Associate Manager - Data Quality

Jul 28, 2021

Job Description

365 days a year, our global manufacturing and supply network works to ensure our patients have the treatments they need to live longer, healthier lives.

Job Purpose:
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.

Your responsibilities include but not limited to:
• Analyze 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.
• Execute plan for Data Quality corrections for various functions and light house projects. Liaise with the Data Stewards, Data Champions and Data Solution Designer to execute continuous and active Data Governance
• Roll out periodical Data Quality assessments, DQ critical metric measurements, Gap analysis & Continuous improvement to ensure that active Data Governance is achieved, and data quality meets business need and align with mandatory standards.
• Serve as 1st Level contact for a worldwide Informatica Analyst user community and provide user trainings on DQ process and guidelines.
• 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. Perform root cause analysis on data inconsistencies highlighted by users and recommending improvements. Capture business requirements for data management functionality and translating the information to developers to help building effective information flow. Develop and confirm data dictionary rules ensuring business understands the rules and its value for improving data quality.
• Ensure adherence to the established Data quality processes, which includes 100% compliant to training completion for self and associates, proactive CAPA update and preparation for audit readiness.

Minimum Requirements

• Bachelors / Master’s degree from reputed University in Pharma, Computers or IT or equivalent
• 4+years of experience in Data Quality Management projects with hands on experience in relevant technologies like Informatica or equivalent ETL tools, SQL or PL/SQL.
• Excellent analytical skills with experience in creating reports and dealing with large volume of data
• Experience of working in multicultural self-directed team
• Very good understanding of Master Data and Data governance concepts

Why consider Novartis?
799 million. That’s how many lives our products touched in 2019. And while we’re proud of that fact, in this world of digital and technological transformation, we must also ask ourselves this: how can we continue to improve and extend even more people’s lives?
We believe the answers are found when curious, courageous and collaborative people like you are brought together in an inspiring environment. Where you’re given opportunities to explore the power of digital and data. Where you’re empowered to risk failure by taking smart risks, and where you’re surrounded by people who share your determination to tackle the world’s toughest medical challenges.
Imagine what you could do at Novartis! Commitment to Diversity & Inclusion:
Novartis embraces diversity, equal opportunity and inclusion. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration, and empowers our people to unleash their full potential.
Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to learn more about Novartis and our career opportunities, join the Novartis Network here:
Novartis Technical Operations
Hyderabad, AP
Technical Operations
Full Time
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Associate Manager - Data Quality

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