Data and Analytics Systems and Processes

The Data and Analytics Systems and Processes Manager is responsible for managing operational data supporting Teva R&D Global Clinical Operations.
The data and Analytics Manager is responsible for supporting the alignment of data-related processes, including data sources, data transfer to Teva, data capture, verification, metrics, reporting, and analytics. As part of the defined responsibility, the manager will support data driven, AI and BI projects, as required by the business.

How you’ll spend your day

Management and implementation of reporting and analytics mechanisms and tools including requirements, definition, configuration, testing and validation
Initiate activities related to data integrity and capture. Ensure data received and captured in global clinical operation systems is accurate and complete
Support for GCO Metrics, vendor metrics, oversight methodologies and identify and use industry benchmarks to evaluate process success and business performance in different fields
Development and implementation of organizational surveys to ensure consistency and appropriate levels of performance oversight
Support systems and processes team in the development of systems including analysis, design, development, implementation and support of business processes and information solutions (new and ongoing)
Support initiation and implementation of AI/ML and BI capabilities within GCO
Collaborate with Teva internal interfaces (IT, clinical operation, clinical development etc) and external suppliers (CROs, Suppliers etc.) for supporting department related tasks and projects
Develop departmental Job Aids and WI, as needed.
Work as part of a professional team with technology
Other tasks assigned by direct manager or as business needs require.
Travel Requirements:

Domestic and international as needed.
דרישות התפקיד
A Bachelor’s or higher degree in industrial/biomedical Engineering, MIS (Management Information Systems), computer science, healthcare/bio-informatics,
or equivalent combination of education and related work experience
up to 3 years' experience working in data driven environment as data analyst/project manager/data engineering, or similar in pharmaceutical industry
Proficiency with programming languages
Ability to effectively interact with and influence others without direct reporting relationships.
Good verbal and written communication skills in English
Experience developing AI/ML projects
Experience working in a global company/environment
Knowledge of advanced Microsoft programs- PowerApps, PowerBI, Co-pilot etc
Programming capabilities - Excel VBA, SAS, SQL- advantage
Experience working with "Veeva" platforms- advantage
Understanding of clinical drug development
Knowledge demonstrated in clinical trials processes and process improvement- advantage