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Data & Ai Product Management Lead (M/F/X)

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.Sector Data & AI Location Lisbon Employment Type Full-time TEKEVER spans several markets and covers a vast set of technological areas and, currently, the company focuses its research activities on the Air Ray class of autonomous systems. Our mission is to bring to our customers the actionable intelligence they need to make the best decisions faster. Job Overview: As the Data & AI Product Management Lead, you will be responsible for the end-to-end management of our data and AI product portfolio. This role involves developing and executing product strategies, leading cross-functional teams and ensuring the successful delivery of AI-powered solutions that meet market needs and drive business growth. The ideal candidate will have extensive experience in product management, with a strong background in data science, AI and a proven ability to lead and inspire teams. What will be your responsibilities: Strategic Vision: Define and articulate the product vision, strategy and roadmap for the data and AI product portfolio, aligned with the company's overall objectives; Leadership: Lead and mentor a team of product managers, fostering a collaborative and high-performance culture; Product Development: Oversee the entire product lifecycle from ideation and development to launch and post-launch optimization. Ensure that products are delivered on time, within scope and with high quality; Roadmap Planning: Create and maintain a detailed product roadmap that outlines key milestones, deliverables and timelines; Stakeholder Management: Work closely with data scientists, engineers, business analysts, marketing, sales and customers to gather requirements, prioritize features and ensure alignment with business goals. Product Development: Lead the product development lifecycle, from ideation and design to implementation, testing and release. Ensure that AI models and data solutions meet high standards of quality, scalability and performance; Work closely with data scientists, engineers, hardware teams and other team members to deliver innovative AI and data solutions; Manage the product backlog, including writing clear and actionable user stories and acceptance criteria; Prioritize and sequencethe backlog according to business value and customer needs; Lead sprint planning and reviews; Performance Metrics: Define and track key performance indicators (KPIs) to measure product success. Utilize data-driven insights to make informed decisions and drive continuous improvement; Monitor product performance and gather feedback to inform future development; Own the end-to-end delivery of the Data & AI products within your portfolio; Stay up-to-date with industry trends and emerging technologies in AI and data