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Head of Data Architecture job description

Job Summary-Head of Data Architecture job description

Lead the architecture and technical strategies of connected data, advanced analytics and data science, delivering transformed, data-driven platforms and secure capabilities.


Lead the team of architects to develop an enterprise-wide, business-linked, cohesive understanding of data assets and their relationships to help ease the integration of these data assets


Develop and deploy modern machine learning and statistical methods for finding structure in large data sets, such as CART and Random Forests, clustering and classification algorithms, Bayesian models, neural nets, and so on.


Be responsible for identifying new data driven opportunities and pursuing the execution of hypothesis with a high level of autonomy with focus on outcomes.


Lead cross-disciplinary teams on solving business problems using analytics, typically involving multi-dimensional data sets to improve predictability and performance, drive efficiencies and insight in services.


Lead the development and communication of clearly defined implementable architecture and technology directives enabling change programmes to deliver improved changes.


Lead in the creation of initiatives, investment cases and architecture models for assigned projects and transformation programmes delivering to the technology and

operational strategies.


Develop and govern the implementation of technical and architecture standards, guidelines and practices which implement data strategies.


Lead in the transformation from structured to unstructured data, evaluating new technologies and approaches leading to scalable, global data platforms.


Maintain and communicate proactively emerging position on technologies, approaches and architectures that might be relevant  in delivering its objectives.


Assure that the solutions and technologies recommended will technically deliver and meet the needs of the business, analytical teams and data privacy needs.


Assures that the solutions recommended to projects takes the company closer to its overall business and technology goals and is underpinned by well thought- through, flexible and pragmatic solution architectures.










Lead the Data Decision Group in making strategic choices and decisions for all major components ensuring future sustainability.


Identify innovative technologies pertinent to the Strategic Architecture and lead in the incubation and pilot of these technologies to identify potential business value and technical feasibility.


Take and entrepreneurial approach in creating technology driven Strategic Opportunities and building Ecosystems and Platforms.

Main responsibilities-Head of Data Architecture job description

Knowledge, Skills and Abilities-Head of Data Architecture job description



 A degree, Masters or PhD from a leading University in a quantitative discipline such as computer science, statistics, physics or mathematics


Experience of transforming traditional Data Warehousing approaches to Big Data based approaches and proven track record of managing risks and data security.


Experience in finding patterns in data and creating statistical models, data exploration, data visualisation and data



Experience of leading data science, data discovery and machine learning projects













Strong DB skills with SQL and NoSQL databases


Experience in conducting analysis for evidence-based decision making

Free Job description Head of Data Architecture


The Head of Data Architecture will lead the Data Management, Analytics and DataScience vision and roadmap, and a Data strategy to deliver common, secure and consistent data capabilities across company. This role will establish a Data Architecture practice and create reusable data capabilities as well as engage in strategic initiatives. and will manage the strategic architecture and transformation of Data and related approaches, tools and technologies.


A primary task is to transform data capabilities enabling an internet-fit organisation and therefore

will need to build strong relationships with business leaders, industry thought leaders, suppliers

and the technology teams driving cost efficiency, transformation and innovation.


This role will ensure that the company can meet the challenges of a rapidly changing environment; delivers world class data platforms and ecosystem for continued excellence; and ensures that the company  remains secure, data-driven, “on-air” and “on-line”.