Data Quality

Found in: beBee jobs GB - 2 weeks ago

London, Greater London, United Kingdom Swiss Re Full time

About D&A 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.

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 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, with a large part of our leadership located in Zurich.

About the Role

We strive to enhance the success and impact of our Data Foundation; data assets' growth is accelerating in our organization and new analytics techniques are emerging (e.g. ) that open new horizons to our business. Trust and high availability of our data is paramount.

We are seeking a dynamic individual to join our team as a Data Quality and Operations Lead. Working hand in hand with the Data Governance Lead, this role is pivotal in ensuring the accuracy, reliability, and integrity of our data, which is being stored in a Data Foundation and then used in many Analytics and Operational Data Products. The role will combine a mix of operational and project responsibilities we create a world class data platform in conjunction with the Technical Leads and Business Product Owners.

You will be responsible to:

  • Lead Data Quality Initiatives: Implement tools and processes to enhance visibility into data issues across various systems. Proactively identify and address data quality issues to maintain high standards of accuracy and reliability.
  • Manage Data Quality Processes: Develop and maintain robust data quality frameworks and standards. Collaborate with cross-functional teams to establish best practices for data management and governance.
  • Lead L2 Operations Team: Oversee the L2 operations team responsible for resolving incidents and issues in data feeds and loads. Provide guidance, support, and mentorship to ensure timely resolution of issues impacting data foundations (ADM) and downstream data products.
  • Drive Continuous Improvement: Drive continuous improvement initiatives to streamline data processes, enhance operational efficiency, and optimize data quality. Identify areas for automation and implement solutions to minimize manual intervention.
  • Collaborate with Stakeholders: Work closely with stakeholders across the organization to understand data requirements, address concerns, and prioritize initiatives. Build strong relationships with business partners to ensure alignment between data initiatives and organizational goals.
  • Monitor Performance Metrics: Establish key performance indicators (KPIs) and metrics to monitor the effectiveness of data quality and operational processes. Regularly analyse performance data to identify trends, areas for improvement, and opportunities for optimization.
  • Stay Updated on Industry Trends: Stay abreast of industry trends, best practices, and emerging technologies related to data management, quality assurance, and operational excellence. Continuously seek opportunities to enhance skills and knowledge to drive innovation and excellence.

About you

The ideal candidate will possess extensive experience in experience managing operations for applications and IT domains with a flair for data. 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 7 years of experience in data management, quality assurance, or related field.
  • Demonstrated experience leading data quality initiatives, including implementing tools and processes to enhance data visibility and resolve issues.
  • Proven track record in managing operational teams and driving incident resolution in data feed and load environments.
  • Strong understanding of data quality frameworks, standards, and best practices.
  • Proficiency in data management technologies such as data lakes, SQL databases, data warehouses, and ETL tools and data analysis tools and technologies, such as SQL, Python, or similar.
  • Knowledge of Palantir Foundry would be or similar big data platforms.
  • Ability to effectively communicate complex technical concepts to non-technical stakeholders.
  • Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
  • Bachelor's degree in computer science, information systems, or related field; advanced degree preferred.
  • Reinsurance industry experience is highly valued.
  • Excellent verbal and written English skills.

Behavioural 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 endeavours 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.

About Swiss Re


Swiss Re is one of the world's leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.


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Reference Code: 129339

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