Associate Director - Legal, Compliance & WREF Domain Architect

Overview

Associate Director responsible for designing, governing and maintaining data architecture across the Legal, Compliance and Workplace Real Estate & Facilities (WREF) domains, ensuring data models, flows and integrations follow enterprise data and architecture standards.

What you'll do

• Define and maintain data architecture for the Legal, Compliance & WREF Domain, including domain-specific data models, lineage, data flows, data contracts/APIs, and integration patterns across cloud and on-premise platforms.
• Assess the architectural impact of new data sources, changes, and integrations within the Legal, Compliance & WREF domain, setting functional data architecture that aligns to enterprise standards and governance guidance.
• Provide technical leadership for complex domain data designs, ensuring solutions are scalable, secure-by-design (e.g., privacy threat modelling, DLP, encryption policies), interoperable, and optimised for business value.
• Ensure core Legal & Compliance data products such as Compliance Risk Analytics & Monitoring (CRAM) and data services provided for corporate investigations are modern, robust and AI ready, including supporting business stakeholders to increase the scope of these data platforms through new integrations/data sources.
• Ensure L&C&W data products are architected and engineered in the most cost effective way utilising enterprise hosting/cloud services.
• Develop and maintain domain architecture artefacts, including conceptual, logical, and physical data models, lineage completeness, metadata definitions, reference architectures, and versioned API/data contracts for interoperability.
• Partner with Data Product teams, Business Data Owners, Enterprise D&A, and Analytics teams to shape domain use cases, clarify data requirements, and support enterprise-level use cases where applicable.
• Provide architectural guidance on the selection, configuration, and implementation of data platforms and technologies within the domain (e.g., Azure Data Services, integration tooling, MDM/metadata stacks), ensuring alignment with enterprise technical direction.
• Support the implementation and adoption of master data and metadata frameworks within the Legal, Compliance & WREF domain, contributing to standardised definitions, stewardship, and enterprise practice alignment.
• Define integration and data experience outcomes that support digital ecosystems, ensuring usable, reusable, and well-documented data interfaces across Products and Platforms.
• Act as a technical advisor on domain data issues, including data quality SLAs, timeliness, reuse index, security constraints, and architectural design choices, supporting delivery teams to resolve challenges.
• Ensure compliance with information security, data protection, and regulatory standards across all domain data designs, integrations, and contracts through security-by-design checkpoints.
• Lead your team in using approved AI tools to improve productivity and ways of working, role-modelling responsible use and following GSK's Responsible AI, privacy and security requirements.

What you'll need

• 15 to 19 years' professional experience with a Bachelor's or Master's degree in a relevant field (e.g., Computer Science, Information Technology, or Engineering), or equivalent experience.
• Typically 8–10 years' experience in data architecture, data engineering, or enterprise information architecture roles within complex environments.
• Experience designing data models, flows, interfaces, and integration patterns within a specific functional or product domain (experience of data architecture in Legal, Compliance & Real Estate/Facilities functions).
• Evidence of applying enterprise data standards, rather than owning or defining them.
• 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.

Nice to have

• Industry certifications highly desirable (e.g., TOGAF, CDMP, Azure Solutions Architect, Data Management certifications).
• 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 to support cross-functional delivery teams.
• Strong understanding of security, data protection, and regulatory requirements.

Details

• Location: Bengaluru, Luxor North Tower.
• Hybrid working under GSK's "Performance with Choice" approach, typically 2–3 days per week in the office, pattern agreed with manager.