Enterprise Data Architect / Data Architecture Lead

Role Title Enterprise Data Architect.
Role Purpose Manage and develop Enterprise Data Architecture and provide leadership in the deployment and

use of data architecture concepts, models and functionality.
Provide leadership in the definition and application of data modelling, metadata and master data
management e.g. customer data and managing the data flows and data lineage of data across
systems and applications.
Champion the improvement of the Next’s data assets through engaging in Data Design Authority
and change projects to influence approaches and outcomes.

Main
Accountabilities

● Define and maintain an enterprise data architecture strategy and roadmap for the application
of Metadata and Master Data Management.
● Define, develop and maintain the Data Architecture, including business information, data
models and data dependency relationship diagrams.
● Actively promote compliance Data Standards within business unit or function’s data
architecture, providing advice, guidance and mentoring on functionality and capabilities.
● Support effective exploitation of Next’s data, by working as part with Group Data to provide
gap analysis of data available for analytics vs data within the enterprise.
● Provide data domains, entity models and standard attributes to support Data Governance and
Data Owners.
● Identify opportunities to exploit open data standards.
● Identify exceptions and anomalies with business unit or function’s data architecture and
consistently work the Enterprise Architect(s) and internal and external stakeholders to
resolve.
● Maintain and develop awareness of current leading practice, emerging information, data
architecture toolsets, methodologies and standards.
● Develop, maintain and promote the development of metadata for key business domains.
● Identify, define, obtain and deploy data toolsets to support effective management and use of
metadata and master data.
● Ensure the Data Dictionary (part of an effective data modelling toolset) is managed by data
architecture, with the data quality and data governance managers in Data Governance..