Senior Application Support Engineer

About D&T Re

The 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.

We create innovative analytics, data science and robust data foundation capabilities to generate data-driven insights that serve the heart of Swiss Re's 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.
 

About the Role

We're currently seeking an experienced individual to take on the role of leading our Data Analytics L2 Operations Team within Data & Tech Re. In this critical position, you'll 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 responsible for supporting various data foundation and analytical report operations, driving continuous improvement, and collaborating closely with stakeholders to address data requirements and concerns.

This role offers a unique opportunity to make a significant impact on our organization's data-driven decision-making processes and strategic initiatives. We're 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:

• Leading L2 Operations Team: Oversee the L2 operations team responsible for resolving incidents and issues in data feeds and loads in aspects of data quality, accuracy, consistency, and completeness
• Ability to triage both technical and process related issues impacting data ingestion, enrichment and reports related to data foundations (ADM) and downstream data products.
• Ensure compliance with data policies and regulations.
• Stay up to date with the latest data analytics tools, techniques, and industry trends. 
• Driving Continuous Improvement: Drive continuous improvement initiatives to streamline data processes, enhance operational efficiency, and optimize data quality. Identifying areas for automation and implementing solutions to minimize manual intervention.
• Collaborating with Stakeholders: Working closely with stakeholders across the organization to understand data requirements, address concerns, and prioritize initiatives. Building strong relationships with business partners to ensure alignment between data initiatives and organizational goals.
• Monitoring Performance Metrics: Establishing key performance indicators (KPIs) and metrics to monitor the effectiveness of data quality and operational processes. Regularly analyzing performance data to identify trends, areas for improvement, and opportunities for optimization.

About you

The ideal candidate will possess extensive experience in managing operations for applications and IT domains with a strong foot hold in data management techniques. You will possess strong analytical skills, attention to detail, and the ability to thrive in a fast-paced environment. Excellent communication and collaboration skills are essential, as this role requires working closely with cross-functional teams and stakeholders spanning both business and technical partners. The candidate must demonstrate a proactive and results-driven approach to problem-solving, with a focus on driving continuous improvement and innovation in data quality and operational processes.

If you are eager to shape the next generation of data foundations in the reinsurance industry and make an impact, then join us in an extraordinary world class data & analytics organization and become part of the transformation of a leading Reinsurance company.

Your experience

• Minimum of 10 years of experience in designing / implementing and operating data enrichment and analytics solutions.
• Strong knowledge and hands-on experience supporting Database Management system (Oracle/MSSQL etc.), Data Integration (ETL) tools (Informatica/Talend etc.) and Data Warehouse solutions (Palantir Foundry/Snowflake etc.)
• Ability to triage issues around Data Analysis tools Business Intelligence (BI) platforms and visualization tools like Power Bi / Tableau etc.
• Knowledge on Cloud-based data platforms and Data Lake solutions would be an added advantage.
• Strong experience in providing efficient incident management, data quality management and data governance.
• Strong leadership skills with the ability to mentor and guide a team effectively.
• Demonstrated ability to drive continuous improvement initiatives and streamline data processes.
• Excellent communication and stakeholder management skills, with the ability to collaborate effectively across teams and departments.
• Reinsurance industry experience is highly valued.

 Behavioral Competences

• Excellent organizational skills.
• Excellent communication and presentation skills; ability to communicate on different levels of seniority.
• Team player; enjoying being part of a cross-functional setup.
• Ability to perform well on time-critical endeavors and on multiple fronts at the time.
• Strong dedication to quality and 'client' mindset.
• A passion for learning and continuous improvement, both of yourself and your team members.