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.