Data Engineering & Innovation Lead

219

Competitive salary pyckaging options; not specifie...
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Cloud-native data platforms azure fabric databricks snowflake
Real-time iot data integration and streaming
Generative ai and machine learning mlops
** St Vincent's Health Australia (SVHA) seeks a Data Engineering & Innovation Lead to spearhead the transformation of healthcare technology through the development of an integrated Data, AI, and Interoperability Platform. The role involves leading data engineering initiatives, promoting AI capabilities, and enhancing patient care through data-driven solutions. **

Job Summary

  • This role serves as the technical platform owner for a modern Data & AI platform driving St Vincent's transformation to cloud and AI-native capabilities.
  • The successful candidate will lead the design of solutions enabling real-time IoT integration, Generative AI, and self-service analytics across the healthcare ecosystem.
  • Employees benefit from competitive salary packaging, discounted private health insurance, access to the Fitness Passport, and the opportunity to visibly impact patient care.

Matching Summary

Match Score: 75

** St Vincent's Health Australia (SVHA) seeks a Data Engineering & Innovation Lead to spearhead the transformation of healthcare technology through the development of an integrated Data, AI, and Interoperability Platform. The role involves leading data engineering initiatives, promoting AI capabilities, and enhancing patient care through data-driven solutions. **

Salary

Competitive salary packaging options; Not specified; Discounted private health insurance; Employee Assistance Program; Access to Fitness Passport

Skills & Requirements

Must-have

  • Cloud-native data platforms Azure Fabric Databricks Snowflake
  • Real-time IoT data integration and streaming
  • Generative AI and Machine Learning MLOps
  • Self-service analytics and data democratisation
  • Data modelling ETL ELT pipelines warehousing
  • Healthcare interoperability standards HL7 FHIR
  • Stakeholder management in complex clinical environments

Nice-to-have

  • Microsoft Databricks Snowflake certifications
  • Experience leading digital transformation in large orgs
  • Knowledge of health industry specific data standards
  • Track record of embedding AI into patient services
  • Strong ethical data practices and patient-centered focus

Key Requirements

  • Degree in Data Science Statistics Computer Science or related field
  • Extensive experience in data engineering and enterprise platform ownership
  • Deep understanding of data governance and quality frameworks
  • Proven ability to translate technical concepts for diverse audiences

Work Rights

Not specified

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