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Eva Pharma

AI Project Lead

LocationCairo, Cairo Governorate, Egypt
Work modeon-site
Typefull-time
DepartmentDigital Transformation
Company size1,001–5,000 people
First seen1w ago
Last seen1d ago
About the company
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.
About the role
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.
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