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Technology Manager

Location: Dubai
Salary: Based on experience
Job Code: 239/001/474
Industry: Healthcare/Pharma

Job Brief:
Our client is seeking a highly skilled and innovative Technology Manager to lead the technical evolution of their pharma platform. The ideal candidate will deeply understand software architecture, data engineering, and AI/ML technologies. This role is pivotal in driving system enhancements, unlocking the value of their data, and positioning their platform at the forefront of the industry.

Job Responsibilities:
  • Platform Architecture: Oversee the architecture and design of the pharma platform, identifying areas for improvement and optimization. Lead the technical roadmap for platform upgrades and rewrites to enhance functionality and scalability.
  • AI/ML Integration: Research, evaluate, and implement cutting-edge AI and ML technologies to augment platform capabilities. Develop AI-driven solutions to address complex business challenges within the pharma industry.
  • Data Engineering: Establish robust data pipelines and infrastructure to collect, process, and store platform data. Ensure data quality and integrity for effective analysis and monetization.
  • Data Monetization: Identify opportunities to derive value from platform data through data products, insights, or partnerships. Develop data monetization strategies and execute on them.
  • Team Leadership: Build, develop, and lead a high-performing team of engineers and data scientists. Foster a culture of innovation and continuous learning.

Job Requirements:
  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • Minimum of 7 years of experience in software development, with at least 3 years in a leadership role.
  • Proven expertise in platform architecture, design, and development.
  • Strong proficiency in programming languages (e.g. Python, Java, C++) and data engineering tools (e.g. SQL, Hadoop, Spark).
  • In-depth knowledge of AI/ML algorithms and their application in the healthcare or pharma industry.
  • Experience in data analysis, modeling, and visualization.
  • Excellent problem-solving, analytical, and decision-making skills.
  • Strong leadership and communication abilities.
  • Experience with cloud platforms (AWS, Azure, GCP).
  • Knowledge of pharma industry regulations and compliance requirements.
  • Experience with data privacy and security best practices.

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