501 to 525 of 1,654 Stakeholder Engagement Jobs in the UK

a strong track record in enterprise data strategy and systems integration. Deep expertise in Azure data services e.g. Azure Data Factory, Azure Data Lake, Azure Synapse, Azure Databricks. Strong stakeholder engagement skills - able to translate complex data concepts into business value. Experience preparing data estates for AI/ML, including data lineage and model input pipelines. Ideally, experience More ❯

a strong track record in enterprise data strategy and systems integration. Deep expertise in Azure data services e.g. Azure Data Factory, Azure Data Lake, Azure Synapse, Azure Databricks. Strong stakeholder engagement skills - able to translate complex data concepts into business value. Experience preparing data estates for AI/ML, including data lineage and model input pipelines. Ideally, experience More ❯

a strong track record in enterprise data strategy and systems integration. Deep expertise in Azure data services e.g. Azure Data Factory, Azure Data Lake, Azure Synapse, Azure Databricks. Strong stakeholder engagement skills - able to translate complex data concepts into business value. Experience preparing data estates for AI/ML, including data lineage and model input pipelines. Ideally, experience More ❯

a strong track record in enterprise data strategy and systems integration. Deep expertise in Azure data services e.g. Azure Data Factory, Azure Data Lake, Azure Synapse, Azure Databricks. Strong stakeholder engagement skills - able to translate complex data concepts into business value. Experience preparing data estates for AI/ML, including data lineage and model input pipelines. Ideally, experience More ❯

a strong track record in enterprise data strategy and systems integration. Deep expertise in Azure data services e.g. Azure Data Factory, Azure Data Lake, Azure Synapse, Azure Databricks. Strong stakeholder engagement skills - able to translate complex data concepts into business value. Experience preparing data estates for AI/ML, including data lineage and model input pipelines. Ideally, experience More ❯

a strong track record in enterprise data strategy and systems integration. Deep expertise in Azure data services e.g. Azure Data Factory, Azure Data Lake, Azure Synapse, Azure Databricks. Strong stakeholder engagement skills - able to translate complex data concepts into business value. Experience preparing data estates for AI/ML, including data lineage and model input pipelines. Ideally, experience More ❯

taking appropriate action to keep the project on track, leveraging support from stakeholders and management as needed. Manage changes to project scope, budget, and schedule. Establish effective project communication, stakeholder engagement, and reporting mechanisms. Collaborate with business stakeholders and IT teams to find solutions and ensure end-to-end implementation. Perform risk management to minimize potential risks and More ❯

in a similar role within tech, payments, fintech, or IT support Proven leadership skills with experience managing support functions across multiple teams A strong customer-first mindset with excellent stakeholder engagement Able to understand complex systems and translate that into effective support operations Commercially astute with the ability to manage performance and identify risks Excellent communicator with strong More ❯

and test plan design, test data preparation with wide coverage of functionalities, Test automation framework creation and its maintenance, general QA activities which includes defect reporting and tracking, effective stakeholder engagement, CI/CD and materialize automation and innovation opportunities to improve productivity. Contribute towards QA Automation to increase Test Coverage, maintain and share automation progress and stats More ❯

like Git and knowledge of CI/CD pipelines Familiarity with software testing methodologies and development team collaboration Experience working with Power BI and DAX Strong documentation, communication, and stakeholder engagement skills Preferred Qualifications: Experience with Lakehouse architecture, Delta Lake, or Databricks Exposure to Agile/Scrum working practices Microsoft certifications (e.g., Azure Data Engineer Associate) Background in More ❯

high-performing teams.* Demonstrated success in managing procurement portfolios of a similar scale (circa £150 million).* Strong understanding of public procurement regulations (UCR15/PCR15/PA23)* Exceptional stakeholder engagement and communication skills, with the ability to influence at all levels of the organisation.* MCIPS qualified or actively working towards full accreditation.* A data-driven and analytical More ❯

d like to join keep reading. Key responsibilities will include: Developing and implementing change management strategies and plans for enterprise-wide programs and projects. Conducting change impact assessments, defining stakeholder engagement plans, and managing business readiness across program phases. Designing and delivering scalable training programs (e-learning, instructor-led, job aids, etc.) to support technology adoption. Developing communications More ❯

driven organisation Strong knowledge of GenAI, NLP, LLMs, RPA, and their business applications Hands-on experience with AI platforms and tools (e.g. OpenAI, Azure ML, Vertex AI, UiPath) Excellent stakeholder engagement and communication skills Analytical and commercially focused mindset—able to identify and quantify impact Desirable: Technical background in data science, engineering, or computer science Understanding of AI More ❯

Management Support inbound and outbound integrations related to payroll, benefits, and third-party systems Perform data loads and corrections using EIBs Monitor data quality and support data governance initiatives Stakeholder Engagement & Documentation Collaborate with HR business partners, recruiters, and finance teams to gather requirements Provide technical expertise and training to end users on Workday functionality and reports Maintain More ❯

driven organisation Strong knowledge of GenAI, NLP, LLMs, RPA, and their business applications Hands-on experience with AI platforms and tools (e.g. OpenAI, Azure ML, Vertex AI, UiPath) Excellent stakeholder engagement and communication skills Analytical and commercially focused mindset-able to identify and quantify impact Technical background in data science, engineering, or computer science Understanding of AI ethics More ❯

Configuration Management - experience managing artefact groupings, dependencies, and release hierarchies Testing Lifecycle - understanding of test strategy, planning, execution, and defect management within release cycles. Soft Skills: Strong communication and stakeholder engagement abilities. Methodical and detail-oriented approach to planning and execution. 1. Desirable Skills/Experience Although not essential, the following skills are desired by the client: Experience More ❯

and Bank Products. Expertise in data governance, quality, metadata, profiling, analysis, and management tools. Problem-solving aptitude with effective communication skills. Understanding of enterprise-wide data governance practises. Confident stakeholder engagement abilities. Proficient in Microsoft Office Suite (Word, Excel, Visio, PowerPoint, MS Project). Team player with the capacity to work independently. Relevant industry experience, preferably in a More ❯

and Bank Products. Expertise in data governance, quality, metadata, profiling, analysis, and management tools. Problem-solving aptitude with effective communication skills. Understanding of enterprise-wide data governance practises. Confident stakeholder engagement abilities. Proficient in Microsoft Office Suite (Word, Excel, Visio, PowerPoint, MS Project). Team player with the capacity to work independently. Relevant industry experience, preferably in a More ❯

principles and industry best practices. Team Leadership and Development : Mentor and develop a high-performing team of digital solution architects, fostering a culture of collaboration, innovation, and continuous learning. Stakeholder Engagement : Engage with stakeholders across the organization to understand business requirements, communicate architectural decisions, and gain buy-in for strategic initiatives. Technology Innovation : Stay abreast of emerging technologies More ❯

NHS England strategies and standards. Ability to create architecture artefacts (e.g., logical, physical, data flow and security models) and communicate them clearly to technical and non-technical audiences. Strong stakeholder engagement and communication skills across clinical, business, and technical teams. Experience working on projects related to Community Diagnostic Centres, Integrated Care Systems, or Electronic Patient Records. Understanding of More ❯

BI features and best practices and recommend improvements to existing data models, reports, and processes. Skills and Experience Data infrastructure and migration PowerBI deployment and management Best practice implementation Stakeholder engagement Awareness of security and access controls, and its impact on design requirements. Exception attention to detail Knowledge of SQL Server and databases Company principles and culture Our More ❯

Computer Science etc Strong PowerPoint and Excel (or equivalent) skills Proven experience in building decks, business cases, and analytic reports Have experience in most of the following: Client/stakeholder engagement and management Strong project management skills, with the ability to manage multiple projects and priorities simultaneously Strong written and verbal communication skills, with the ability to effectively More ❯

Computer Science etc Strong PowerPoint and Excel (or equivalent) skills Proven experience in building decks, business cases, and analytic reports Have experience in most of the following: Client/stakeholder engagement and management Strong project management skills, with the ability to manage multiple projects and priorities simultaneously Strong written and verbal communication skills, with the ability to effectively More ❯

engineering workflows. Define guardrails and reference implementations for data access control, data lineage, and compliance. Promote consistent metadata management and enforce technical standards to ensure trust in data assets. Stakeholder Engagement: Collaborate with PN D&A leadership, PN product owners, and segment D&A leadership to synchronize and formulate data priorities aimed at maximizing value through data utilization. More ❯

engineering workflows. Define guardrails and reference implementations for data access control, data lineage, and compliance. Promote consistent metadata management and enforce technical standards to ensure trust in data assets. Stakeholder Engagement: Collaborate with PN D&A leadership, PN product owners, and segment D&A leadership to synchronize and formulate data priorities aimed at maximizing value through data utilization. More ❯