What are the responsibilities and job description for the Principal Engineer, Data and AI Platform Engineering position at ResMed?
Global Technology Solutions (GTS) at ResMed is a division dedicated to creating innovative, scalable, and secure platforms and services for patients, providers, and people across ResMed. The primary goal of GTS is to accelerate well-being and growth by transforming the core, enabling patient, people, and partner outcomes, and building future-ready operations.
The strategy of GTS focuses on aligning goals and promoting collaboration across all organizational areas. This includes fostering shared ownership, developing flexible platforms that can easily scale to meet global demands, and implementing global standards for key processes to ensure efficiency and consistency.
At ResMed, we are changing lives with every breath - improve patient quality of life, prevent chronic disease progression and reduce healthcare system costs.
Our mission is to empower ResMed to solve complex problems through secure, scalable, and reliable Data, Analytics and AI / ML solutions. As a Principal Data and AI / ML Platform Engineer, you will architect and lead data technology initiatives across ResMed's Data and AI Platform organization. You'll develop strategies for AI / ML, data platforms, services, governance, and analytics while ensuring alignment with business goals. This role combines technical expertise with leadership to drive innovation on our platform serving the ResMed Data community. Working with cutting-edge technologies, you'll collaborate across teams to shape architectural design and develop technical talent.
Responsibilities and Accountabilities
- Lead the technical evolution of data engineering, analytics, and AI / ML capabilities, ensuring incremental solution delivery and proactive risk management
- Develop deep technical expertise across data domains to guide cross-team initiatives and optimize productivity
- Set and maintain high standards for data quality, platform reliability, and security while addressing scalability challenges
- Drive strategic technical decisions that balance business needs with long-term sustainability across data engineering, analytics, and AI / ML initiatives
- Mentor and coach data engineering teams, collaborate with engineering leadership, and provide actionable feedback for team growth
- Effectively communicate technical concepts to both technical and non-technical stakeholders at all management levels
- Provide thought leadership in data architecture, governance, and technology selection to shape company-wide technical direction
Qualifications and Experience
Joining us is more than saying "yes" to making the world a healthier place. It's discovering a career that's challenging, supportive and inspiring. Where a culture driven by excellence helps you not only meet your goals, but also create new ones. We focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace and thrive on the innovative ideas this generates. If this sounds like the workplace for you, apply now! We commit to respond to every applicant.
