5 of 5 Remote/Hybrid Data Governance Jobs in Berkshire

strategic spatial energy planning, environmental impact assessments, economic modelling, and community engagement. The architect will play a pivotal role in consolidating legacy systems, ensuring data quality, and enabling advanced geospatial analytics. Your Responsibilities 1. GIS Platform Architecture & Design Lead the end-to-end design of a scalable GIS platform … Sandbox, Dev, UAT, Production) Ensure high availability, scalability, and security of cloud infrastructure Integrate with peripheral systems to support end-to-end workflows 3. Data Migration & Legacy System Integration Lead migration and replication of spatial datasets and functionalities from legacy GIS platforms (e.g., Intergraph, Smallworld) Ensure continuity of historical ...

Outside IR35). Key skills, experience + tasks will include: ServiceNow Architect responsible for leading the technical direction, architecture design, integration + platform governance for ServiceNow implementations. In-depth hands-on ServiceNow Architecture expertise including design, configuration + implementation. Deep ServiceNow modules + workflows experience including: ITSM, ITOM, Discovery … ServiceNow and other systems (via REST, SOAP APIs, IntegrationHub, MID Server, custom integrations), ensuring reliability, security, latency, error handling, monitoring. Defining + implementing technical governance, architecture operating models, and instance strategy. Knowledge of CMDB, data modelling, metadata, core data, data governance + security. Leading stakeholder ...

About the role As a Fleet Data Analyst focuses on the proactive analysis and reporting of data from Geotab, with the aim of enabling timely and informed decision-making across the fleet management team. To support a rule change, this is temporary role is required to shape … have about the role, between 09.00am till 17.00pm Monday to Friday. Shifts: Monday to Friday (37.5 hours) Roles and Responsibilities: Collect, clean, and validate data from multiple sources to ensure accuracy and reliability. Analyse large datasets to identify trends, patterns, and insights that support business decision-making. Present findings ...

Research and propose innovative AI solutions for scientific content analysis. . Information Science: o Support pharmaceutical R&D processes. o Apply knowledge of data life cycle, metadata, ontologies, and scientific knowledge systems. o Ensure data is structured for scientific use, leveraging FAIR data principles and semantic technologies. … Stakeholder Engagement: o Partner with cross-functional teams as required. o Act as a subject matter expert for AI-driven content analytics initiatives. . Governance & Compliance: o Ensure adherence to copyright, licensing, and data governance standards for external and internal content. o Implement robust data integrity ...

Responsibilities: Design and implement AI-driven workflows for literature mining, summarisation, and trend analysis. Maintain and develop external information endpoints aligned with FAIR data principles. Apply machine learning and LLMs to improve information retrieval and automate content classification. Collaborate with cross-functional teams and act as a subject matter … expert for content analytics initiatives. Ensure compliance with copyright, licensing requirements, and data governance standards. Deliver training and develop best-practice guidance for AI/NLP tools and content analytics. Skills & Experience Required: Experience or strong interest in NLP, LLMs, and AI frameworks. Proficiency with Python and tools ...