9 of 9 Part-Time Metadata Management Jobs in the UK excluding London

connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Help teams find, understand, and trust data by building a modern metadata marketplace. You'll shape a strategic product used across Asset Management to strengthen governance and accelerate delivery. \n As a Product Manager … Marketplace product team within Asset Management Data Strategy, you will define and deliver capabilities that drive genuine business value by improving how data is catalogued, governed, discovered and consumed. You'll partner with technology and business stakeholders to build tools that manage data domains and subdomains, high quality data ...

improve solution quality, and ensure alignment to firm-wide architecture patterns and standards. \n Job Responsibilities \n \n \n Engage with Business Operations, Product Management, and Technology stakeholders to ensure business requirements are properly articulated, understood, and realized as secure and robust solutions. \n \n Design and assess … solution architectures for enterprise-scale platforms, including data modeling, meta-modeling, master and reference data management, data quality, metadata management, data taxonomy, data integration, and data migration. \n \n Apply AI tools and techniques to improve Solution Architecture practices - including accelerating requirements analysis, pattern identification, data modeling ...

Controlled Vocabularies with Business Partners and the Chief Data Office. \n Create and maintain accurate, complete, and consistent governed Data Models with lineage and metadata to facilitate traceability to other metadata classification such as Data Concepts. \n Guides evaluation of current technology and leads evaluation of new technologies … Serves as a function-wide subject matter expert in one or more areas of focus. \n Standardize and innovate Operational and Analytical Data Management in accordance with Reference Architectures and Operating Models. \n Adds to team culture of diversity, opportunity, inclusion, and respect. \n\n Required qualifications, capabilities ...

monitoring tools, BI and Data Warehousing solutions and ETL and migration technologies \n A thorough understanding of one or more from: Master Data Management, Data Lineage analysis, Metadata Management, Data Quality assessment and management, Data Transformation and migration \n Ability to apply advanced analytics and statistics ...

meet requirements \n Developing and maintaining a suite of engaging Power BI dashboards including enterprise level semantic models along with user and data permissions management \n Owning and continuously improving the data models including data and KPI definitions ensuring consistency of use \n Supporting analysts and researchers … including requirements and discovery, Agile delivery, testing, deployment, and post-production support \n Strong understanding of data governance and security frameworks including data quality, metadata management, lineage, user and permission management, compliance, and access controls \n Excellent documentation skills with the ability to create and maintain solution ...

proposed solutions. \n\n Skills Required \n Essential: \n \n Strong technical design expertise in core data architecture disciplines including data modelling, data analysis, metadata management, data transformation, data migration and master data. \n Experience in establishing data analytics and supporting AI solutions. \n Data quality/validation … experience: designing metrics and KPIs to verify and automate management of data quality. \n Good working experience of AWS (e.g. S3, Kinesis, Glue, Redshift, Lambda and EMR) and/or Azure data services (e.g. ADF, Synapse, Fabric, Azure Functions). \n\n Desirable Skills \n \n Working experience ...

capabilities: You understand the full lifecycle of data from data discovery, storage, pipelines, ETL, streaming through to how data is managed including data quality, metadata management and how data is used for applications and core decision making through advanced analytics. \n AI: You have a deep expertise ...

Skills Required \n \n Essential: \n \n \n Strong technical design expertise in core data architecture disciplines including data modelling, data analysis, metadata management, data transformation, data migration and master data. \n Experience in establishing data analytics and supporting AI solutions. \n Data quality/validation experience: designing … metrics and KPIs to verify and automate management of data quality. \n Good working experience of AWS (e.g. S3, Kinesis, Glue, Redshift, Lambda and EMR) and/or Azure data services (e.g. ADF, Synapse, Fabric, Azure Functions). \n\n \n Desirable Skills \n \n \n Working experience ...

processes and improving the agility and quality of delivery. \n Supporting the adoption and optimisation of tools such as Alation for data cataloguing and metadata management. \n Working closely with business and technical stakeholders to ensure our data models are of the highest quality and fit for purpose. ...