Information Technology Architect

Key Responsibilities

Enterprise Information Architecture Accountabilities

• Define and deliver strategic and tactical architectural thinking across enterprise data, MRDM, and governance.
• Work within the Enterprise Data Architecture Framework to benchmark against leading practices and standards.
• Partner with business and IT leaders to contribute to the overarching Enterprise Data Strategy.
• Own and develop architectural artefacts, models (logical, physical, semantic), frameworks, and blueprints.
• Promote architectural best practices and technology education across the organization.
• Lead architectural governance processes, including forums, councils, and assurance boards.

Operations-Aligned Responsibilities

• Design and manage Information Architecture (IA) models: conceptual, logical, operational, master, and metadata.
• Drive IA blueprint alignment across IT projects affecting Operational Business Capabilities.
• Ensure standardization, governance, and compliance in all IA designs.
• Collaborate with the Operations Data Office on data governance integration and KPI reporting.
• Define architecture for BI/reporting, analytics, data science, digital, and operational use cases.
• Lead data integration architecture strategy and provide approval for IA artefacts during project lifecycles.

Required Skills and Experience

Essential

• Bachelor’s degree or equivalent experience in Computer Science, Data Management, or related field.
• Proven experience delivering enterprise data platform architectures with tangible business outcomes.
• Strong knowledge of conceptual and logical data modelling techniques and tools.
• Experience in data/information regulatory governance frameworks and compliance.
• Skilled in architectural methodologies, such as FAIR data principles, TOGAF, or Data Mesh.
• In-depth understanding of data lifecycles, metadata, data quality, and classification principles.
• Strong analytical, communication, and stakeholder engagement skills.

Desirable

• Experience designing data engineering or architecture blueprints implemented in production.
• Familiarity with enterprise metadata cataloging, EA tools, and data modelling platforms.
• Knowledge of containerization strategies in hybrid cloud environments (e.g., AWS, Azure, GCP).
• Agile delivery experience, particularly within data definition or architecture scrums.
• Experience operating in matrix organizations with diverse stakeholder groups.
• Background in the Pharmaceutical industry or other highly regulated environments.
• Knowledge of Data Mesh vs Data Fabric concepts and trade-offs.

Additional Information

This role is ideal for candidates who are passionate about advancing enterprise data maturity and establishing robust information architecture practices. You will work in a collaborative, forward-thinking environment with opportunities to influence data strategies and frameworks across the enterprise.