Haibo Jiang
IT Business Partner - R & d @Neurocrine Biosciences
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WORK HISTORY
IT Business Partner - R & d @Neurocrine Biosciences
San Diego, CA, US
EDUCATION
Wuhan University
Bachelor of Science (BS), Biology
Wuhan University
Master of Science (MS), Cell Biology
University of Cincinnati
Master of Science (MS), Cell Biology
University of Cincinnati
Master of Science (MS), Computer Science
SKILLS
ABOUT HAIBO JIANG
With over two decades of experience in the Biotech, Medical Device, and Pharma industries, I bring robust technical, management, and leadership skills to the table. My track record includes successful collaboration with R&D, Drug Supply Chain, and Manufacturing Business Functions, as well as cross-functional teams such as IT Security/Infrastructure, PMO, Quality, Compliance, and Legal. I specialize in managing business relationships, establishing technology roadmaps, leading the selection, implementation, and operational support of technology solutions, driving business outcomes, realizing benefits from technology investments, and creating business value.Key Roles and Responsibilities:• IT Partner, Advisor & Leader for R&D and Tech Ops: Ensuring IT alignment, engagement, and enablement to support R&D, Drug Supply Chain, and Manufacturing activities and objectives.• IT Strategy, Roadmap, and Initiative; Digital Transformation: Spearheading the development and execution of IT strategies, roadmaps, and initiatives, with a focus on digital transformation.• IT Project and Business Application Portfolio Management: Managing the entire lifecycle, from ideation and proposal to budgeting, initiation, planning, execution, forecasting, benefit analysis, and risk management.• IT Business Operation: Overseeing the delivery and support of technology solutions, including team management, service management, vendor management, computerized system validation (CSV), system development life cycle (SDLC), and cross-functional business partnership and collaboration.• Technology Governance and Best Practices: Implementing best practices in business process and workflow modeling, concept/domain/data modeling, data warehousing (DW), master data management (MDM),(big) data analytics, business intelligence (BI) and reporting, and the practical use of AI/ML in Biotech and Pharma R&D.
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