AI-Driven Data Platform Lead in Sydney

AI-Driven Data Platform Lead in Sydney

Sydney Full-Time 121500 - 148500 $ / year (est.) On-site
X

At a Glance

  • Tasks: Lead the transformation of our marketing data stack and integrate AI capabilities.
  • Company: Join Xero, a leading tech company in Melbourne with a focus on innovation.
  • Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
  • Other info: Be part of a dynamic team that values collaboration and creativity.
  • Why this job: Make a real impact by modernising data processes and driving AI initiatives.
  • Qualifications: Proven experience in data architecture and strong communication skills.

The predicted salary is between 121500 - 148500 $ per year.

Xero in Melbourne is seeking a senior data platform leader to modernize our marketing data stack and embed AI capabilities across data products.

You will own the architecture, ensure scalable real-time data flows, and dismantle silos.

Working with data engineers, scientists, and business units, you will translate strategy into deliverable requirements and push for rapid, value-focused improvements.

This role blends strategic architecture with hands-on delivery and requires strong communication

#J-18808-Ljbffr

AI-Driven Data Platform Lead in Sydney employer: Xero

Xero is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of Melbourne or Sydney. As a Senior Mobile Engineer, you'll enjoy meaningful ownership of projects, opportunities for professional growth through mentoring, and the chance to influence the development of cutting-edge mobile applications that empower small businesses globally. With a strong focus on engineering excellence and a commitment to leveraging AI in workflows, Xero provides a supportive environment where your contributions have a real-world impact.

X

Contact Details:

Xero Recruitment Team

We think you need these skills to ace AI-Driven Data Platform Lead in Sydney

Data Architecture
AI Integration
Real-Time Data Processing
Data Engineering
Collaboration with Data Scientists
Business Requirements Translation
Strategic Planning