
Senior Information Technology Architect
3 days ago
Our team is responsible for building and maintaining systems that support global clinical development. This involves creating and maintaining enterprise architecture visions, ensuring alignment with business objectives, establishing architectural standards, policies, and governance frameworks, evaluating emerging technologies, identifying and mitigating architectural risks, maintaining comprehensive documentation of the architecture, driving continuous improvement in the architecture, working with partners to gather and analyze requirements, ensuring seamless integration between systems and platforms.
Key Responsibilities:- Define the architecture vision and create roadmaps to support clinical development, ensuring IT strategies align with business goals.
- Work closely with partners across departments to design and implement scalable, reliable, and hard-working solutions.
- 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.
- Master's degree with 8-10 years of experience in Computer Science, IT or related field OR Bachelor's degree with 10-14 years of experience in Computer Science, IT or related field OR Diploma with 14-18 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.
- 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.
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