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Big Data Innovation Product Manager

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Big Data Innovation Product Manager

Київстар

Big Data Innovation Product Manager

Skills

SQL QueriesBig DataProduct ManagementData ScienceDesign ThinkingData AnalysisMachine LearningAIProduct ManagerMarket Research

1 month ago

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Important information


Contract type:

Permanent

Location:

Kyiv, Ukraine, 02000

Work mode:

Remote

Published on:

26 September 2026

What they need


As a Big Data Innovation Product Manager, you will lead one of our Innovation Teams responsible for discovering and validating the next generation of Big Data products and features. Your mission is to identify new market opportunities, deeply understand customer problems, validate business hypotheses through customer discovery, prototypes and MVPs, and transform promising ideas into scalable product concepts. You will work at the intersection of customer needs, technology, AI and data, collaborating with cross-functional teams to build the future Big Data product portfolio.

Responsibilities

  • Lead product discovery activities to identify new market opportunities and customer problems.
  • Conduct Customer Discovery (CusDev), user interviews and market research to validate customer needs and business opportunities.
  • Build and prioritize a hypothesis backlog aligned with company strategy and growth objectives.
  • Define experimentation plans and success metrics for product hypotheses.
  • Design, launch and evaluate prototypes and MVPs to validate product feasibility, desirability and commercial potential.
  • Analyze customer feedback, product usage and business metrics to make evidence-based product decisions.
  • Work closely with Data Science, Engineering, UX, Analytics and Business teams throughout the innovation process.
  • Prepare validated concepts, business cases and product documentation for handover to Core Product Teams.
  • Monitor industry trends, emerging technologies and competitors to identify future innovation opportunities.
  • Foster a culture of experimentation, rapid learning and continuous innovation within the whole Big Data team.

Requirements

  • 2+ years of experience in Product Management, Product Discovery, Innovation Management or a related role.
  • Experience with Big Data, AI/ML, AdTech, MarTech or Data Products.
  • Experience working with B2B products.
  • Strong understanding of Lean Startup, Design Thinking and product discovery methodologies.
  • Hands-on experience conducting customer interviews, validating hypotheses and running product experiments.
  • Experience launching prototypes, MVPs or new digital products.
  • Strong analytical mindset with the ability to interpret customer insights and product metrics.
  • Knowledge of experimentation frameworks, A/B testing and data-driven decision making.
  • Excellent stakeholder management and communication skills.
  • Ability to influence cross-functional teams without direct authority.
  • Strong business acumen and customer-centric thinking.
  • Upper-Intermediate English or higher.
  • Familiarity with SQL, analytics tools or product analytics platforms Would be a plus.

We offer

  • A unique opportunity to shape the future of Big Data products at Ukraine's leading telecom operator
  • Work on high-impact initiatives that create value across multiple business functions
  • Collaboration with experienced business, data and technology professionals
  • Remote work with the possibility to visit the office
  • Competitive salary and annual bonus
  • Paid vacation and sick leave
  • Flexible working hours
  • Medical and life insurance
  • Professional development and career growth opportunities
  • A friendly, collaborative and innovation-driven working e

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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