5 of 5 Permanent Metadata Management Jobs in Central London

Digital Asset Management (DAM) Product Owner Location: UK/Hybrid Full-Time/Permanent Business Area: Audio | Reporting into: Group Technology Director – Audio Bauer Media Audio is building the future of content creation and delivery — and we need a Product Owner to help us manage the engine behind it all: our Digital Asset Management (DAM) platform . As … to manage backlog, prioritise features and ensure successful rollouts. Ensure Adoption & Training : Build relationships with users across all nine markets, supporting rollout, adoption and ongoing training where needed. Data & Metadata Governance : Ensure the system promotes consistency, discoverability and usage through strong metadata frameworks and user practices. Integration Oversight : Ensure seamless integration between the DAM and other tools in … our broadcasting and digital ecosystem (e.g., playout, production, CMS, archives). What You Bring: Proven experience as a Product Owner or Manager for a Digital Asset Management platform, ideally within media, broadcast, or digital publishing. Strong understanding of asset workflows, metadata management and content lifecycle. Experience working in Agile environments with internal and external stakeholders. Excellent communication More ❯

discovery, evaluating source systems and APIs, and creating stories for implementation Collaborate with third parties to ensure interoperability and integration compatibility Champion best practices in warehousing techniques (e.g. Kimball), metadata management, and performance optimisation Support delivery through integration testing, reconciliation, and reporting visualisation (e.g. Power BI, Tableau) About You: Proven experience designing data architectures for large-scale platforms More ❯

/or Scala. * Expertise in ETL/ELT processes, data warehousing, and data mesh architectures. * Familiarity with AI/ML concepts and their application in data analytics. * Experience with metadata management, data lineage tracking, and data cataloguing. * Knowledge of serverless data processing, event-driven architectures, and modern data stacks. In accordance with the Employment Agencies and Employment Businesses More ❯

data dictionary management. Proficiency in SQL, Python, R, or other data science tools and frameworks. Experience leading data or analytics teams and mentoring junior staff. Strong communication and stakeholder management skills. Working experience of below skill sets- Data Analytics Data Modelling Data Science Building of data models Working knowledge of implementation of Strategic project. Experience in Data Visualization and … on strategic, cross-functional data initiatives with C-level stakeholders. Familiarity with cloud data platforms (e.g., Azure, AWS, GCP, Snowflake). Knowledge of data governance standards, regulatory compliance, and metadata management. Experience with BI and visualization tools such as Power BI, Tableau, or Looker. Certification in data science, analytics, or cloud technologies (e.g., Microsoft, AWS, Google). Why join More ❯

ROLE As a Data Modeller in the Financial Services domain, you will be responsible for designing, developing, and maintaining data models that support critical business functions such as risk management, regulatory reporting, investment analytics, and operational efficiency. You will work closely with stakeholders across business and technology to ensure data structures are optimized for performance, compliance, and usability. YOUR … systems. Collaborate with business stakeholders to gather and understand data requirements. Translate business needs into scalable and high-performance data models. Apply industry best practices in data modeling and metadata management. Work closely with data engineers and analysts to ensure seamless data integration. Create and maintain data dictionaries and metadata repositories . Ensure data quality , consistency, and governance More ❯