Data and Analytics manager

59542 - Data and Analytics Systems and Processes Manager

The opportunity:

Manager Data and Analytics Systems and Processes is responsible for management of operational clinical data supporting Teva R&D Global Clinical Operations- Innovative meds, Biosimilars and generics. Manager Data and Analytics is responsible to support alignment of data related processes- data sources, data transfer to Teva, data capture, verification, metrics, reporting, and analytics. As part of the defined responsibility, the manager will support and lead different 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.

Your experience and qualifications:

• A bachelor’s or higher degree in industrial/bio medical Engineering,
• MIS (Management Information Systems), computer science, healthcare/bio-informatics, or equivalent combination of education and related work experience
• 2-3 years' experience working in data driven environment as a data analyst/project manager/data engineering, or similar in the pharmaceutical industry
• Proficiency with programming languages
• Ability to effectively interact with and influence others without direct reporting relationships.
• Good oral 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
• Functional Knowledge: Understanding of clinical drug development
• Knowledge demonstrated in clinical trials processes and process improvement - advantage