3 of 3 Remote/Hybrid Knowledge Management Jobs in Berkshire

part of the ring-fence, it is expected that your employment will move with Castrol to new ownership. Role purpose The Expert Technologist Data Management leads data transformation and AI-enablement across Castrol Product Technology, accelerating the adoption of scalable digital solutions that improve decision-making, data quality … supporting digital initiatives in a multifaceted, open and fast paced environment. Degree in a scientific or engineering rigor. About the team The Data Management & Knowledge Management Team is the central function responsible for defining long-term data strategy, governing data quality, managing knowledge assets and growing ...

systems Ensure SLA compliance and accurate ticket updates Adhere to security, compliance, and confidentiality requirements Provide remote support for on site engineers Contribute to Knowledge Management and Continual Service Improvement Participate in team meetings and actively contribute towards the business’ activities Strive to maximize personal development and performance … take active part in performance reviews and personal development plans Maintain up to date technical knowledge through internal and external training provision. Operate according to the requirements of business-specific applications and processes and the broad application environments (e.g. order submission, stock control, timesheet submission, job closing, etc.) Your ...

with enterprise architecture, scalability, performance, and security standards. Champion DevOps best practices including automation, monitoring, observability, and operational excellence. Maintain robust security controls, vulnerability management, and compliance standards. AI-Assisted Engineering Act as a hands-on contributor to software development activities. Drive adoption of AI-assisted coding tools such … code generation platforms. Establish best practices for safe, secure, and effective AI-assisted development. Embed AI-enabled workflows across design, coding, testing, documentation, and knowledge management. Ensure AI-generated outputs meet engineering, security, and architectural standards. Evaluate emerging AI technologies and identify opportunities to enhance engineering productivity and delivery ...