Sydney, NSW | Hybrid working.
Key Leadership function

Are you ready to make you mark?

As Executive Manager – MLOps & Agentic Analytics, you will build and scale the machine learning operations capability that underpins Westpac Intelligence. Your focus is to deliver—and continuously evolve—a robust MLOps ecosystem that enables safe, compliant same‑day model development, training, deployment and refinement, while laying the foundations for agentic advanced analytics across the organisation.

This is a senior leadership role combining strong people leadership with deep technical accountability. You will ensure ML systems are production‑grade, observable, reusable and governed by design—then work across data science, engineering, risk and product to remove friction from the model lifecycle and accelerate measurable value from analytics and AI.

You will complement the Data, Digital & AI (DDAI) function that defines and delivers the division's data, digital and AI strategy—partnering with leaders across the bank to unlock value through advanced analytics, responsible AI and modern digital platforms. We play a critical role in enabling smarter decisions, improving customer experiences, and maintaining strong risk and regulatory standards.

Within DDAI, Westpac Intelligence is the enterprise intelligence capability responsible for standardising and scaling AI/ML delivery across the bank. In this role, you'll lead teams that build the shared MLOps platforms, tooling and patterns used by both central and federated analytics teams—setting the operational standard for how models move safely from idea to production.

Your responsibilities -

• Lead the design, build and continuous improvement of a scalable MLOps ecosystem that supports rapid, same‑day model development, deployment and iteration.
• Establish standardised pipelines, tooling and engineering patterns for model training, inference, monitoring and lifecycle management.
• Enable agentic build patterns for advanced analytics models, including automated experimentation, feature engineering and model refinement.
• Partner with data scientists to operationalise models as secure, reliable and scalable production services.
• Embed governance, model risk, explainability and compliance controls into ML platforms by design.
• Drive automation across CI/CD, testing and deployment to reduce manual effort and shorten delivery cycle times.
• Lead and develop a high‑performing team of machine learning and platform engineers, setting clear standards, ways of working and expectations.
• Collaborate with platform, data and architecture teams to align MLOps capabilities to enterprise reference architectures and roadmaps.

Your core accountabilities -

• MLOps Platform Reliability: Own the stability, performance and scalability of machine learning platforms and services.
• Speed to Production: Deliver materially reduced cycle times from model development to production deployment.
• Risk & Compliance: Ensure ML systems meet governance, auditability and regulatory requirements.
• Enablement & Reuse: Provide reusable tooling, patterns and services that uplift ML capability across federated teams.
• People Leadership: Build, retain and develop strong capabilities in machine learning and MLOps.

Essential ingredients for success …

• Proven experience leading technology engineering teams that build and operate ML platforms in complex and/or regulated environments.
• Strong hands‑on background in MLOps, including model lifecycle management, CI/CD and monitoring.
• Experience partnering closely with data scientists to productionise advanced analytics and ML models.
• Deep understanding of cloud‑native architectures, ML training and inference pipelines, and automation.
• Familiarity with agentic or automated ML patterns, including experimentation and self‑service analytics enablement.
• Strong grasp of security, privacy and governance considerations in AI/ML systems.
• Strong people leader who can balance delivery, technical depth and capability uplift.
• Comfortable operating with ambiguity and scaling platforms in fast‑moving environments.
• Collaborative mindset with the ability to translate between engineering, data science, risk and business stakeholders.

Why join us?

We're obsessed with becoming our customers' #1 banking partner for life and we're looking for people who are passionate about helping us achieve that goal. In return, we're committed to making Westpac the best place to work in the country.

Here are just a few of the ways we're already doing that:

• Special offers on banking products and discounts from top brands, including generous employee-only mortgage rates!
• Flexible work arrangements to help you achieve a greater work/life balance, and a variety of leave options including Culture, Lifestyle and Wellbeing leave.
• Tailored learning and development opportunities to help your grow your career within the bank.
• Lots of opportunities to 'give back' to the Community by getting involved in our many volunteering initiatives.

Create Your Future Today!

To get started, simply click on the APPLY or APPLY NOW button.

We're all about creating a supportive and inclusive community. We welcome everyone – no matter your age, gender, background, or abilities. We also provide additional support to welcome our veterans, Indigenous Australians and neurodiverse community.

If you need any adjustments during the recruitment process, you can find out more information and additional contact details by visiting the "People with Disability and/or needing Accessibility Requirements" page on our website.