Global Data Governance Lead - Quality Medicine

Boehringer Ingelheim; Wien; Vor Ort; EUR 82.000 - 101.000; Vollzeit

Benefits dieser Stelle

Flexible working time

Bridge-days

Canteen & Cafeteria

Learning & development

Health promotion

Public transport subsidy

Zusammenfassung

Boehringer Ingelheim is seeking a Data Governance Manager for the Quality Medicine Team in a global role. You will leverage business process analyst expertise to ensure the accuracy, usability, availability and security of data generated in the Quality Medicine department.

In this position you will coordinate data structures, oversee governance standards, and drive BI reporting quality across the organization. Strong communication in English and leadership in pharma data projects are essential.

Qualifikationen

• PhD with GxP experience in pharma or MSc with GxP in pharma.
• PM certification or 5+ years managing complex projects.
• Direct experience as a Process Owner or Lead.
• Proven leadership and knowledge of drug development processes.
• Excellent ability to present content in English to target groups.

Aufgaben

• Lead resolution of Data Governance demands from stakeholders.
• Triaging demands, forming solution teams, ensure BI data structures.
• Develop and oversee governance processes, standards and systems.
• Drive execution of the Data Governance strategy and resources.
• Ensure data integrity enabling advanced reporting and analytics.

Kenntnisse

GxP experience

Project management

Process owner/lead

Leadership skills

English presentation

Ausbildung

PhD

MSc

Jobbeschreibung

Boehringer Ingelheim is seeking a Data Governance Manager for the Quality Medicine Team in a global role. You will leverage business process analyst expertise to ensure the accuracy, usability, availability and security of data generated in the Quality Medicine department.

In this position you will coordinate data structures, oversee governance standards, and drive BI reporting quality across the organization. Strong communication in English and leadership in pharma data projects are essential.