* Serve as the technical platform owner for our modern Data & AI platform. Lead the design, implementation and evolution of data engineering solutions that enable real-time data processing, IoT integration, and advanced analytics capabilities across the organisation.* Drive innovation through Generative AI and Machine Learning capabilities, establishing frameworks and pipelines that enable predictive analytics, intelligent automation and data-driven decision making to transform patient care and operational efficiency.* Enable data democratisation by building robust, user-friendly data pipelines and self-service analytics capabilities that empower stakeholders across the organisation to access and leverage data insights independently and securely.* Design and implement cloud-native data architectures including data lakes, lakehouses, streaming platforms and interoperability layers. Establish data modelling standards, ETL/ELT processes and data quality frameworks that support scalable, reliable data operations.* Build strong relationships with clinical, operational and technical stakeholders to understand data needs, gather requirements and implement process change management. Act as a trusted advisor on data engineering best practices and innovation opportunities.* Ensure the Mission, Vision, Creed, and Values of SVHA (Compassion, Justice, Integrity, Excellence) are effectively integrated into all areas of responsibility, maintaining ethical data practices and patient-centered technology solutions.* Tertiary qualification Degree in Data Science, Statistics, Computer Science, or a related field* Extensive experience in data engineering, data architecture, and modern cloud-native data platforms (Azure preferred, Fabric, databricks, snowflake desirable)* Proven track record of leading data engineering initiatives and serving as a platform owner for enterprise data solutions* Strong expertise in data modelling, ETL/ELT pipelines, data warehousing, and real-time data processing* Experience with AI/ML platforms, including Generative AI integration and MLOps practices* Demonstrated ability to design and implement self-service analytics and data democratisation initiatives* Deep understanding of data governance, data quality frameworks, and interoperability standards (particularly in healthcare)* Excellent stakeholder management and communication skills, with ability to translate technical concepts for diverse audiences* Experience driving innovation and continuous improvement in complex organisational environments* Data, infrastructure and/or AI certifications by recognised providers (Microsoft,, Databricks, Snowflake etc.)* Knowledge and experience of the health industry and healthcare data standards (HL7, FHIR)* Experience with IoT data platforms and real-time streaming technologies* Track record of leading digital transformation initiatives in large, complex organisations* Opportunity to lead the engineering transformation for a major healthcare organisation* Ability to visibly see your impact on patient care and health service delivery* Work with cutting-edge technologies including AI, ML, IoT and modern cloud platforms* Competitive salary packaging options* Discounted private health insurance* Employee Assistance Program for staff and their families* Access to the Fitness Passport (FP)* Serve as the technical platform owner for our modern Data & AI platform. Lead the design, implementation and evolution of data engineering solutions that enable real-time data processing, IoT integration, and advanced analytics capabilities across the organisation.* Drive innovation through Generative AI and Machine Learning capabilities, establishing frameworks and pipelines that enable predictive analytics, intelligent automation and data-driven decision making to transform patient care and operational efficiency.* Enable data democratisation by building robust, user-friendly data pipelines and self-service analytics capabilities that empower stakeholders across the organisation to access and leverage data insights independently and securely.* Design and implement cloud-native data architectures including data lakes, lakehouses, streaming platforms and interoperability layers. Establish data modelling standards, ETL/ELT processes and data quality frameworks that support scalable, reliable data operations.* Build strong relationships with clinical, operational and technical stakeholders to understand data needs, gather requirements and implement process change management. Act as a trusted advisor on data engineering best practices and innovation opportunities.* Ensure the Mission, Vision, Creed, and Values of SVHA (Compassion, Justice, Integrity, Excellence) are effectively integrated into all areas of responsibility, maintaining ethical data practices and patient-centered technology solutions.* Tertiary qualification Degree in Data Science, Statistics, Computer Science, or a related field* Extensive experience in data engineering, data architecture, and modern cloud-native data platforms (Azure preferred, Fabric, databricks, snowflake desirable)* Proven track record of leading data engineering initiatives and serving as a platform owner for enterprise data solutions* Strong expertise in data modelling, ETL/ELT pipelines, data warehousing, and real-time data processing* Experience with AI/ML platforms, including Generative AI integration and MLOps practices* Demonstrated ability to design and implement self-service analytics and data democratisation initiatives* Deep understanding of data governance, data quality frameworks, and interoperability standards (particularly in healthcare)* Excellent stakeholder management and communication skills, with ability to translate technical concepts for diverse audiences* Experience driving innovation and continuous improvement in complex organisational environments* Data, infrastructure and/or AI certifications by recognised providers (Microsoft,, Databricks, Snowflake etc.)* Knowledge and experience of the health industry and healthcare data standards (HL7, FHIR)* Experience with IoT data platforms and real-time streaming technologies* Track record of leading digital transformation initiatives in large, complex organisations* Opportunity to lead the engineering transformation for a major healthcare organisation* Ability to visibly see your impact on patient care and health service delivery* Work with cutting-edge technologies including AI, ML, IoT and modern cloud platforms* Competitive salary packaging options* Discounted private health insurance* Employee Assistance Program for staff and their families* Access to the Fitness Passport (FP)Founded by the Sisters of Charity more than 180 years ago, St Vincent's is a clinical, research and education leader delivering private hospital, public hospital and aged care services across NSW, VIC and QLD. Our founder, Mary Aikenhead's vision, commitment and inspiration lives on in us and the work we do.From modest beginnings, St Vincent's Health Australia is today the nation's largest not-for-profit health and aged care provider, offering services in Queensland, New South Wales and Victoria, including public and private hospitals and aged care facilities. The St Vincent's family comprises 22,000 outstanding nurses, researchers, cooks, doctors, executives, administrators, cleaners, volunteers and more.#J-18808-Ljbffr