Data Systems Manager

6 days ago


San Francisco, California, United States University of California, San Francisco Full time
Job Summary

As a key member of the University of California, San Francisco (UCSF) team, we are seeking a highly skilled Data Systems Manager to join our team. The successful candidate will be responsible for developing and implementing a research enterprise data strategy that aligns enterprise information assets with business and technology strategy.

Key Responsibilities
  • Develop and implement a comprehensive data strategy and roadmap for UCSF Informatics Research, aligning our enterprise information assets with our overall business and technology strategy.
  • Define and implement the research AI strategy and the associated research AI roadmap, ensuring that our organization remains at the forefront of technological advancements.
  • Collaborate with multiple teams and stakeholders, fostering a culture of cooperation and mutual success.
  • Develop a user community, incorporating elements such as user groups, office hours, and colloquiums to promote learning and collaboration.
  • Lead the product support of UCSF research data assets, tools and computational infrastructure, ensuring that our products continue to meet our researchers and customers' needs.
  • Lead the strategy and development of training materials, ensuring that all users are proficient and comfortable with our systems.
  • Lead the communication strategy and outreach program, promoting our services and maintaining open lines of communication with all users.
  • Oversee the supervision, hiring, training, and counseling of staff, as well as the delivery of performance appraisals.
Requirements
  • Bachelor's degree in a related area and/or at least 5 years of equivalent experience/training.
  • 5+ years managing data solutions in the healthcare industry.
  • Understanding of data management principles, including data governance, data quality, and data lifecycle management.
  • Knowledge of data analytics techniques and tools to derive insights from research data.
  • Ability to define and implement technical processes and data systems.
  • Research Domain Expertise: familiarity with the research process and domain-specific knowledge relevant to clinical and biomedical research.
  • Understanding of the needs, challenges, and priorities of researchers.
  • Knowledge of research data infrastructure, including databases, cloud computing, data repositories, and data integration technologies.
  • Awareness of emerging trends and advancements in data technology.
About UCSF

The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care.



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