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- Aufgaben: Lead the charge in shaping data quality processes globally.
- Arbeitgeber: Join a top-tier global organization in the pharmaceutical manufacturing sector.
- Mitarbeitervorteile: Enjoy a full-time role with opportunities for international collaboration and innovation.
- Warum dieser Job: Be at the forefront of data quality management and explore AI applications in a diverse team.
- Gewünschte Qualifikationen: Bring extensive experience in data quality management and fluency in German and English.
- Andere Informationen: This is a mid-senior level position in a dynamic, greenfield environment.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
A leading global organisation is seeking an experienced Data Quality Manager to join their team. This role offers the opportunity to shape data quality processes within a dynamic, international environment.
The Role:
- Develop and implement a Data Quality Management framework in a greenfield setting.
- Establish clear visibility of data quality metrics for stakeholders worldwide.
- Design and execute comprehensive data quality strategies.
- Serve as the primary contact for data quality matters and act as a trusted business partner.
- Investigate potential applications of Generative AI in Data Quality Management.
- Work within an international, diverse team.
Your Experience:
- Extensive experience in data quality management.
- Background working in large, globally operating organizations.
- Strong communication skills and the ability to manage diverse stakeholders.
- Fluency in both German and English
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Information Technology
Industries
- Pharmaceutical Manufacturing
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Data Quality Manager Arbeitgeber: MAM Gruppe
Kontaktperson:
MAM Gruppe HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Quality Manager
✨Tip Number 1
Familiarize yourself with the latest trends in data quality management, especially in the pharmaceutical manufacturing sector. This knowledge will help you speak confidently about how you can implement effective data quality strategies.
✨Tip Number 2
Network with professionals in the field of data quality management. Attend industry conferences or webinars to connect with potential colleagues and learn about best practices that you can bring to the role.
✨Tip Number 3
Prepare to discuss your experience with data quality metrics and frameworks. Be ready to share specific examples of how you've successfully implemented data quality processes in previous roles.
✨Tip Number 4
Highlight your fluency in both German and English during conversations. Being able to communicate effectively with diverse stakeholders is crucial for this role, so make sure to showcase this skill.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Quality Manager
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Quality Manager position. Understand the key responsibilities and required skills, especially the emphasis on data quality management and experience in large organizations.
Highlight Relevant Experience: In your CV and cover letter, focus on your extensive experience in data quality management. Provide specific examples of how you've developed and implemented data quality processes in previous roles, particularly in international settings.
Showcase Communication Skills: Since strong communication skills are essential for this role, include examples that demonstrate your ability to manage diverse stakeholders. Highlight any experiences where you acted as a trusted business partner or primary contact for data quality matters.
Tailor Your Application: Customize your application materials to reflect the company's values and the specifics of the job. Mention your fluency in both German and English, as this is crucial for the role, and consider discussing any relevant experience with Generative AI in Data Quality Management.
Wie du dich auf ein Vorstellungsgespräch bei MAM Gruppe vorbereitest
✨Showcase Your Data Quality Expertise
Be prepared to discuss your extensive experience in data quality management. Highlight specific projects where you developed and implemented data quality frameworks, especially in large, globally operating organizations.
✨Demonstrate Communication Skills
Since strong communication skills are crucial for this role, practice articulating your thoughts clearly. Be ready to explain how you've managed diverse stakeholders and facilitated collaboration in previous roles.
✨Familiarize Yourself with Generative AI Applications
Research potential applications of Generative AI in Data Quality Management. Be ready to discuss innovative ideas on how these technologies can enhance data quality processes during the interview.
✨Prepare for a Diverse Team Environment
As this role involves working within an international and diverse team, be prepared to share experiences that demonstrate your ability to work effectively in multicultural settings. Highlight any language skills, particularly in German and English.
