Если вы раньше входили через Google, сбросьте пароль для своей Gmail-почты через кнопку «Забыли пароль?» на экране входа. Затем войдите по email и новому паролю.
Если аккаунта ещё нет, зарегистрируйтесь с Gmail-почтой, после подтверждения почты мы предложим задать пароль.
Что нового
Загружаю обновления...
Что нового
Загружаю обновления...
Работа найдется быстрее с подпискойКандидат найдётся быстрее с подпиской
Чтобы адаптировать резюме под вакансию или составить сопроводительное письмо, загрузите резюме
описание
Relocation support is available.
EPAM provides digital platform engineering and software development services, focusing on creating complex digital products and solutions for global markets.
задачи
Shape product direction for Travel-domain solutions by connecting client business goals, customer needs, operational realities, and technical feasibility;
Own and manage the product backlog, priorities, acceptance criteria, and delivery-ready requirements across discovery, refinement, implementation, and validation stages;
Apply business analysis practices to clarify processes, stakeholder needs, business rules, dependencies, risks, assumptions, and expected outcomes;
Drive prioritization and trade-off decisions based on business value, customer impact, feasibility, data dependencies, delivery risks, and timeline constraints;
Align client stakeholders, engineering teams, data/BI teams, vendors, and delivery management around scope, priorities, decisions, and implementation approach;
Support data-driven product areas by ensuring data needs, reporting expectations, validation logic, and business interpretation of outputs are captured;
Use AI tools to improve product analysis, requirements structuring, backlog refinement, documentation, research, and decision preparation.
требования
7+ Years of experience in Product Owner, Technical Product Owner, Lead Business Analyst, System Analyst, or similar roles;
Experience or strong domain understanding in Travel;
Strong product ownership and business analysis background including backlog management, prioritization, scope control, and requirements elicitation;
Ability to work at the intersection of Product Ownership, Business Analysis, Data, and Engineering;
Proficiency in SQL for data analysis, validation, and business logic clarification;
Understanding of backend systems, integrations, APIs, JSON/XML, technical dependencies, and delivery constraints;
AI-ready mindset and hands-on familiarity with AI tools;
Advanced English (C1) for client-facing work;
Nice to have: Power BI or equivalent analysis tools, data platforms, ETL, data validation, data structures, data flows, report/dashboard testing.