Data Catalogue Manager

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.

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Job Details

As people increasingly move across channels and platforms, Kantar Media’s data and audience measurement, targeting, analytics and advertising intelligence services unlock insights to inform powerful decision-making.
Working with panel and first-party data in over 80 countries, we have the world’s fastest growing cross-media measurement footprint, underpinned by versatility, scale, technology and expertise, to drive long-term business growth for our clients and partners.

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, useability, 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.I, and other data focused approaches and future paradigm shifts with how large volumes of data can be managed.

The data steward role sits in the intersection between business and technology. She / He is a person who understands the business problems and company solutions, but this is also a person who understands the data assets involved and how they are brough together to deliver the value to customers.

Skills and qualifications

• Strong knowledge of database management systems and data governance frameworks,
• Knowledge of any Data Catalog or Metadata management tools, understand the elements of self-service platform.
• Knowledge of Master Data Management and Reference Data Management.
• Good understanding of data classification and data profiling, demonstrate real life DataOps skills.
• Know how to deal with data quality control, data security and data resilience from ops point of view.
• Understanding of basic Relational, NoSQL, Data Warehouse and Big Data concepts,
• Experienced in SQL querying
• Excellent written and verbal communication skills in English, with the ability to communicate technical information to a non-technical audience.
• Ability to interpret contractual requirements into processes and enabling technology.
• Understanding of cyber security concepts, data privacy and data protection laws.

Experience requirements

• Bachelor's or Master's degree or equivalent in computer science, information systems management, statistics / data science, or a related field.
• Experience in working in a cross functional environment, e.g. business, architects, engineering and data science teams.
• Experience in the media domain (digital advertising, social media, television) will be considered a plus

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Country

Spain

Why join Kantar?

We pride ourselves on understanding people, and what makes us think and act the way we do.

And because we know people, we like to make sure our own people are being looked after as well. Equality of opportunity for everyone is our highest priority and we support our colleagues to work in a way that supports their health and wellbeing. While we encourage teams to spend part of their working week in the office, we understand no one size fits all; our approach is flexible to ensure everybody feels included, accepted, and that we can win together. We’re dedicated to creating an inclusive culture and value the diversity of our people, clients, suppliers and communities, and we encourage applications from all backgrounds and sections of society. Even if you feel like you’re not an exact match, we’d love to receive your application and talk to you about this job or others at Kantar.