Product Manager, Big Data & AI Solutions
New
K
KyivstarTelecommunications, Big Data
All (Kyivstar)Full-TimeMiddle
SalaryCompetitive salary and annual bonus
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Job Details
- Languages
- Upper-Intermediate or higher English
- Experience
- 2+ years
- Required Skills
- AgileArtificial IntelligenceBusiness AnalysisMachine LearningProduct ManagementData scienceStakeholder management
Requirements
- Bachelor's degree or above
- 2+ years of experience in Product Management, Business Analysis, Consulting, Innovation or a related role
- Experience managing digital, analytics, AI or data-driven products throughout the product lifecycle
- Strong product discovery, prioritization and roadmap management skills
- Excellent stakeholder management and facilitation skills
- Ability to translate business needs into clear product requirements
- Experience working in Agile environments
- Strong analytical, problem-solving and decision-making skills
- Excellent presentation and communication skills
- Upper-Intermediate or higher English
- Experience with Big Data, Data Science, AI or Machine Learning products will be a strong advantage
- Experience in telecommunications, CRM/CVM, MarTech or digital products will be a plus
Responsibilities
- Build awareness of Big Data capabilities and promote data-driven opportunities across internal business units
- Engage with internal stakeholders to identify business challenges and uncover new product opportunities
- Organize and facilitate brainstorming sessions, workshops, design thinking sessions and other product discovery activities
- Generate new product ideas and use cases based on business needs, market trends and available data assets
- Gather, evaluate, validate and prioritize product hypotheses from internal customers
- Own and maintain the roadmap and backlog of Big Data initiatives for internal business customers
- Define product vision, business requirements, success metrics and implementation priorities
- Lead the end-to-end development of prototypes, Proofs of Concept (PoCs), MVPs and production-ready products
- Coordinate cross-functional teams, including Data Science, Data Engineering, Data Analysis and internal stakeholders
- Manage product testing, pilot launches, user feedback and continuous product improvements
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