Senior Enterprise Architect (Data Analytics)HM Revenue & Customs • London, England, United Kingdom
Senior Enterprise Architect (Data Analytics)
HM Revenue & Customs
- London, England, United Kingdom
- London, England, United Kingdom
Über
The role plays a major part in supporting HMRC’s IT governance process. As a subject matter expert, you will offer advice and guidance to solution architects to ensure designs conform to HMRC’s IT strategy. Taking a strategic view across all architectural domains, portfolios and programmes you to guide the organisation to make accurate technology decisions, promoting reuse, sustainability and scalability to achieve value for money. Enterprise Architecture and Role
As part of the Enterprise Architecture team you will engage at a strategic level, influencing policy, and setting direction for technical and business change. You will also play a key role in ensuring that HMRC develops and maintains a strong IT Architecture capability. Data Analytics Platform Responsibility
As a member of the Data Analytics Platform team this role is specifically responsible for the strategy and architecture of: Enterprise reporting, analytics, AI/ML end user tooling including technology roadmaps and product selection. Data pipelines including data acquisition, ingestion, transformation, quality and matching. Data storage including technology roadmaps, product selection and compliance. Responsibilities and Requirements
You will need to demonstrate within your application the following essential skills and experience: A broad IT and Enterprise Architecture (EA) background, with experience in architecting enterprise scale applications or architecture roles where you will have gained experience of large-scale data platform deployments. The ability to develop, detail and establish architectural principles, policies, standards, roadmaps and reference architectures. Ability to carry out horizon scanning across industry, identifying advances in technology, emerging trends and their potential impact on the organisation. The ability to simplify complex and technical information by using appropriate and accessible language for non-technical audiences. Capable of guiding the decision-making process, explaining trade-offs and making a recommendation based on all the available information. The ability to look beyond the immediate problem and identify the wider implications across the enterprise. Assessment Areas
We'll assess you against your demonstrable knowledge and experience in one of the following: Data Lifecycle, Standards & Tools. Cloud native Data analytics services. Data transformation and metadata management tools (e.g. Talend, Informatica etc) Analytical data exploitation tools (e.g. SAS, Power BI, Pentaho) Artificial Intelligence (AI) capabilities to enable Customer Insights & Segmentation, Behavioural analytics.
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Sprachkenntnisse
- English
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