Data Quality Expert (DQE)

The Data Quality Expert (DQE) is accountable for creating, maintaining, and optimizing dynamic master and reference data across global Analytics functions within TRD. This role ensures the accuracy, quality, and lifecycle management of data in digital systems, supporting business operations, governance, and decision-making.

Key Responsibilities:

1. Create and maintain global dynamic master and reference data.
2. Support Line Units in transcription/setup of records in IT systems (e.g., LIMS, stability protocols).
3. Coordinate with stakeholders for initiating/updating master data.
4. Support global project teams and line functions on data object requests/changes.
5. Collaborate with governance boards to maintain compliance and standards.
6. Ensure timely updates of global and local master data across all TRD sites.
7. Enhance end-user satisfaction through continuous support and training.
8. Guide and educate users in best practices and key application usage.
9. Optimize system performance and ensure robust IT system integrations.
10. Provide coaching, mentoring, and technical expertise to team members.
11. Promote a learning organization culture and share best practices.
12. Monitor data quality regularly to ensure fitness for use and rule compliance.
13. Produce Data Quality Dashboards as per defined business metrics.
14. Analyse and act on data cleansing/enrichment requests from stakeholders.
15. Enhance the Data Quality strategy, framework, and metrics.
16. Design and implement cleansing and linking strategies.
17. Develop and manage plans for data quality corrections.
18. Work with Data Stewards, Process Owners, and Solution Designers for governance.
19. Execute periodic DQ assessments, KPI tracking, gap analysis, and improvements.
20. Act as a role model for Novartis values and behaviours.

Qualifications:

Education:

• Minimum: Bachelor's/Master’s in Life Sciences or Data Science (e.g., Analytical/Organic Chemistry, Pharmacy, Pharmaceutical Development, IT).
• Desirable: Ph.D. or advanced degree in a relevant discipline.
• Familiarity with digital tools such as eLN, GLIMS, SAP is preferred.

Experience:

• 5–7 years in a relevant role within a GMP environment.
• Strong scientific and technical writing skills.
• Solid understanding of quality and regulatory standards in pharmaceutical development.
• Proven experience with data governance, master data, and IT system integration.

Languages:

• Fluent in English (spoken and written).
• Knowledge of local/site language is advantageous.