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| Job Location | Bengaluru/ Bangalore (Karnataka) |
| Education | MBA/ PGDMAny Graduate |
| Salary | As per Industry Standards |
| Industry | CRM/CallCentres/BPO/ITES/Med.Trans |
| Functional Area | Banks/Insurance/Financial Services |
| EmploymentType | Full-time |
D&A Support Re LeadAbout D&A ReThe Digital & Tech Re organization is at the forefront of driving the digital transformation for our reinsurance business units across P&C Re, L&H Re and Solutions. We strive to build an inspiring environment for our people to use data and technology to create a sustainable and strategic competitive advantage.Data & Analytics Re is the data arm of Digital & Tech Re. We create innovative analytics, data science and robust data foundation capabilities to generate data-driven insights that serve the heart of Swiss Res business. Together with our business counterparts in Property & Casualty and Life & Health, we work daily to deliver differentiating insights, elevate underwriting excellence and effectively select and manage risk pools.Our team is composed of an international workforce based in different locations and serving a global customer basis, with a large part of our leadership located in Zurich.About the RoleWere currently seeking an experienced individual to take on the role of leading our L2 Operations Team within Data & Analytics Re. In this critical position, youll be at the forefront of ensuring the smooth operation of our data infrastructure by overseeing incident resolution and data quality management.Your primary focus will be on leading the L2 operations team, driving continuous improvement initiatives, and collaborating closely with stakeholders to address data requirements and concerns.This role offers a unique opportunity to make a significant impact on our organizations data-driven decision-making processes and strategic initiatives. Were looking for someone with a proven track record in data operations and a strong ability to drive change and innovation within a dynamic environment.You will be responsible for:
Keyskills :
data operations management incident resolution expertise leadership and mentorship continuous improvement initiatives stakeholder collaboration big data team player infrastructure leadership skillsforms