Data / Information Architect – Recruitment Partners

4 months (with possible extension)
Data warehousing to support business intelligence
Organisational integration and interoperability

The Data Architect is a technical expert responsible for the development, maintenance and ongoing evolution of the Data Architecture, underpinning the Enterprise Information Management agenda. The incumbent is responsible for advocating data integration benefits and leading technical project teams in the adoption of best practice. Additionally the incumbent is responsible for developing analytical data solutions to meet business intelligence requirements, ensuring adherence to the HHS’s data warehousing strategy and maintaining the data model.

We are seeking a Data/Information Architect with experience in the Australian public healthcare sector to assist in the development of key project and program artefacts for a period of 4 months to meet deliverable deadlines. The candidate must also be able to provide strategic advice and guidance to the program on the following Data and Information Architecture areas:

Expansion of an enterprise services bus (ESB) to cater for cross organisational integration and interoperability;
Data warehousing to support business intelligence and corporate reporting requirements;
Uplift of a workflow management engine to support state-wide data management and exchange capabilities; and
Development of new workflow capabilities to support an expanded range of models of care.
How you will be assessed:

Extensive experience in the field of Data or Information Architecture with a proven track record of successfully delivering projects;
Extensive knowledge and proven skills in data management, data design, analysis relational data modelling, mapping, system integration, interface design and data migration;
Demonstrated ability in abstract thinking, visualising and effective conceptualization and pattern recognition;
Strong understanding of common information architecture frameworks including information models, information security, information classification, metamodels, taxonomies and ontologies;
Demonstrated understanding and experience with data integration techniques including; SOA, BI and data warehouse design and implementation;
Expertise in the use of data-modelling tools;
Experience in providing technical leadership, mentoring or guidance while working in a team environment to meet deadlines and manage competing priorities;
Outstanding written and verbal communication skills and experience, including effective consultation and negotiation skills;
Excellent interpersonal skills with an ability to build and maintain strong relationships; and
Proven ability to take responsibility and deliver outcomes within complex situations with minimal supervision.

For more information please call Renee Clayton (renee.clayton@uandu.com) at u&u on 0477 778 449, quoting reference number 9584. Alternatively, to submit an application, please click below.

Please submit your resume in Word format only.