Data Operations Manager

Company Description

Wockhardt Ltd. is a global pharmaceutical and biotechnology organization committed to providing affordable, high-quality medicines to improve global health. Headquartered in Mumbai, India, Wockhardt operates internationally with full-fledged operations in the USA, UK, Ireland, and France, along with a significant presence in emerging markets. The company employs a diverse workforce of 3,000 professionals from 21 nationalities and runs 3 research centers and 12 manufacturing plants. With innovation as its core, Wockhardt utilizes cutting-edge science and technology to develop products that enhance the quality of life for millions worldwide. Guided by its vision of More & More with Less & Less, Wockhardt continues to pioneer growth, medical breakthroughs, and value creation for its stakeholders.

Role Description

This is a contractual-time on-site role for a Data Operations Manager, located in Mumbai. The Data Operations Manager will oversee and manage data operations, including data center operations, data flow optimization, and compliance with data standards. Daily responsibilities include monitoring and managing operational processes, ensuring efficient data management practices, and addressing data-related issues. The role also involves team management, coordinating resources, and ensuring that operational goals align with business objectives.

Qualifications

• Proficiency in Data Management, including data center operations and data organization practices.
• Strong Operations Management skills, including workflow optimization and process monitoring.
• Excellent Analytical Skills for evaluating data metrics and operational performance.
• Team Management expertise, including resource coordination and leadership abilities.
• Experience in ensuring compliance with data standards and implementing best practices.
• Relevant qualifications such as a Bachelor's degree in Business Administration, Operations, Data Science, or related fields.
• Familiarity with tools and technologies for data and process management is advantageous.