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 Platforms is responsible for the strategy, build, and operation of the organisation’s enterprise data and AI platforms. This role ensures the provision of secure, scalable, and high-performing platforms that enable data-driven decision-making, advanced analytics, and AI innovation across the business.

Reporting to the Chief Data & AI Officer, this role owns the end-to-end platform ecosystem, including data platforms, AI/ML platforms, and associated tooling and practices. This role will ensure that platforms meet regulatory and security requirements while delivering seamless, reliable access to high-quality data and AI services for business and technology teams.

As a senior leader, this role will balance platform stability, cost, innovation, and scalability ensuring that enterprise platforms underpin the organisation’s data and AI ambitions.

Role Type: Permanent 
Role Location: Bengaluru
Work Hours: Full Time 

What will your day look like?

• Define and own the enterprise Data and AI platform strategy and roadmap
• Align platform evolution with data strategy, AI strategy, and business priorities
• Identify opportunities for modernisation, consolidation, and capability uplift
• Accountable for the delivery, operation, and continuous improvement of shared data and AI platforms
• Ensure platforms are highly available, scalable, and performant
• Oversee lifecycle management across platform design, build, run, and optimisation
• Provision and operate AI and Generative AI platforms to support experimentation and production workloads
• Enable efficient model development, deployment, and lifecycle management (MLOps)
• Enable delivery of curated, governed data products that support analytics, reporting, and AI use cases
• Ensure platforms meet regulated banking and enterprise requirements (security, privacy, resilience, compliance)
• Own platform financials, including budgeting, forecasting, and cost optimisation
• Define and enforce platform engineering standards, tooling, and best practices
• Drive adoption of modern engineering approaches (cloud-native, automation, infrastructure-as-code)
• Partner with AI Portfolio, Data, Architecture, and business teams to align platform capabilities with demand
• Enable teams through clear SLAs, service models, and support structures
• Build and lead a high-performing platform engineering and operations team
• Develop organisational capability in data engineering, platform engineering, and AI infrastructure

What will you bring?

To grow and be successful in this role, you will ideally bring the following:

• Deep expertise in data platforms, AI/ML platforms, and cloud-based architectures
• Proven experience defining and delivering enterprise platform strategies and roadmaps
• Strong knowledge of modern data ecosystems (data lakes, warehouses, streaming, data products)
• Experience with AI/ML and Generative AI platforms and MLOps practices
• Strong understanding of security, privacy, and regulatory requirements in a regulated environment (e.g., banking)
• Demonstrated capability in operating large-scale, highly available platforms
• Experience managing platform costs, budgets, and vendor relationships
• Strong leadership in platform engineering, DevOps, and cloud-native practices
• Excellent stakeholder engagement and ability to align platform capabilities with business needs
• Platform product mindset, treating data and AI platforms as products with clear users, value propositions, and SLAs
• Balancing innovation with stability, enabling rapid AI experimentation while maintaining enterprise-grade reliability
• Strategic cost optimisation, managing high-cost compute (e.g. AI workloads) efficiently at scale
• Master’s degree or PhD degree in Computer Science, Engineering, Actuarial Studies , Data Science or AI with 15y+ proven, hands on enterprise deployment experience in financial services .

So why join us? (Bengaluru GCC)

ANZ is a place where big things happen as we work together to provide banking and financial services across more than 30 markets. With more than 8,500 people, our Bengaluru team is the bank's largest technology, data and operations centre outside Australia. In operation for over 33 years, the centre is critical in delivering the bank's strategy and making an impact for our millions of customers around the world. Our Bengaluru team not only drives the transformation initiatives of the bank, it also drives a culture that makes ANZ a great place to be. We're proud that people feel they can be themselves at ANZ and 90 percent of our people feel they belong. 

We know our people need different things to be great in their role, so we offer a range of flexible working options, including hybrid work (where the role allows it). Our people also enjoy a range of benefits including access to health and wellbeing services.

We want to continue building a diverse workplace and welcome applications from everyone. Please talk to us about any adjustments you may require to our recruitment process or the role itself. If you are a candidate with a disability or access requirements, let us know how we can provide you with additional support.

To find out more about working at ANZ visit https://www.anz.com/careers/. You can apply for this role by visiting ANZ Careers and searching for reference number 127087.

Job Posting End Date

05/11/2026, 11.59pm, (Melbourne Australia)