Architecture Lead - Cabinet Office - G7

Manchester Digital

Manchester

Hybrid

GBP 65,000 - 95,000

Full time

10 hours ago
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Job summary

This role sits within the Data Analytics Service Team in the Public Sector Fraud Authority. You will work as a Technical Architect to advance how the government uses data & technology to find fraud within the public sector.

You will support the engagement with government agencies to support them in identifying where data analysis could be applied to their business processes to most effectively counter residual fraud risks.

Qualifications

  • Professional experience using cloud computing services such as Azure or AWS.
  • Providing technical support and guidance to junior members of our multidisciplinary team.
  • Professional experience working within a data science, data analytics or similar team to deliver data science and AI solutions.
  • Understanding of architecture frameworks, architectural patterns and producing HLD and LLD documentation.

Responsibilities

  • Leading the technical design of systems and services, justifying and communicating design decisions within our Azure based platform
  • Assure external services and system quality, ensuring the technical work fits into the broader digital strategy for government; and defend those decisions to the governance structures in the Cabinet Office such as the Technical Design Authority.
  • Maintain a close working relationship with the architecture lead of the azure platform to identify and deal with issues effectively.
  • Providing technical support and guidance to junior members of our multidisciplinary team
  • Present findings, outputs and recommendations to stakeholders, managing sensitivities in the results and maintaining good relationships with these stakeholders to facilitate future work.
  • Deliver projects and applications through the traditional software development lifecycle whilst gaining assurance from assurance boards such as the technical design authority.
  • Work effectively with a range of stakeholders, within and outside of Government, on collaborative projects and to promote the work of the team
  • Maintain your own professional development and build a strong supportive and inclusive culture across the team.

Skills

Azure/AWS experience
Technical mentoring
Data science/AI delivery
Architectural patterns

Job description

Location

Glasgow, London, Manchester, Newcastle-upon-Tyne, York

About The Job

Job summary

Cabinet Office supports the Prime Minister and ensures the smooth running of government - from developing policy, to modernising public services. We welcome talented people from all backgrounds with the skills and the commitment to build a career in the Civil Service.

This role offers an unparalleled opportunity to work at the very heart of government. The Public Sector Fraud Authority is the central hub of the Government's Counter Fraud Function and is internationally recognised as a world‑leader in tackling fraud and corruption in the public sector. Right now, fraud represents a cost to the government which is estimated at £33bn-£58bn per year.

Please note

Recruitment campaigns for the Public Sector Fraud Authority (PSFA) are continuing as usual, but candidates should be aware that following the Government's announcement on the changes to some civil service departments, roles will be subject to the machinery of government move of the PSFA to DWP. We will provide more information on any potential or future impact this will have on office locations and other elements if you are selected to interview. This work remains of high importance to the civil service, and we thank you for your continued interest.

Job Description

This role sits within the Data Analytics Service Team in the Public Sector Fraud Authority. You will be working as a Technical Architect to advance how the government uses data & technology to find fraud within the public sector. You will support the engagement with government agencies to support them in identifying where data analysis could be applied to their business processes to most effectively counter residual fraud risks.

The team works closely with a range of stakeholders; helping agencies fully map the data processes underpinning their schemes, identifying the information and analytics gaps that are the root cause of suspected fraud risks and advising on analysis and products to address residual fraud risks. You will lead on architecting new solutions: bringing your knowledge of cloud, productionised machine learning and generative AI, and DevOps best practices to the team's work. You will support and guide more junior members of our multidisciplinary team in our delivery, manage relationships with stakeholders to safeguard that delivery, and present any findings, outputs and recommendations to senior stakeholders. The role will sit within a team of data scientists, data engineers, delivery managers and business analysts.

Responsibilities
  • Leading the technical design of systems and services, justifying and communicating design decisions within our Azure based platform
  • Assure external services and system quality, ensuring the technical work fits into the broader digital strategy for government; and defend those decisions to the governance structures in the Cabinet Office such as the Technical Design Authority.
  • Maintain a close working relationship with the architecture lead of the azure platform to identify and deal with issues effectively.
  • Providing technical support and guidance to junior members of our multidisciplinary team
  • Present findings, outputs and recommendations to stakeholders, managing sensitivities in the results and maintaining good relationships with these stakeholders to facilitate future work.
  • Deliver projects and applications through the traditional software development lifecycle whilst gaining assurance from assurance boards such as the technical design authority.
  • Work effectively with a range of stakeholders, within and outside of Government, on collaborative projects and to promote the work of the team
  • Maintain your own professional development and build a strong supportive and inclusive culture across the team.
Person specification
Essential Criteria
  • Professional experience using cloud computing services such as Azure or AWS
  • Providing technical support and guidance to junior members of our multidisciplinary team
  • Professional experience working within a data science, data analytics or similar team to deliver data science and AI solutions
  • Understanding of architecture frameworks, architectural patterns and producing HLD and LLD documentation
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