
Lead Data Architect designing enterprise data platforms for Swiss Re's commercial insurance arm.
About Swiss Re Corporate Solutions
Swiss Re Corporate Solutions is the commercial insurance arm of the Swiss Re Group. We provide innovative insurance solutions to large and midsized multinational corporations worldwide, helping our clients manage risk and build resilience in an increasingly complex world.
As part of our ambition to become a data-driven commercial insurer, we are strengthening our Data Architecture capability to support strategic business transformation, modern data platforms, and enterprise-wide data governance.
About the Role
We are seeking an experienced Lead Data Architect to act as the senior Design Authority within the Corporate Solutions Data Architecture team.
Reporting to the Head of Data Architecture & Data Engineering, this role provides architectural leadership across a globally distributed team of Data Architects and Data Modellers. The Lead Data Architect is responsible for ensuring the consistent application of architecture standards, reviewing and assuring solution designs, and providing guidance on complex cross-domain data architecture challenges.
The role combines strong business engagement, architecture governance, conceptual, logical and physical modelling expertise, and deep knowledge of modern data platforms. Working closely with business, technology, and governance stakeholders, the Lead Data Architect will help ensure that strategic initiatives deliver scalable, governed, and reusable data solutions.
The role is strategically located in Zurich to enable close collaboration with key stakeholders across Group Data Services (GDS), CorSo Data Governance, CorSo Operational Model Excellence (OMEX), Data & Technology Finance (DT Finance), Business Architecture, and strategic Digital & Technology product teams.
The role is very much focused on constantly improving the data landscape aimed at democratizing our data assets.
Key Responsibilities
About the Team
The Data Architecture team plays a critical role in enabling Corporate Solutions' ambition to become a data-driven commercial insurer.
The team is responsible for ensuring consistent, scalable, and governed data architecture across the insurance value chain, supporting underwriting, claims, finance, operations, customer management, and strategic transformation initiatives.
Working closely with Data Engineering, Data Governance, Business Architecture, and Product teams, the function provides the architectural foundation that enables trusted, accessible, and high-quality data across Corporate Solutions.
About You
You are a highly experienced Data Architect with a strong track record of delivering enterprise-scale data architecture solutions in complex organisations. You are equally comfortable engaging with senior stakeholders, reviewing solution designs, and coaching other architects.
You bring a pragmatic approach to architecture, balancing governance and standards with delivery outcomes and business value.
Demonstrable interest in leveraging Artificial Intelligence (AI) and Generative AI technologies to improve Data Architecture practices, including data modelling, documentation, architecture governance, metadata management, and design productivity.
Required Experience
Personal Attributes
For Switzerland the base salary range for this position is between CHF 128,000 and CHF 192,000 (for a full-time role). The specific salary offered considers:
In the situation where you do not meet all the requirements or you significantly exceed these, the offered salary may be below or above the advertised range.
In addition to your base salary, you may be eligible for additional rewards and benefits including an attractive performance-based bonus
This is an opportunity to shape the future of data architecture at Swiss Re Corporate Solutions, enabling our ambition to become a truly data-driven commercial insurer. You will work in a dynamic, global environment that values curiosity, adaptability, and collaboration.
Swiss Re is an equal opportunity employer. We recruit, hire and promote without regard to race, religion, color, national origin, sex, disability, age, pregnancy, sexual orientations, marital status, military status, or any other characteristic protected by law. Decisions on employment are based solely on an individual's qualifications for the position.
During the recruitment process, reasonable accommodation for disabilities are available upon request. If contacted for an interview, please inform the Recruiter/HR Professional of the accommodation needed.
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 15,000 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.
If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.
We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying.
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