Principal IS Architect – Clinical Computation Platform

• Develop and maintain the enterprise architecture vision and strategy, ensuring alignment with business objectives
• Create and maintain architectural roadmaps that guide the evolution of IT systems and capabilities
• Establish and enforce architectural standards, policies, and governance frameworks
• Evaluate emerging technologies and assess their potential impact on the enterprise/domain/solution architecture
• Identify and mitigate architectural risks, ensuring that IT systems are scalable, secure, and resilient
• Maintain comprehensive documentation of the architecture, including principles, standards, and models
• Drive continuous improvement in the architecture by finding opportunities for innovation and efficiency
• Work with partners to gather and analyze requirements, ensuring that solutions meet both business and technical needs
• Evaluate and recommend technologies and tools that best fit the solution requirements
• Ensure seamless integration between systems and platforms, both within the organization and with external partners
• Design systems that can scale to meet growing business needs and performance demands
• Develop and maintain logical, physical, and conceptual data models to support business needs
• Establish and enforce data standards, governance policies, and best practices
• Design and manage metadata structures to enhance information retrieval and usability

• Any degree with 13 to 17 years of experience in Computer Science, IT or related field
• Proficiency in designing scalable, secure, and cost-effective solutions
• Expertise in cloud platforms (AWS, Azure, GCP), data lakes, and data warehouses
• Experience in evaluating and selecting technology vendors
• Ability to create and demonstrate proof of concept solutions to validate technical feasibility
• Strong knowledge of Clinical Research and Development Domain
• Experience working in agile methodology, including Product Teams and Product Development models

• Strong solution design and problem-solving skills
• Experience in developing differentiated and deliverable solutions
• Ability to analyze client requirements and translate them into solutions
• Experience with machine learning and artificial intelligence applications in clinical research
• Strong programming skills in languages such as Python, R, or Java
• Experience of DevOps, Continuous Integration, and Continuous Delivery methodology
• Excellent critical-thinking and problem-solving skills
• Good communication and collaboration skills
• Demonstrated awareness of how to function in a team setting
• Demonstrated awareness of presentation skills

Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards