Addepto is a leading AI consulting ( https://addepto.com/ai-consulting/ ) and data engineering ( https://addepto.com/data-engineering-services/ ) company that builds scalable, ROI-focused AI solutions for some of the world’s largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth. The company’s work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product – ContextClue – and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide . As part of KMS Technology , a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale. We are looking for a Business Analyst / Product Owner to join a senior delivery team working on the modernization of a business-critical platform in the aviation industry. This role combines business and systems analysis with product ownership , with a strong focus on understanding the technical side of complex systems, including data, integrations, APIs, and existing business logic. You will work closely with client stakeholders, architects, and engineers to understand existing systems and operational processes, design the target state, and translate business needs into clear requirements and a prioritized delivery backlog. 🚀 Your main responsibilities: Analyze the existing solution by reading Java/Spring code, Oracle schemas, PL/SQL, configuration, and data samples to reverse-engineer business rules, validations, message handling, and edge cases. Map current operational processes (manual and semi-automated) through interviews, shadowing, and artifact review with operations staff; identify pain points, workarounds, and risks. Produce As-Is documentation: process maps, integration and data-flow diagrams, business-rule catalogue, and a gap analysis against the existing high-level and technical requirements. Design Target (To-Be) processes for the modernized platform, including exception handling, operational monitoring, and reporting/analytics use cases enabled by Databricks. Define the portals and operational tooling: user roles, user journeys, screen-level functional specifications, wireframes, and the data and APIs each view depends on. Specify business rules, data mappings, and integration behaviour together with architects and engineers, so they can be implemented and tested unambiguously. Define functional aspects of the transition: migration scope, parallel run and cutover scenarios, fallback procedures, and business acceptance criteria for switching over. Own and prioritize the product backlog: epics, user stories, acceptance criteria, and scope trade-offs against the delivery plan. Run workshops and act as the main functional point of contact for client stakeholders, including business owners, operations teams, and IT. Ensure non-functional business needs such as availability, performance, auditability, and data protection are reflected in processes and portal design. Support UAT, accept delivered functionality, and prepare process documentation and user training materials ahead of go-live.