Chief Research Data Architect

Position Overview

Are you a highly skilled and experienced data architect looking for an exciting opportunity to lead research data initiatives at one of the top universities in the world? UCLA is seeking a Chief Research Data Architect to join our dynamic team. In this role you will develop and implement data architecture strategies to support cutting-edge research projects, advancing our data management capabilities and ensuring the integrity and security of our research data. If you are passionate about data architecture and have a strong background in research data management, we encourage you to apply and be part of a prestigious academic setting.

UCLA is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Key Responsibilities

• Develop and implement data architecture strategies to support research projects at UCLA.
• Lead and manage data architecture projects, ensuring timely and high-quality delivery.
• Collaborate with cross-functional teams to identify data architecture needs and requirements for research projects.
• Design and maintain data models, schemas, and dictionaries for research data.
• Develop and maintain data governance policies and procedures to ensure integrity and security of data.
• Provide technical expertise and guidance to research teams on data management best practices.
• Monitor and analyze data architecture performance, identifying areas for improvement and implementing solutions.
• Stay informed on industry trends and advancements in data architecture, recommending their integration at UCLA.
• Collaborate with IT and security teams to ensure compliance with data privacy and security regulations.
• Train and mentor team members on data architecture principles and practices.
• Communicate regularly with stakeholders to provide updates on data architecture projects and initiatives.
• Participate in the development of data-related policies and procedures.
• Conduct data audits to ensure quality and consistency of research data.
• Troubleshoot and resolve data architecture issues in a timely manner.
• Lead the development and maintenance of comprehensive data architecture documentation.
• Collaborate with external partners and vendors to implement data architecture solutions.
• Provide technical support and guidance during data migrations and integrations.
• Manage and monitor the data architecture budget and resources.