Delivery Lead, Data & Analytics Programs in Melbourne

Delivery Lead, Data & Analytics Programs in Melbourne

Melbourne Full-Time 60750 - 74250 $ / year (est.) On-site
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At a Glance

  • Tasks: Lead cross-functional teams to deliver data solutions in a dynamic fintech environment.
  • Company: Join Pepperstone Group, a leading fintech company in Melbourne.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Exciting opportunity to work in a fast-paced, innovative environment.
  • Why this job: Make a real impact by turning business priorities into actionable data strategies.
  • Qualifications: Experience in data delivery and strong Agile/DataOps skills required.

The predicted salary is between 60750 - 74250 $ per year.

Pepperstone Group Limited is seeking an experienced Delivery Lead, Data in Melbourne to turn business priorities into a clear delivery roadmap for the global Enterprise Data function.

You will lead cross‑functional teams, align dependencies, and ensure timely, quality data outcomes in a regulated, dynamic fintech environment.

The role focuses on end-to-end delivery across multiple squads, partnership with Product, Trading and Risk, and a strong emphasis on Agile/Data Ops practices.

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Delivery Lead, Data & Analytics Programs in Melbourne employer: Pepperstone Group Limited

Pepperstone Group Limited is an attractive employer due to its vibrant and diverse organizational culture that fosters inclusivity and collaboration. The company is dedicated to individual growth and professional development, ensuring work-life harmony for its employees. With a focus on innovation and fresh ideas, Pepperstone encourages its team to challenge conventional thinking and contribute to transformative solutions in the fintech industry.

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Contact Details:

Pepperstone Group Limited Recruitment Team

We think you need these skills to ace Delivery Lead, Data & Analytics Programs in Melbourne

Delivery Roadmap Development
Cross-Functional Team Leadership
Dependency Alignment
Timely Data Outcomes
Quality Assurance
Agile Methodologies
DataOps Practices