Big Data Project Manager - Kyivstar

08 ago - Albenga
Kyivstar

Responsibilities

Identify, analyze and validate new cross-business synergy opportunities within the KGL ecosystem at intersection of telco, healthtech, ride-hailing and e-commerce services Initiate, structure and drive cross-functional synergy projects leveraging KGL assets, including Big Data, audiences, channels and digital platforms Organize, coordinate and align internal and external stakeholders Prepare, present and defend project concepts, commercial models and business cases Evaluate project feasibility, business impact and implementation scenarios Manage end-to-end project delivery, including planning, alignment, execution tracking, launch and follow-up Monitor project KPIs, timelines, dependencies and post-launch results Drive development of new Big Data products, partnerships, integrations and customer value proposition Analyze market trends, competitors and emerging Big Data/ AI opportunities Facilitate workshops and alignment meetings to accelerate decision-making and execution Drive collaboration and synergy between KGL companies to unlock new revenue streams and customer growth opportunities Requirements

2+ years of experience in project management, product management,



business development or consulting roles Experience managing cross-functional and multi-stakeholder projects Experience in telecom, adtech, healthtech, ride-hailing and/or e-commerce industries will be a plus Understanding of Agile/Scrum project delivery approaches and cross-functional collaboration models Understanding of Big Data, AI/ML and/or customer data platforms Ability to transform business ideas into structured initiatives, business cases and actionable execution plans Experience preparing business cases, presentations, project documentation and management reports Strong analytical, problem-solving and structured thinking skills Strong communication, presentation and stakeholder management skills Ability to work in fast-changing environments and manage multiple parallel initiatives Proactive, self-driven and result-oriented mindset Upper-Intermediate or higher English level We offer

Work on large-scale data solutions with real operational usage Remote-friendly work format with flexible hours Competitive salary and annual performance premio Paid vacation and sick leave Medical and life insurance Professional development and career growth opportunities Supportive, expert-level team environment

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