Posted 9 months ago
Senior Product Lead / AI
AI Summary
Senior Product Lead / AI at EVA Pharma in Cairo. Owns end-to-end delivery of AI products, collaborates with data science and engineering, translates business requirements into features, drives adoption, and defines KPIs.
About this role
Senior Product Lead / AI
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).
Requirements
- 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.
Skills
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