Big Data Project Manager
Pubblicato il 17-08-2026 - Altro in Albenga
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 initiati