Big Data Project Manager

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 bonus

• Paid vacation and sick leave

• Medical and life insurance

• Professional development and career growth opportunities

• Supportive, expert-level team environment