VET Data Streamlining (VDS) – EL1 Conceptual Data Designer
Tender ID: 484437
Tender Details
Tender Description
This Tender is invited by the Issuer.
DESE is leading the development of a new Vocational Education and Training (VET) data collection and reporting system. The VET Data Streamlining (VDS) project is an exciting opportunity to help shape a major piece of national data infrastructure, working with state and territory governments and VET sector stakeholders. VDS is a significant, complex, multi jurisdiction project that will improve transparency and streamline administration across the VET sector.
Through the application of modern digital technology, VDS will increase the availability, timeliness, and relevance of VET data for all users. The Australian Government is working with state and territory governments and the NCVER to implement the VDS program over three years.
The achievement of VDS program objectives will underpin reforms to improve VET market performance by enabling stakeholders to make evidence-based decisions; ensuring compliance with registration requirements; manage programs; and understand changes to the VET market as they occur.
The Role
The EL1 position will provide the successful candidate with the opportunity to demonstrate and expand their conceptual data design and stakeholder management skills, being part of the VDS Data team. They will have the opportunity to work on a national transformation project in a cross jurisdictional, multidisciplinary team.
Key responsibilities of the EL1 Conceptual Data Designer position include, but are not limited to:
• Contributing to the design of new systems and processes for the collection, sharing and use of high value data;
• Designing conceptual data elements, including data definitions and metadata;
• Representing the department at cross-jurisdictional forums to negotiate agreed outcomes on data.
The ideal candidate will be able to demonstrate the following capabilities/experience and/or qualifications:
• The ability to understand data concepts, data collection mechanisms and data uses for analysis and policy, and to use this understanding to design new data collection arrangements and improve existing collections.
• Strong written and verbal communication skills
• Well-developed stakeholder engagement skills, including the capability to develop and maintain strong, productive and collaborative relationships with internal and external stakeholders, and support their team to do the same
• Ability to exercise judgment, operate independently and understand the impact of the wider environment on own work and team objectives