Systems Limited - Egypt · Cairo, Egypt · Posted 2026-05-06
About the Role:We are seeking a highly skilled Technical Product Owner with deep expertise in Data & AI to lead the development of innovative data-driven products and AI solutions. You will bridge the gap between business stakeholders and engineering teams, ensuring that our data initiatives align with strategic objectives and deliver measurable impact.Key Responsibilities:Act as the Product Owner for Data & AI initiatives, managing the product backlog, prioritizing features, and defining user stories.Collaborate closely with Data Engineers, Data Scientists, and AI teams to translate business requirements into technical solutions.Drive the end-to-end lifecycle of AI/ML and data products, from ideation and requirements gathering to deployment and monitoring.Ensure alignment of data strategies with business objectives, including analytics, predictive modeling, and AI use cases.Define technical product roadmaps and drive adoption of best practices in data architecture, governance, and AI deployment.Collaborate with stakeholders to understand their needs and translate them into actionable features.Measure product performance using relevant KPIs and iterate on features for continuous improvement.Stay abreast of the latest trends in AI, machine learning, and data technologies, evaluating opportunities for innovation.Required Qualifications:Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Engineering, or related field.3_4 Proven experience as a Technical Product Owner in data-intensive or AI-focused projects.Strong understanding of data engineering, AI/ML models, data pipelines, cloud data platforms (AWS, Azure, GCP).Experience with analytics, AI/ML frameworks (TensorFlow, PyTorch, scikit-learn), and data visualization tools.Solid knowledge of agile methodologies, backlog management, and working with cross-functional teams.Excellent communication skills to bridge technical and business conversations.Strong problem-solving skills and the ability to make data-driven product decisions.