We are looking for an experienced Engagement Manager / Delivery Leader to manage large-scale Data Engineering, Data Science and Analytics programs for enterprise clients in Australia.

Key Responsibilities

- Lead end-to-end delivery of large, multi-workstream Data Engineering / Data Science programs.
- Manage client relationships, senior stakeholders, steering committees and governance.
- Own project scope, budget, forecasting, resources, risks and delivery timelines.
- Lead cross-functional teams including Data Engineers, Data Scientists, Analysts, Architects and QA.
- Drive governance, RAID management, issue resolution and executive reporting.
- Work closely with technical teams and have good understanding of Data Engineering, ETL/ELT, Cloud, Data Platforms, Analytics and AI/ML.
- Support SOWs, proposals, change requests and account growth.

Required Skills




- 12–15+ years of overall experience with strong Engagement / Delivery / Program Management experience.
- Minimum 5 years managing large Data Engineering / Data Science / Analytics programs.
- Strong client-facing and executive stakeholder management experience.
- Experience managing large teams, vendors and multiple workstreams.
- Solid understanding of AWS / Azure / GCP, ETL/ELT, Data Platforms, Data Analytics and AI/ML.
- Strong experience with budgets, commercials, governance and delivery management.
- Australian / ANZ client delivery experience is highly preferred.
- Consulting / System Integrator background, especially Big 4 / Tier-1/Tier-2 SI / Data & AI consulting, is preferred.

📌 Engagement Manager – Data Engineering & Data Science (Melbourne)
🏢 360 Technology
📍 Melbourne