Head of Common Data Warehouse Core
Schibsted Sverige AB / Datajobb / Stockholm
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hela Sverige Visa alla jobb hos Schibsted Sverige AB i Stockholm Analytics is about connecting people to data. In Analytical Foundations we want to do exactly that. Our vision is to "Enable all the people in Schibsted to leverage any data" and we will head towards that vision by removing friction between data and people throughout the 45+ Brands that make up Schibsted. Foundational capabilities include Analytical Data and Model Governance, Cross Brand Insights, Analytical Platform and Data Warehousing of key Cross Brand domains.
The Schibsted Common Data Warehouse
Our approach to providing all of our colleagues with data that is useful for them in their daily work is not one of centralization but rather of commonization and Mesh thinking. Through proactive collaboration with partner teams and stakeholders throughout Schibsted we isolate data domains, align on commonalities and remove redundancies by determining domain ownership and responsibilities. Our Common Data Warehouse is being built by many teams as an interconnected, joinable node structure.
Common Data Warehouse Core Team
Schibsted operates market leading digital Brands across the Nordics including Brands such as FINN.no, VG.no, Blocket.se and Aftonbladet.se. Data and Analytics are key capabilities within all Schibsted Brands and all employ highly proficient local teams in this field. Schibsted Analytical Foundations have in addition established the Common Data Warehouse Core team providing architecture, technical platform and core data domains common to all Schibsted Brands. The Core team primarily focuses on the domains of User, Content, Behavioural and Transactions. Leveraging data captured across the whole of Schibsted, the Core team serves data as a product for intersecting business needs to all Brands, Divisions and Corporate functions. Divisional and Brand teams such as the CDW Marketplaces sister team extends on the Core with data specific to their scope. The CDW Core team has the added responsibility of framework, architecture and best practices that ensures efficient and consistent development of Extensions.
The Role
The Head of Common Data Warehouse Core will be responsible for leading a relatively small yet highly impactful team of data engineers and self service developers dedicated to delivering friction free, flexible and relevant common data as a product across Schibsted. It is a highly collaborative role that needs to retain close relationships to local and divisional Data & Analytics teams, other Foundational Schibsted functions, such as Schibsted Account and the CDW Marketplaces team, as well as being a Key stakeholder towards the Schibsted data platform. The Role demands formal and informal leadership, proactive product thinking, deep technical competency and vision in the field of data engineering as well as an agile and collaborative mindset. As head of Common Data Warehouse Core it is key that you maintain a network of Stakeholders and partners in order to develop and maintain a keen understanding of their businesses and product.
Responsibilities
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Lead a modern, high performing and people oriented data engineering team that will design and implement the Core of our Common Analytical Model (CAM)
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Drive and own the technical and logical Core components of our Common Data Warehouse (CDW) in close collaboration with other CAM contributors
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Proactively ensure data privacy regulations are solidly, effectively and efficiently adhered to in all our data engineering work both by architectural design and by strong processes
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Discover, align and ensure prioritisation of CAM Core scope and requirements
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Work closely with the Analytical Data Governance team to ensure overall data model coherency and interconnectedness across the Schibsted CAM Domains
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Ensure frictionless CAM data access for a variety of users and use cases both for Core and Extension scopes
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Ensure generic default views on owned data, i.e. business oriented aggregate Views, widely available dashboards and self service BI
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Own, develop and execute on implementation roadmap for both the Common Data Warehouse as a platform as well as the Common Analytical Model Core
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Drive the expansion and proliferation of the Common Analytical Model as a whole including processes of convergence to reduce redundancy of data processing and disparate sources of truth
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Continuously survey the technical architecture, tooling and solution landscape seeking opportunities to optimise time to data, data quality and model agility
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Collaborate closely with with Data Foundations team on ensuring optimal data platform support for the analytical use case while exploring additional opportunities effectively leveraging the structured data of CAM
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Ensure a service minded team culture that promotes data-driven decisions and ensure excellent data quality in collaboration with Data Quality Managers
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Support and participate in the Analytical Data Governance team efforts towards identifying governance requirements and designing efficient and effective governance workflows
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Nurture a transparent Engineering Culture to limit dependencies and increase team awareness of time-to-data.
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Be an active participant in our user community
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Drive development of a Data Observability Culture
Schibsted is a family of digital brands with a strong Nordic position, and more than 5,000 employees. Millions of people interact with our companies every day through our leading online marketplaces, world-class media houses. We also help new promising businesses grow. Our joint mission of empowering people in their daily lives is rooted in the values of our media heritage and a legacy of bold change. At our best, we are a fearless force for change in a society built on trust and transparency.
Data & Tech is a central product and tech unit that serves all of Schibsted. We are about 250+ people in Oslo, Stockholm and Krakow, and collaborate closely with other product and tech teams in all units in Schibsted. Areas of responsibilities include data & technology strategy, privacy/data trends/responsible data & machine learning, information security and internal IT.
Varaktighet, arbetstid
Heltid Tillsvidare
Publiceringsdatum2022-06-14ErsättningFast månads- vecko- eller timlön
Så ansöker duSista dag att ansöka är 2022-12-10
Klicka på denna länk för att göra din ansökanFöretagSchibsted Sverige AB
Omfattning Detta är ett heltidsjobb.
Arbetsgivare Schibsted Sverige AB (org.nr 556536-9500),
http://www.schibsted.com/ Arbetsplats Schibsted
Jobbnummer 6741642
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