and telemetry Identify enhancement opportunities and continuously improve product performance Deliver measurable outcomes (e.g. STP improvements, turnaround time reduction, cost savings, risk reduction) Your skills and experience Domain & Functional Expertise Strong experience in Investment Banking / CIB Operations (e.g. Trade Processing, Payments, Securities, Client Onboarding) Deep understanding of document-heavy workflows and associated risks and inefficiencies Experience with digitisation, OCR, NLP, or AI-based document processing solutions Product & Delivery Expertise Proven experience as a Product Owner or Product Manager in a complex, enterprise environment Strong understanding of agile delivery models and product lifecycle management Ability to translate business needs into clear technical requirements and prioritised backlogs Technology & Data Understanding Working knowledge of AI/ML, document digitisation, and data extraction technologies Understanding of workflow tools, case management platforms, and system integration Ability to engage credibly with engineering and architecture teams Leadership & Stakeholder Management Strong stakeholder management across Operations, Technology, and senior leadership Ability to influence without authority in a matrixed organisation Experience driving global change across distributed teams Core Competencies Problem structuring and analytical thinking Outcome-driven mindset with focus on measurable impact Strong communication and storytelling skills Ability to operate at both strategic and execution levels Data-driven decision making 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 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: 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.