Director Data and Analytics Engineering

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.

About the role

The primary role of the Director of Data and Analytics Engineering within the Global Data and Intelligence Platform (GDP) team is to lead the delivery of trusted, self-service analytics solutions enabling data-driven decisions across the corporate functions - Finance, Supply Chain, People, QARA etc., ensuring that we have the tools, capabilities, and insights needed to make data-driven decisions.

This role will be responsible for developing and implementing a strategic vision for data and analytics engineering, as well as for building and leading a high-performing team. This role will be a thought leader in AI to drive the application and adoption of emerging AI-powered data and analytics engineering tools, and for building a foundation of integrated data to enable AI-driven experiences across these functions. This role works closely with customers and other stakeholders to understand and define customer needs.

Let's talk about responsibilities:

• Implement data pipeline integrations and solutions, incorporating highly scalable cloud computing and large-scale data stores, including data lakes, data warehouses, and data marts.
• Partner with business leaders to identify and address their data and analytics engineering needs, and data scientists/analysts to determine which data is needed for analysis and provide the required data and analytics engineering solutions.
• Develop and implement a data governance framework to ensure the accuracy, consistency, and security of data
• Focus on the development and implementation of strategic and operational objectives that help achieve the organizational mission. Implements organization strategies through the effective direction and management of employees and resources.
• Regularly interacts with executives and/or major customers; maintaining relationships with key stakeholders at al levels in the organisation.
• Interactions frequently involve special skills, such as negotiating with customers or management or attempting to influence senior-level leaders regarding matters of significance to the organization.
• Provides leadership to managers, supervisors, and/or professional roles.
• Collaborate with other data, analytics, and technology functions across the organization on analytics engineering solutions, share best practices and insights, and lead the adoption of enterprise analytics technologies

Let's talk about Qualifications and Experience

• Bachelor's degree in computer science, Data Science, or related fields
• Minimum of 12 years of experience in Data and Analytics Engineering, especially in Supply Chain or Finance domains. Experience in technologies like Snowflake, SQL, dbt, and Python is required.
• Proven ability to work cross-functionally, develop analytics solutions to challenges, and drive the implementation of the solution
• Ability to work well through ambiguity, confidence in making tough calls and leading through adversity with a sharp focus on the eventual right outcomes
• Excellent communication skills with an ability to translate complex technical concepts into easy-to-understand stories and insights
• Strong work ethic, commitment to sweat the details with extreme ownership and end-to-end thinking

Preferred:

• Looks beyond existing methodologies and own discipline to define and resolve complex problems, has in-depth knowledge of organizational objectives.
• Experience with AI and machine learning, with a record of practical application of these technologies

What We Offer:

• Competitive Salary Package – Rewarding your talent and contributions.
• Free Onsite Gym – Stay active and energized with convenient access to fitness facilities.
• Employee Stock Purchase Program – Share in our success with discounted stock options.
• Comprehensive Insurance Coverage – Including Life, Total & Permanent Disability (TPD), and Income Protection.
• Collaborative culture – work with industry-leading experts in a supportive, fast-paced environment.
• Career growth – thrive in a world-class tech ecosystem with global opportunities.

#LI-APAC

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.