Lead the initiation, planning, execution, and monitoring of local aggregation payment projects, overseeing payment channel integration, system implementation, merchant acquisition, and customer service.
Coordinate internal and external resources to resolve project bottlenecks and operational challenges.
Continuously monitor operational KPIs such as:
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The ideal candidate has a strong eye for visual design, exceptional UX thinking, and is comfortable leading design discussions throughout the product development lifecycle. If you're passionate about creating products that delight users while balancing business goals and technical feasibility, we'd love to hear from you.
UI & UX Design: Design intuitive, user-friendly interfaces and seamless user experiences for web and mobile applications while ensuring usability and accessibility best practices.
Client & Stakeholder Collaboration: Work closely with international clients, developers, product managers, product strategists, and internal stakeholders to translate business requirements into effective design solutions.
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You're endlessly curious about people, brands and culture. You naturally ask "why", connect the dots and enjoy understanding what drives behaviour, shapes perceptions and influences decisions.
You build relationships naturally. You juggle priorities, follow through on your commitments and earn the trust of colleagues, clients and partners alike. Dependable is your middle name.
When plans change, you stay calm, adapt quickly and focus on solutions. You welcome feedback, see challenges as opportunities to grow, and bring curiosity, resilience and a genuine desire to keep learning every day.
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Build and operate the harder engineering layers of a solution when projects demand it: orchestrated pipelines, worker-based and event-driven architectures, stream processing, and scaling for data volume and concurrency.
Own solution quality: data validation, model evaluation, reproducibility, performance, and operational reliability (monitoring, alerting, failure recovery).
Lead and mentor a team of junior data scientists and analysts; review their work, unblock them technically, and grow their skills.
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