• Own the end-to-end lifecycle of product initiatives from idea to production rollout. • Translate business goals into clear product requirements, epics, and user stories. • Prioritize the backlog using impact-based frameworks (value, effort, compliance, risks). • Define acceptance criteria, ensure requirement clarity, and maintain a clean, structured backlog. • Work closely with Compliance, Operations, Engineering, Finance, and Customer Support teams. • Gather business requirements, negotiate priorities, and align expectations across departments. • Facilitate cross-functional workshops, discovery sessions, and status reviews. • Clearly communicate product decisions, timelines, and trade-offs to internal and external stakeholders. • Collaborate daily with engineering teams to clarify scope, manage dependencies, and unblock delivery. • Maintain deep understanding of SDLC stages and ensure requirements are properly groomed before development. • Validate technical feasibility with architects and developers; manage risks and constraints. • Support QA in test case preparation and participate in UAT to ensure product quality. • Advocate for user-centric product design across customer journeys and internal workflows. • Review wireframes, prototypes, and UI designs to ensure clarity, usability, and consistency. • Use UX analytics tools (heatmaps, session recordings, funnel analysis) to identify pain points. • Translate insights into actionable product improvements and measurable UX outcomes. • Support integrations with payment schemes such as SEPA, SWIFT, Faster Payments, ACH, etc., or support integrations with acquiring, card processing, merchant onboarding, and chargeback flows. • Participate in discussions with banking partners, PSPs, and technical vendors. • Understand regulatory impacts (PSD2, AML/CTF, KYC, VoP/CoP, reporting).

• Own a product area end-to-end: from discovery and roadmap to execution, launch, and iteration. • Understand our users deeply—their workflows, pain points, goals, and contexts. • Collaborate tightly with Engineering and UX to craft intuitive, performant, and impactful product experiences. • Prioritize ruthlessly, balancing long-term vision with immediate value delivery. • Communicate clearly across audiences—technical and non-technical, internal and external. • Work with AI tools in your day-to-day and contribute to the design of AI-native features that enhance user workflows and drive differentiation. • Measure impact: define, track, and improve product and business KPIs. • Raise the bar: uphold strong standards for quality, curiosity, and integrity in how we build.

• Backlog Management and Prioritization: Manage the data product backlog, prioritizing initiatives based on business value and stakeholder needs. Conduct business refinement, prototyping, and backlog generation in collaboration with business teams. • Data Vision and Strategy: Communicate the vision, strategy, and roadmap for data products, aligning them with company objectives. • Definition and Development of Data Products: Collaborate with data teams to design, develop, and launch products such as dashboards, reports, and predictive models. • Communication and Alignment: Act as the focal point for communication, ensuring alignment and fostering a data-driven culture across the organization. • Performance Analysis and Iteration: Monitor and analyze the performance of data products, pursuing continuous optimization.

• Own end to end product design from problem definition through system behavior and user experience. • Author clear, testable, implementation ready specifications. • Define APIs, data models, and interaction patterns in partnership with engineering. • Use AI tools to rapidly iterate on designs, edge cases, and alternative approaches. • Leverage AI to generate and refine product and technical specifications. • Prototype and validate solutions before committing to implementation. • Push product work beyond requirements into hands-on collaboration with development. • Support implementation workflows across front end and back end where needed. • Partner closely with engineering on API design, data modeling, and system architecture. • Participate directly in technical design discussions and tradeoff decisions. • Reduce ambiguity and rework through high quality inputs and shared context. • Apply expertise in one or more domains such as: • Core Banking including account structures, posting models, settlement processes, and data integrity. • Digital Banking including account opening, onboarding workflows, KYC and CIP, and user experience design. • Lending including loan lifecycles, servicing logic, payments, and exception handling. • Payments and Cards including transaction flows, authorization and settlement, and integration patterns.