The purpose of the assignment is to strengthen the OSLO datastandards team as an expert and driver of the datastandards products, both internal and external products. A Product Owner Datastandards coordinates the development, implementation, and refinement of OSLO datastandards and the harmonization according to interoperability principles. He/she is responsible for:

• Quality assurance of datastandards services of Digitaal Vlaanderen, including validating final deliverables regarding datastandards (for RUN, internal projects, and external projects).
• The datastandards product offering and corresponding alignment with process & methodology.
• Structural maintenance of customer contact with the partner network, internal alignment with account managers regarding datastandards.
• Capturing the needs of partners for the organization and translating them into new service proposals.
• Monitoring the datastandards pipeline, including onboarding and following up on possible projects for datastandards, and more broadly Digitaal Vlaanderen.
• Informing and coordinating with key internal stakeholders within the organization (e.g., expertise center interoperability and demand office) and monitoring cross-team collaborations together with the Team Lead.
• Reporting on datastandard products.
• Drafting and communicating the vision, objectives, and roadmap of datastandard products together with the Team Lead.

The Product Owner Datastandards works closely with the Team Lead Datastandards, Manager Data Governance, POs of other Data Platform teams, and Project Leaders within the team.

Requirements:

• Demonstrable experience with data warehouse modeling
• Demonstrable experience with project-based work and data warehouse modeling or a demonstrable education in data warehouse modeling
• Demonstrable knowledge and experience with planning, designing, and building a data warehouse application using tools such as Cognos or Datastage
• Demonstrable knowledge and experience of data warehousing concepts, processes, and architectures
• Demonstrable knowledge and experience of Agile development methodology, where a leading role can be assumed
• Demonstrable knowledge and experience with building the following data warehouse components: data integration (ETL), reporting & analysis (BI), databases, and metadata
• Language requirement: Dutch at European CEFR - level C2

Context/Requirements

Digitaal Vlaanderen’s mission is to build a coherent, government-wide information policy and to support and help realize the transition of the Flemish government towards an information-driven government. The products and services of the agency are divided into programs to achieve maximum synergy and optimal service delivery to our VO partners through this program approach. Digitaal Vlaanderen is a digitalization agency of the Flemish government committed to a digital transformation of service delivery and the cooperation between governments, citizens, and businesses. We support and guide Flemish and local governments in their digital transformation and their quest for the government of tomorrow.

Business context

The Flemish government is committed to a uniform standard for information exchange. The aim is to ensure more coherence and better findability of data. In this way, everyone can use the data more easily. Standards make it possible for governments in Flanders (and also beyond) to combine data seamlessly. They form the foundation for smooth data exchange within and beyond the government, in line with the European information standards INSPIRE and ISA. Digitaal Vlaanderen assumes ultimate responsibility for the standardization of the Flemish information landscape.

Within the data governance team, and more specifically within the OSLO datastandards team, OSLO datastandards are developed, implemented, and maintained. The team develops data specifications, domain models, and application profiles based on project documentation and process descriptions. You coordinate the delivery of working groups, processed feedback from, and alignment with internal and external partners. You play a key role in realizing widely supported and reusable datastandards for data and service exchange.

Technical context

Within the context of OSLO and the drafting of datastandards, the following modeling techniques are used: UML and RDF (Turtle, JSON-LD).