Job
Description
Overview The Data Architect will play a key role in defining and overseeing the enterprise data model, ensuring alignment with MUFG s strategic objectives. The Data Architect will be responsible for setting standards and frameworks for data classification and ensuring data flows across applications and data provenance is fully understood. These frameworks will empower the organisation to harness its data effectively for reporting, machine learning (ML), artificial intelligence (AI), auditing, and other business-critical initiatives. Working within the Enterprise Architecture practice, you will collaborate across teams globally. Key Accountabilities and main responsibilities Strategic Focus Define and maintain the enterprise data model at an abstract level, ensuring alignment with MUFG s strategic goals and business outcomes. Collaborate with the Enterprise Architecture practice to shape data frameworks that align with the organisations overarching IT strategy. Develop standards for data classification and data provenance to support global initiatives such as reporting, ML, AI, and auditing. Provide thought leadership on emerging trends, technologies, and best practices for enterprise data architecture. Influence and build consensus among stakeholders across EUROPE/UK & ANZ regions to drive the adoption of strategic data practices. Operational Management Establish a common data model, data dictionary and data business rules that represents the CM business domain Map and document data flows across applications to ensure consistency, efficiency, and security in data management. Oversee adherence to data standards, facilitating governance and ensuring compliance with regional regulations (e.g., GDPR). Monitor and ensure traceability of data sources and transformations through robust data provenance frameworks. Prepare and maintain comprehensive documentation for the enterprise data model, data flows, classifications, and governance standards. Collaborate with teams globally to address specific operational challenges in data architecture and maintain alignment across regions. Governance & Risk Play an active role in technology governance as part of the Architecture Governance Board (AGB). The above list of key accountabilities is not an exhaustive list and may change from time-to-time based on business needs. Experience & Personal Attributes Proven experience (7-10 years) as a Data Architect or in a similar strategic role, ideally within financial services or a global organisation. Deep understanding of abstract data modelling, data flows across complex application landscapes, and enterprise data standards. Expertise in data governance, security, and compliance frameworks, with a strong knowledge of GDPR and regional standards. Familiarity with tools and methodologies that enable reporting, ML, AI, and auditing across an enterprise. Exceptional communication skills to engage with technical and non-technical stakeholders across EMEA and APAC regions. A strategic, collaborative mindset with the ability to influence and build consensus across diverse teams. Bachelor s degree in Computer Science, Information Systems, or a related field (preferred). Enthusiastic attitude, discipline and approach. Can demonstrate independent working. Ability to work under pressure with a view to attaining monthly targets. Overview The Data Architect will play a key role in defining and overseeing the enterprise data model, ensuring alignment with MUFG s strategic objectives. The Data Architect will be responsible for setting standards and frameworks for data classification and ensuring data flows across applications and data provenance is fully understood. These frameworks will empower the organisation to harness its data effectively for reporting, machine learning (ML), artificial intelligence (AI), auditing, and other business-critical initiatives. Working within the Enterprise Architecture practice, you will collaborate across teams globally. Key Accountabilities and main responsibilities Strategic Focus Define and maintain the enterprise data model at an abstract level, ensuring alignment with MUFG s strategic goals and business outcomes. Collaborate with the Enterprise Architecture practice to shape data frameworks that align with the organisations overarching IT strategy. Develop standards for data classification and data provenance to support global initiatives such as reporting, ML, AI, and auditing. Provide thought leadership on emerging trends, technologies, and best practices for enterprise data architecture. Influence and build consensus among stakeholders across EUROPE/UK & ANZ regions to drive the adoption of strategic data practices. Operational Management Establish a common data model, data dictionary and data business rules that represents the CM business domain Map and document data flows across applications to ensure consistency, efficiency, and security in data management. Oversee adherence to data standards, facilitating governance and ensuring compliance with regional regulations (e.g., GDPR). Monitor and ensure traceability of data sources and transformations through robust data provenance frameworks. Prepare and maintain comprehensive documentation for the enterprise data model, data flows, classifications, and governance standards. Collaborate with teams globally to address specific operational challenges in data architecture and maintain alignment across regions. Governance & Risk Play an active role in technology governance as part of the Architecture Governance Board (AGB). The above list of key accountabilities is not an exhaustive list and may change from time-to-time based on business needs. Experience & Personal Attributes Proven experience (7-10 years) as a Data Architect or in a similar strategic role, ideally within financial services or a global organisation. Deep understanding of abstract data modelling, data flows across complex application landscapes, and enterprise data standards. Expertise in data governance, security, and compliance frameworks, with a strong knowledge of GDPR and regional standards. Familiarity with tools and methodologies that enable reporting, ML, AI, and auditing across an enterprise. Exceptional communication skills to engage with technical and non-technical stakeholders across EMEA and APAC regions. A strategic, collaborative mindset with the ability to influence and build consensus across diverse teams. Bachelor s degree in Computer Science, Information Systems, or a related field (preferred). Enthusiastic attitude, discipline and approach. Can demonstrate independent working. Ability to work under pressure with a view to attaining monthly targets.
