AI Project Lead

Eva Pharma, Cairo, Egypt

What our tracking knows about this posting

Published on 7 October 2025 · first appeared in our records on 5 October 2026.

Stable posting: first seen on 5 October 2026, with no abnormal reposting.

This posting shows no salary, while 1% of open postings in the same sector in this country (Egypt) do.

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Join EVA Pharma, a leading pharmaceutical company dedicated to empowering the fight for Health and well-being as a fundamental human right. Recognized and certified as a best place to work, we are committed to fostering a supportive and innovative environment for our team members. Job Summary: We are seeking a passionate and talented Senior Product Owner to join our dynamic team. The ideal candidate will contribute to our mission of enhancing human health and well-being, ensuring that we meet the highest standards of excellence in our industry. Key Responsibilities: • Manage the end-to-end delivery cycle of AI products from idea validation through launch and adoption, such as owning & maintaining product backlog, writing user stories, working with Data Science & Engineering teams, monitoring progress & validating results • Collaborate with business leaders to gather requirements, clarify needs, and translate them into actionable product features, • The candidate will be the main point of contact between business stakeholders and technical teams, ensuring transparency and alignment. He will be responsible for communicating priorities & delivery timelines, training stakeholders & End users on new products, driving adoption, and collecting feedback to ensure continuous improvement • Define clear KPIs for measuring product performance and adoption • Facilitate agile ceremonies (backlog grooming, sprint planning, daily stand-ups, sprint reviews). • Bachelor’s degree in engineering, Computer Science, or any related field. • 5-7 years of experience in product management or product owner, with 1+ years focused on AI or data products. • Strong track record of delivering products from concept to launch with measurable business outcomes. • Hands-on experience with agile methodologies (Scrum/Kanban). Strong ability to write clear requirements, user stories, and acceptance criteria. • Experience working closely with data science and engineering teams and strong familiarity with AI/ML concepts and workflows; technical background is a plus.

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