.Media help partners understand the changing advertising landscape. Specialising in audience measurement, consumer targeting and in-depth intelligence into paid, owned and earned media, their global coverage and local expertise enable better understanding of media audiences and their relationships with brands. Kantar Media is a wholly owned but operationally independent part of the Kantar Group. Kantar Media is a global leader in media research. This includes audience measurement - reporting all viewing on all platforms, consumer profiling and targeting with TGI, and in-depth advertising intelligence. Our versatility, scale, technology and expertise enable our teams to understand the changing media landscape and drive growth for our clients. Kantar Media is seeking a Data Steward into the technology function to join our offices. The role could be based globally. KEY RESPONSIBILITIES: The data steward will take ownership of data within the organisation, working with cross functional teams to connect the dots, creating best practices and policies on data management and governance. The data steward needs to understand the contractual framework and requirements our business operates in. Data governance policies will define how data is stored, classified, labelled, and curated. Classify – multi-layer classification depending on the type of data, stage in the data processing workflow, etc. Label (tag) – Make data assets discoverable and searchable Curate – describe how to make use of the data. Enable self-serviced analytics. Collaborate closely with cross functional teams ensuring data is used effectively and efficiently. The data steward will be in charge of introducing a 'Data First' strategy, promoting the use of Data throughout the company, enabling 'smart solutions' or 'self-serve platform'. The data steward will drive the change required to democratize access, knowledge and understanding of data. The data steward will: Maintain quality, usability, and availability of master and meta data on daily basis. Have good data security sense and implement practical rules according to company's security principles. Maintain data profiles and business metadata, tag and label data elements in business semantics, create data vocabularies across the organisation, so that data can be searchable and makes sense to data users. Define data categories and their associated rules, label each category in unique keywords so that rules can be applied accordingly. Understand technical metadata, make sure changes in technical metadata comply with organizational data governance rules. Own and lead data retention and data resilience services, work together with technology to develop the necessary tooling for this. Support the wider team in 3rd party assessments, internal and external audits. Demonstrate a passion for learning new data focused technologies, including data science, cloud storage, A