Video Management Specialist (Archivist)

• Degree or Diploma in Mass Communication, Media Management, Journalism, Archives/Information Management, Broadcast Technology or a related field
• Relevant experience in TV news, broadcast media, video management, digital archives or media asset management
• Strong knowledge and interest in news, current affairs and historical events, with good research skills and editorial awareness
• Good understanding of metadata, taxonomy, controlled vocabulary, tagging and content discoverability
• Familiarity with PAM/MAM systems and AI-assisted tools for speech-to-text, facial recognition, object/scene detection, metadata tagging and content search
• Ability to review, validate and enhance AI-generated metadata, applying news knowledge, editorial judgement and historical context to ensure accuracy and relevance
• Comfortable learning and adopting emerging AI and digital technologies relevant to video management and news archiving
• Strong attention to detail, with good communication and collaboration skills to work effectively with editorial, production and technical teams

News Archiving & Content Management

• Manage the archiving and preservation of News and Current Affairs content, including news rushes, interviews, live feeds, programmes, documentaries and historically significant material
• Identify content of editorial, historical and future research value and ensure important events, personalities, organisations and locations are properly documented
• Maintain the integrity and accessibility of archived content and support National Archives and other authorised archive requirements
• Perform quality control of ingested and archived video and audio to ensure content meets required standards

Metadata, Taxonomy & Discoverability

• Create, review and maintain accurate metadata to ensure news content is easily searchable and retrievable
• Develop and apply consistent taxonomy, controlled vocabulary, keywords and tagging standards for people, organisations, locations, events and subjects
• Apply editorial and historical context to metadata and improve the discoverability of important and legacy content
• Regularly review metadata and taxonomy to reflect evolving newsroom terminology and requirements

AI-Assisted Metadata & Tagging

• Use AI-assisted tools such as speech-to-text, facial recognition, object detection and automated tagging to support metadata creation and content discovery
• Review and validate AI-generated metadata and correct inaccurate, incomplete or irrelevant information
• Map AI-generated tags to the appropriate newsroom taxonomy to maintain consistency and improve search accuracy
• Apply news knowledge and editorial judgement to provide context that may not be accurately captured through automation
• Keep abreast of AI developments and identify opportunities to improve archive tagging, search and retrieval

Archive Research & Newsroom Support

• Support journalists, producers and editors in researching and retrieving current and historical footage
• Identify relevant archive material for breaking news, anniversaries, obituaries, documentaries, special programmes and other editorial requirements
• Provide guidance to newsroom users on effective archive search and retrieval using PAM/MAM and AI-assisted search tools
• Proactively identify archive content with potential for reuse across TV, digital and social platforms

Rights, Governance & Continuous Improvement

• Maintain relevant information on content ownership, usage rights, restrictions and expiry dates
• Ensure archive content is managed in accordance with copyright, editorial, privacy, data governance and content security requirements
• Work with Editorial, Production and Technology teams to improve archive workflows, metadata standards, taxonomy and search capabilities
• Support digitisation, archive migration and the adoption of new technologies as newsroom and video management workflows evolve

• Degree or Diploma in Mass Communication, Media Management, Journalism, Archives/Information Management, Broadcast Technology or a related field
• Relevant experience in TV news, broadcast media, video management, digital archives or media asset management
• Strong knowledge and interest in news, current affairs and historical events, with good research skills and editorial awareness
• Good understanding of metadata, taxonomy, controlled vocabulary, tagging and content discoverability
• Familiarity with PAM/MAM systems and AI-assisted tools for speech-to-text, facial recognition, object/scene detection, metadata tagging and content search
• Ability to review, validate and enhance AI-generated metadata, applying news knowledge, editorial judgement and historical context to ensure accuracy and relevance
• Comfortable learning and adopting emerging AI and digital technologies relevant to video management and news archiving
• Strong attention to detail, with good communication and collaboration skills to work effectively with editorial, production and technical teams