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AI Project Lead

šŸ‡ŖšŸ‡¬ Egypt

Management

Machine Learning

Project Management

Data Science

AI Project Lead

from šŸ‡ŖšŸ‡¬ Egypt

Join EVA Pharma, a leading pharmaceutical company dedicated to empowering the fight forĀ 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 forĀ our team members.

Job Summary:

We are seeking a passionate and talentedSenior Product Owner to join our dynamic team. TheĀ ideal candidate will contribute to our mission of enhancing human health and well-being,Ā 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 resultsĀ 
  • Collaborate with business leaders to gather requirements, clarify needs, and translate them into actionable product features,Ā 
  • 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 adoptionĀ 
  • Facilitate agile ceremonies (backlog grooming, sprint planning, daily stand-ups, sprint reviews).
  • Bachelorā€™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.
by @maxrusakovic