Amgen's Clinical Computation Platform Product Team manages a core set of clinical computation solutions that support global clinical development. This team is responsible for building and maintaining systems for clinical data storage, data auditing and security management, analysis and reporting capabilities. These capabilities are pivotal in Amgen's goal to serve patients. The Principal IS Architect will define the architecture vision, create roadmaps, and support the design and implementation of advanced computational platforms to support clinical development, ensuring that IT strategies align with business goals. The Principal IS Architect will work closely with partners across departments, including CfDA, GDO, CfOR, CfTI, CPMS and IT teams, to design and implement scalable, reliable, and hard-working solutions. Key Responsibilities: 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 Basic Qualifications: Master's degree with 8 to 10 years of experience in Computer Science, IT, or related field OR Bachelor's degree with 10 to 14 years of experience in Computer Science, IT, or related field OR Diploma with 14 to 18 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 Preferred Qualifications: 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 with DevOps, Continuous Integration, and Continuous Delivery methodology Soft Skills: 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