Big Data Academy is a superior successor to a highly popular and successful Big Data School from Kyivstar.
We are looking for a Product Owner who are much encouraged and will lead our efforts to develop an outstanding learning platform offering Big Data content, courses and events (covering Data Mining, Data Analysis, ML, Data Visualization, Big Data for managers etc.).
You will develop and implement a product vision and strategy, build a foundational infrastructure, find and work with content partners and contributors, manage services and features to create best educational experience and outcomes for our customers.
- Identify and evaluate market opportunities and customer needs;
- Create and drive compelling product vision and strategy;
- Build and manage actionable and prioritized roadmaps and requirements;
- Gain and maintain support for your strategy and roadmaps from stakeholders;
- Build and lead cross-functional product team;
- Engage and partner with external providers and experts for product growth success;
- Secure successful product launches and events;
- Owning and driving customer experience.
- Bachelor’s degree or above;
- 3+ years of product management or relevant experience within training, educational or content area;
- Know and understand online educational market and landscape;
- Experience developing and shipping educational programs and practices;
- Experience working in an agile environment;
- Ability to build strong collaborative internal and external partnerships;
- Ability to generate creative ideas and solutions;
- Strong presentation and communication skills;
- Understanding of Big Data concepts and techniques will be a plus.
- A unique experience of working for the largest and most beloved mobile operator in Ukraine;
- Remote work with possibility to visit the office;
- A competitive salary;
- Annual bonus;
- Paid sick leave and vacation;
- Flexible working hours;
- Medical and life insurance;
- Great possibilities for professional development and career growth;
- Friendly & collaborative environment.