Description
GSK's Enterprise Systems team designs and delivers digital platforms that power critical processes, ensuring efficiency, compliance, and scalability across the enterprise. The Legal, Compliance & WREF Digital & Tech team drives product roadmaps and manages platforms that safeguard GSK's integrity and reputation globally.
The Legal, Compliance + WREF Architect is responsible for designing, governing, and maintaining data architecture across Legal, Compliance and Workplace Real Estate & Facilities (WREF) domains. The role ensures data is structured, secure, and interoperable across products within Legal, Compliance & WREF, evaluating upstream and downstream impacts of solution changes, and guiding delivery teams on best practice.
Key Responsibilities:
- Define and maintain data architecture for the Legal, Compliance & WREF Domain
- Assess the architectural impact of new data sources, changes, and integrations
- Provide technical leadership for complex domain data designs
- Ensure core Legal & Compliance data products are modern, robust and AI ready
- Ensure L&C&W data products are architected and engineered in the most cost-effective way
- Develop and maintain domain architecture artefacts
- Partner with Data Product teams, Business Data Owners, and Analytics teams
- Provide architectural guidance on the selection, configuration, and implementation of data platforms and technologies
- Support the implementation and adoption of master data and metadata frameworks
- Define integration and data experience outcomes
- Act as a technical advisor on domain data issues
- Ensure compliance with information security, data protection, and regulatory standards
Responsibilities:
- 15 to 19 years' professional experience with Bachelor's or Master's degree in a relevant field
- Industry certifications highly desirable (e.g., TOGAF, CDMP, Azure Solutions Architect)
- Typically, 8–10 years' experience in data architecture, data engineering, or enterprise information architecture roles
- Experience designing data models, flows, interfaces, and integration patterns
- Hands-on experience with cloud and on-premise data platforms, data lakes, and integration technologies
- Experience collaborating with product and engineering teams to embed data architecture in delivery
- Understanding of information security, privacy regulations, and data quality requirements
Preferred Skills:
- Strong analytical and conceptual modelling skills
- Deep understanding of data governance, lineage, and metadata management
- Ability to translate complex business requirements into architectural designs
- Familiarity with integration technologies and best practices
- Excellent communication and documentation skills