Experimentation Lead - Data Science

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.

About the Role

At ANZ Plus we are creating simpler, better banking experience with a goal of improving customer financial outcomes and their engagement with ANZ Plus. 

As Experimentation Lead for ANZ, you will

• Define the organisational strategy around building out our experimentation capability that is best in class.
• Collaborate with key technical partners (Engineering, Architecture, Platform, Data) to align on best approach for scaling an experimentation system/platform using PEGA, Launch Darkly and Adobe
• Provide thought leadership and expert guidance on best practices around experimentation.
• Foster an organisational culture that understands and values experimentation, and where it is the baked into the way we work.

One of your primary objectives will be to build out an experimentation platform or system that optimises for:

• Completeness: We can run experiments via all appropriate channels (ie mobile, IB, web).
• Scalability: We can run 100s/1000s of concurrent experiments without issues.
• Ease (vs Effort): The processes for running experiments and analysing results are largely automated and require minimal manual effort.
• Simplicity (vs Complexity): The processes are built with the end-users in mind, minimising prerequisite technical knowledge needed.

What will your day look like?

• Actively contribute to the ANZ Plus experimentation roadmap and strategy
• Building strong cross-functional relationships across ANZ, including the different ANZ Plus Value Streams, other customer communication teams in the rest of the enterprise, and stakeholders. 
• Take the lead on finding new ways to innovate keeping up with industry best practice techniques and new tools in market

What will you bring?

• Experience in experimentation, causal inference methods, technologies and processes to scale experimentation in a large organisation
• Experience in Pega, LaunchDarkly, Adobe, Qualtrics, Python. There is an expectation that you will have a strong understanding of the underlying technologies that make up the experimentation domain.
• Working with a complex mix of stakeholders in an environment with a high rate of change and pace
• Exceptional stakeholder engagement, influencing and play a leadership role by delivering through others outside of your immediate teams. 

So why join us? (AU)

From the moment you join ANZ, you'll be doing meaningful work that will shape a world where people and communities thrive.

But it's not just our customers who'll feel your impact. You'll feel it too. Because at ANZ, you'll have the resources, opportunities, and support you need to take the next big step in your career.

We're a diverse bunch at ANZ in different roles, different locations, doing different things. That's why we have a range of flexible working arrangements, so our people can 'make work, work for them'. We also provide a range of benefits including access to health and wellbeing services and discounts on selected products and services from ANZ and more.

At ANZ, you'll be part of an organisation where the different backgrounds, perspectives and life experiences of our people are celebrated. That's because we're committed to building a workplace that reflects the diversity of the communities we serve. We welcome applications from everyone and encourage you to talk to us about any adjustments you may require to our recruitment process or the role itself. If you're a candidate with a disability or access requirement, and have an enquiry about the support provided, please let us know on your application or visit ANZ Accessibility and Inclusion Programs for alternate contact methods.

To find out more about working at ANZ, visit https://www.anz.com.au/careers. You can apply for this role by visiting ANZ Careers and searching for reference number 80868 .