Summary

Novartis Technical Operations (NTO) Global Operations Center (GOC) Data Governance team is setup to develop and maintain the right metadata, master data, data quality parameters, data lineage, KPI reports and workflows to ensure that data is governed, consistent, reliable and easily accessible for decision-making while ensuring data is maintained across NTO as per Pharmaceutical regulatory and compliance requirement.
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Data Quality Manager drive a strong Data Quality Management culture within team particularly focusing on improving Master Data Quality and enabling Master Data Governance by publishing KPIs & Reports. Drives Data Quality enhancement across the organization for consistency, correctness and completeness. Support and facilitate data enabled decision making for Novartis internal customers by providing quality data

• E2E Responsibilities
  • Analyze complex data quality enrichment and cleansing requests from Data Stewards and Data Champions
  • Envision the Data Quality strategy, metrics and framework
  • Implement data cleansing and linking strategy as per documented data quality improvement strategy
  • Plan and execute Data Quality corrections for various functions and light house projects Liaise with the Data Stewards, Data Champions and Data Solution Designer to realize agenda of continuous and active Data Governance
  • Responsible for rolling out the periodical Data Quality assessments, DQ KPI measurements, Gap analysis & Continuous improvement to ensure that active Data Governance is achieved, and data quality meets business need and complies with mandatory standards
  • Develop training materials, documents on scope of the reports, data quality rules and various data governance modules
  • Provide analytical support to business by publishing Excel/QlikView/QlikSense reports for Data quality
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  • Perform root cause analysis on data inconsistencies highlighted by users and recommending improvements.
  • Develop and confirm data dictionary rules ensuring business understands the rules and its value for improving data quality
  Adherences
  Adherence to the Novartis Values & Behaviors
  • Ensure exemplary communication with all stakeholders including internal associates through regular updates with focus on accomplishments, KPIs, best practices, change management, key events, etc.
  • Implement continuous process improvement projects to improve data quality & productivity.
• Support
  • Successful implementation of Data Governance framework and processes
  • Be the change catalyst and champion for data governance and data quality
  • Provide guidance and set standards of functional excellence in methodologies, processes and SOPs to enable enhancement of Global & Local data operations
  • Support management in adoption, stabilization and sustain data governance.