6 of 6 Permanent Conceptual Models Jobs in England

evolving the backbone of our data ecosystem. This is a strategic position where your deep technical expertise will directly influence our data architecture, from high-level conceptual models to optimised, scalable solutions. You'll drive the development and implementation of modern data systems aligned with our long-term vision—ensuring our data infrastructure is robust, future-ready … and fuels real business impact. Main Duties and Responsibilities Responsible for designing and implementing effective database solutions and models to store and retrieve company data Assess database implementation procedures to ensure they comply with GDPR and data compliance Design conceptual and logical data models and flowcharts Provide advice to project teams and oversee the management of … technical direction for the data platform landscape and solutions, for the short and long term, in collaboration with delivery and engineering teams Accountable for ensuring data solutions and data models throughout the project or product life-cycle, are delivered effectively, and to agreed technical standards. Accountable for ensuring stakeholders, technology teams, third parties and vendors, are aligned to the More ❯

Skills: Skilled in various modelling methods such as active learning, transfer learning, agent-based modelling, optimization, Bayesian inference, entity extraction/resolution, and spatio-temporal modelling. Proficient in developing models from fundamental principles and selecting modelling techniques without bias. Experienced in multiple stages of model development, including requirements analysis, task formulation, implementation, validation, and deployment. Capable of conducting research … creating conceptual models, prototyping, and mentoring others in these processes. Adept at explaining complex modeling concepts to diverse audiences, both technical and non-technical. Experienced in taking on a technical leadership role in project settings. Holds a strong undergraduate degree in a STEM field with a significant focus on mathematics; possessing a PhD is beneficial but not More ❯

architecture risks, issues and gaps with an IT solution and work towards resolving or mitigating them Work with business analysts and product SMEs to ensure that processes and data models provided by market standard products are adopted in a configurable manner and not customized Work with business analysts, data analysts, and business SMEs to determine the data scope by … understanding the business data requirements driving the solution Design conceptual and logical data models to support the business requirements Ensure that physical data models created by engineering teams meet all functional requirements. Provide input on non-functional aspects such as sizing, performance, and scalability Work with the business to determine and document the applicable data quality … Guide SRE (Site Reliability Engineering) members in the product team on emergent design based on architecture principles, tradeoffs & patterns Take an active role in documenting, improving & maintaining the reference models in architecture repositories like Bizz Design, Power Designer, lifting project deliverables to the conceptual and logical levels Follow IT Technology developments in the market and leverage this More ❯

s a chance to drive real business impact. You'll be responsible for designing and implementing robust, scalable data solutions that align with long-term strategic goals. From conceptual modelling to guiding delivery teams, you'll be at the heart of transforming how data is used across the organisation. Key Responsibilities Design and implement effective database solutions and … models. Ensure compliance with GDPR and data governance standards. Lead the development of conceptual and logical data models. Oversee the full data production lifecycle and ensure architectural alignment. Define and drive the technical direction of the data platform landscape. Collaborate with stakeholders, vendors, and technology teams to deliver high-quality solutions. Champion data integrity, security, and performance across More ❯

s a chance to drive real business impact. You'll be responsible for designing and implementing robust, scalable data solutions that align with long-term strategic goals. From conceptual modelling to guiding delivery teams, you'll be at the heart of transforming how data is used across the organisation. Key Responsibilities Design and implement effective database solutions and … models. Ensure compliance with GDPR and data governance standards. Lead the development of conceptual and logical data models. Oversee the full data production lifecycle and ensure architectural alignment. Define and drive the technical direction of the data platform landscape. Collaborate with stakeholders, vendors, and technology teams to deliver high-quality solutions. Champion data integrity, security, and performance across More ❯

and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster. Key Responsibilities Defines a top-level conceptual model that conveys the structure and behavioural views of a system Creates the blueprint for both a system and the associated project, laying out the system's components or … unambiguous, verifiable and traceable requirements that serve as a foundation for design, development and testing of the overall system Support a model-based approach to systems engineering , using digital models to support the specification, design, analysis, verification , and validation of systems Operate in a collaborative, SAFe agile environment .Work, mentor and review development of system engineering artefacts developed by … perspective including DoDAF Expertise in data reduction , extraction and post-mortem analysis of one or more large, complex software systems Advanced experience creating and maintaining system and software digital models of complex, real-time embedded systems and processes.Experience in MBSE development and sysML 2.0 principles Knowledge of system requirements development, systems software design , architectures, software development life cycle and More ❯