# GM Data & AI Engineering Delivery at ANZ

ANZ is hiring a GM Data & AI Engineering Delivery in Melbourne, Australia. Level rates it Works on AI ●●●○; you can [apply on ANZ](https://jobsbylevel.com/go/ea229205-0e85-4872-89e3-08f75b30d6a8?utm_medium=ai-agent).

AI Level 3, AI centrality 64 out of 100. Melbourne.

## Details

- Company: [ANZ](https://jobsbylevel.com/companies/anz)
- AI level: AI Level 3 (score 64 out of 100)
- Location: Melbourne
- Posted: October 21, 2026
- Apply: https://jobsbylevel.com/go/ea229205-0e85-4872-89e3-08f75b30d6a8?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=gm-data-ai-engineering-delivery-at-anz-878056

## Description

About Us At ANZ, we're shaping a world where people and communities thrive, driven by a common goal: to improve the financial wellbeing and sustainability of our millions of customers Within our technology team we are applying new ways technology and data can be harnessed as we work towards a common goal: to improve the financial wellbeing and sustainability of our millions of customers. Our community of over 5,000 engineers is key to making this happen, because technology underpins every part of our business - from delivering tools, apps and services for our customers, to building a bank for the future. About the Role The GM – Data and AI Engineering, Delivery is responsible for leading the engineering and delivery capability that underpins the organisation’s data and AI ambitions. This role ensures the reuse of enterprise-wide secure, scalable, and high-quality data pipelines, transformations, and build out of the data products to support business use-cases/ outputs, business applications, advanced analytics and AI/ ML outcomes. Reporting to the Chief Data & AI Officer, this role bridges strategy and execution, translating data and AI priorities into reliable, production-ready data products and engineering practices. You will drive reuse, automation and embrace cross-divisional ways of working, and standardised delivery models that support efficient, high-quality outcomes across the enterprise. As a senior leader, you will partner closely with architecture, governance, AI portfolio teams, and business stakeholders to ensure that data is accessible, trustworthy, and ready to power everything including, AI models and decision-making at scale. Role Type: Permanent Role Location: Melbourne or Brisbane or Sydney Work Hours: Full Time What will your day look like? Lead the Data and AI engineering function, including capability development, standards, and ways of working Establish and embed modern engineering practices (Agile, DevOps, DataOps) across teams Design, build, and reuse secure, scalable data pipelines and transformations Deliver reusable, high-quality data products that enable business use-cases/ outputs, business applications, advanced analytics and AI/ ML outcomes Provide high-quality, production-ready data outputs to support AI and ML model development Define and enforce engineering standards, frameworks, and best practices Ensure high standards of data quality, lineage, and observability Oversee end-to-end delivery of data and AI engineering initiatives Manage prioritisation, backlog, and execution across multiple teams and delivery streams Partner with architecture, governance, AI Portfolio, platform teams, and business stakeholders Align engineering delivery to enterprise architecture, data governance, and AI strategy Ensure data pipelines and products meet security, privacy, and regulatory requirements Drive improvements in engineering efficiency, automation, and delivery performance Foster a culture of continuous learning, innovation, and quality improvement What will you bring? To grow and be successful in this role, you will ideally bring the following: Deep expertise in data engineering, data pipelines, and large-scale data processing Strong experience in AI/ML data enablement and integration with engineering workflows Proven ability to build and scale data products and reusable engineering assets Strong understanding of modern data architectures (data lakes, warehouses, streaming, data mesh) Experience with cloud-based data platforms and engineering tools Knowledge of DataOps, DevOps, and agile delivery practices Strong understanding of data governance, quality, lineage, and security requirements Proven leadership of large engineering and delivery teams at scale Excellent stakeholder engagement and ability to translate business needs into technical delivery Execution excellence at scale, delivering complex data engineering initiatives reliably across multiple teams Bridging strategy to delivery, translating

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/gm-data-ai-engineering-delivery-at-anz-878056

Source: https://jobsbylevel.com/jobs/gm-data-ai-engineering-delivery-at-anz-878056

## Cite this page

Level. https://jobsbylevel.com/jobs/gm-data-ai-engineering-delivery-at-anz-878056.

Get job alerts: https://jobsbylevel.com/newsletter