Business architect jobs in HertfordCreate job alerts

Tesco Technology’s Security Engineering function is responsible for proactively identifying and mitigating risks across our technology estate. As Head of Security Engineering – Application Security & Testing, you will lead a multi-disciplinary function that spans vulnerability management, application security engineering, and adversarial testing. You will be accountable for delivering full-stack security assurance—from code to infrastructure—through a blend of engineering innovation and operational excellence. • Lead three Security Engineering Managers and their teams (approx. 20+ engineers), plus a Principal Security Engineer/Architect., • Foster collaboration across teams focused on:, • External attack surface management and bug bounty operations., • Application security engineering (SAST, SCA, GenAI solutions, ASPM, threat modelling)., • Penetration testing and adversarial simulation (red/purple team strategy)., • Develop talent, coach leaders, and build succession plans for long‑term capability growth., • Oversee the design, deployment, and operation of tools and solutions that identify vulnerabilities across the full stack—code, applications, infrastructure, packages, and external assets., • Ensure robust security testing capabilities are in place to support business projects and strategic initiatives., • Drive continuous improvement in testing methodologies, coverage, and automation., • Translate strategic goals into actionable plans under Tesco’s Tech Excellence programme., • Monitor delivery progress, operational metrics, and team performance., • Ensure alignment with broader security and technology objectives., • Work closely with peers including the Heads of Security Partnerships, Cyber Defence, and Platform Security Architecture., • Partner with Product and Programme teams to embed security into delivery pipelines., • Act as a key point of contact for senior stakeholders across Tesco Technology., • Proven experience leading large‑scale security engineering functions., • Deep technical expertise in vulnerability management, application security, and adversarial testing., • Strong understanding of secure development practices and modern engineering tooling., • Experience with ASPM platforms, threat modelling, and GenAI‑driven security solutions., • Ability to balance strategic thinking with hands‑on execution., • Excellent communication and stakeholder engagement skills., • Familiarity with operational metrics and performance tracking., • Annual bonus scheme of up to 45% of base salary., • Car allowance of £7,320 per annum., • Holiday starting at 25 days plus a personal day (plus Bank holidays)., • Private medical insurance., • Retirement savings plan – save between 6%‑10% and Tesco will contribute 1.5 times this amount., • 26 weeks maternity and adoption leave (after 1 year’s service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay; 6 weeks fully paid paternity leave. Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is ‘Serving our customers, communities and planet a little better every day’. We are proud of our inclusive culture where everyone truly feels able to be themselves. Tesco is committed to creating a workplace where differences are valued. We are accredited Disability Confident Leader and provide a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here. Seniority level: Executive Employment type: Full‑time Job function: Engineering and Information Technology Industries: Retail Location: London, England, United Kingdom #J-18808-Ljbffr

Within Tesco Data & Analytics, we help our customers and the communities where we operate get the most value from data. We build and run Tesco’s data platforms, we architect and engineer data onto these platforms, provide capabilities and tools to the analytics community across Tesco, and develop data products at scale. Our Data Science teams are involved in a broad range of projects, spanning across supply chain, logistics, store and online. These include projects in the areas of Operations Optimisations, Commercial Decision Support (e.g. Forecasting and Range Optimisation), Online (e.g. Search and Recommendation) and Intelligent Edge (e.g. Computer Vision). Our Machine Learning Engineers work alongside our data scientists, helping with everything from development of tools and platforms, code optimisations through to deployment of solutions on the edge, cloud and big-data environments. As a Senior Machine Learning Engineer, you’ll be a significant contributor to the delivery of products in one of Tesco’s most strategic technology areas. You’ll work with other engineers, data scientists, product managers, systems engineers, and analytics professionals to help deliver valuable and innovative outcomes for our customers. You’ll work within and across our Engineering and Data Science teams, delivering scalable products that improve how we serve our customers and run our operations. In this role, responsibilities will include: • Participating in group discussions on system design and architecture., • Working with product teams to communicate and translate needs into technical requirements., • Working with Data Scientists, Engineers and Product teams across the software lifecycle., • Delivering high quality code and solutions, bringing solutions into production., • Performing code reviews to optimise technical performance of data science solutions., • Supporting production systems, resolving incidents, and performing root cause analysis., • Continually look for how we can evolve and improve our technology, processes and practices., • Sharing knowledge with the wider engineering community., • Applying SDLC practices to create and release robust software. You come from either an Engineering or Data Science background, with a good understanding of the Data Science Toolkit (Programming, Machine Learning, MLOps etc) and bringing data science solutions into production. You therefore tick the majority of the following points: • A higher degree in engineering, computer science, maths or science., • Customer focus with the right balance between outcome delivery and technical excellence., • The ability to apply technical skills and know-how to solving real world business problems., • Demonstratable experience of building scalable and resilient software systems., • Experience of leading a small team of engineers to meet the technical delivery and business outcomes., • Commercial experience contributing to the success of high impact Data Science projects within complex organisations., • Experience in MLOps practices and tooling would be an advantage e.g. feature stores and model lifecycle management., • Experience with different programming languages and a good grasp of at least one language. The ideal candidate is fluent in Python., • Understanding of common data structures and algorithms., • Use of version control (Git) and related software lifecycle tooling., • Experience with tooling for monitoring, logging and alerting e.g. Splunk, New Relic or Grafana., • Experience of technologies such as Apache Spark, Databricks, Snowflake, or BigQuery to transform big-data optimised for Tesco scale, • Experience building solutions that run in the cloud, ideally Azure., • Experience with software development methodologies including Scrum & Kanban. You might know us as a supermarket, technology company or even for our award-winning mobile network. Truth is, we’re all of those things, and much more. Our colleagues work with one goal in mind, helping to make every day a little better for our customers, colleagues and communities all over the world. No two customers are the same, neither are our colleagues. At Tesco, we champion a balance that lets you thrive both in and out of work. Spend 60% of your week collaborating with colleagues at our office locations or local sites and the rest remotely. Whether you're just kicking off your career, juggling passions, or navigating big life events, we're here to support you. We always welcome a conversation about flexible working, so talk to us throughout your application about how we can support. We're proud to be an accredited Disability Confident Leader, where everyone’s welcome. That’s why we commit to providing a fully inclusive and accessible recruitment process. If you need support with your application,click here for more information. And if you're interested in joining our team but don't tick every box, don't let that hold you back from applying. #J-18808-Ljbffr

Within Tesco Data & Analytics, we help our customers and the communities where we operate get the most value from data. We build and run Tesco’s data platforms, we architect and engineer data onto these platforms, provide capabilities and tools to the analytics community across Tesco, and develop data products at scale. Our Data Science teams are involved in a broad range of projects, spanning across supply chain, logistics, store and online. These include projects in the areas of Operations Optimisations, Commercial Decision Support (e.g. Forecasting and Range Optimisation), Online (e.g. Search and Recommendation) and Intelligent Edge (e.g. Computer Vision). Our Machine Learning Engineers work alongside our data scientists, helping with everything from development of tools and platforms, code optimisations through to deployment of solutions on the edge, cloud and big-data environments. As a Senior Machine Learning Engineer, you’ll be a significant contributor to the delivery of products in one of Tesco’s most strategic technology areas. You’ll work with other engineers, data scientists, product managers, systems engineers, and analytics professionals to help deliver valuable and innovative outcomes for our customers. You’ll work within and across our Engineering and Data Science teams, delivering scalable products that improve how we serve our customers and run our operations. In this role, responsibilities will include: • Participating in group discussions on system design and architecture., • Working with product teams to communicate and translate needs into technical requirements., • Working with Data Scientists, Engineers and Product teams across the software lifecycle., • Delivering high quality code and solutions, bringing solutions into production., • Performing code reviews to optimise technical performance of data science solutions., • Supporting production systems, resolving incidents, and performing root cause analysis., • Continually look for how we can evolve and improve our technology, processes and practices., • Sharing knowledge with the wider engineering community., • Applying SDLC practices to create and release robust software. You come from either an Engineering or Data Science background, with a good understanding of the Data Science Toolkit (Programming, Machine Learning, MLOps etc) and bringing data science solutions into production. You therefore tick the majority of the following points: • A higher degree in engineering, computer science, maths or science., • Customer focus with the right balance between outcome delivery and technical excellence., • The ability to apply technical skills and know-how to solving real world business problems., • Demonstratable experience of building scalable and resilient software systems., • Experience of leading a small team of engineers to meet the technical delivery and business outcomes., • Commercial experience contributing to the success of high impact Data Science projects within complex organisations., • Experience in MLOps practices and tooling would be an advantage e.g. feature stores and model lifecycle management., • Experience with different programming languages and a good grasp of at least one language. The ideal candidate is fluent in Python., • Understanding of common data structures and algorithms., • Use of version control (Git) and related software lifecycle tooling., • Experience with tooling for monitoring, logging and alerting e.g. Splunk, New Relic or Grafana., • Experience of technologies such as Apache Spark, Databricks, Snowflake, or BigQuery to transform big-data optimised for Tesco scale, • Experience building solutions that run in the cloud, ideally Azure., • Experience with software development methodologies including Scrum & Kanban. We’re all about the little helps. That’s why we make sure our Tesco colleague benefits package takes care of you – both in and out of work. • Annual bonus scheme of up to 20% of base salary., • Holiday starting at 25 days plus a personal day (plus Bank holidays).Private medical insurance. #J-18808-Ljbffr

Lead Enterprise Architect role at DVSA to shape national digital services.Responsibilities include developing strategic roadmaps, governance, and large-scale digital transformation, working with business and DDaT stakeholders across various domains.