Lead delivery of the CSDA (Customer Service Data & Analytics) portfolio across Customer Services—owning the roadmap, prioritisation and delivery rhythm from intake to release and drive measurable outcomes that improve customer and colleague experiences.

• You’ll join a high-performing business, backing talented individuals.
• Make a genuine difference through the work you do.
• Drive world class, simple and intuitive experiences for customers.
  
  

Our people are customer obsessed. They prioritise the needs and satisfaction of the customer above all else. Our mindset fosters innovation and creates strong, lasting customer relationships as we strive to be the most customer centric company in Australia and New Zealand.

In this Senior Consultant, CSDA Portfolio Lead, you will join our Data and Analytics team doubling down by owning it and winning together.

Each day, you’ll go above and beyond to support with:

• Lead and develop a portfolio of work, including the day-to-day activities of team members (data & analytic professionals within the portfolio) to design and develop actionable insights (analytic, data science, data management and/or reporting) that make a positive and demonstrable impact to the Customer and Colleague Analytics strategy and performance.
• Partner with business leaders to ensure alignment between analytics outputs and overall business objectives
• Oversee the integrity and quality of data used in analytics, ensuring compliance with regulatory requirements and internal risk frameworks.
• Collaborate with the engineering, reporting and wider teams to help realise analytic assets.
• Assist in strategy and lead planning to set priorities for work in the portfolio. The application of agile methodologies and related tools.
• Follow enterprise and industry best practice for model development, monitoring and management lifecycles.
• Contribute towards the Customer Services strategy at NAB that is; customer-centric; efficient, timely; transparent; and comprehensive.
  
  

We’re looking for the best and brightest to deliver the best for our customers. You’ll need:

• Practical understanding of the way in which Business Lending / Business Banking customers are managed at a bank and how this manifest as data.
• Knowledge of Banking regulatory and compliance requirements (e.g. APRA, ASIC, AUSTRAC) is preferred
• Professional experience in the Predictive Analytics or Data Science domains.
• Experience with review and challenge in an analytical setting.
• Substantial experience (direct involvement preferred) in the governance and management of predictive models (Model Risk Management).
• Exposure and use of coding in a database setting (SQL), analytic or scripting (e.g. SAS, Python), and/or a reporting environment (e.g. PowerBI). An appreciation for which tools work in which settings is important.
• Financial industry experience (in Banking, Insurance, Superannuation, or similar) is required in addition to good grasp of the regulatory and industry landscapes. This includes evolving privacy and ethics principles.
  
  

A diverse and inclusive workplace works better for everyone

We know that our people make us who we are. That's why we have built a culture of equity and respect – where everyone feels valued and appreciated for being their authentic selves. In partnership with our multiple Employee Resource Groups (ERGs) we continue to foster an inclusive environment, where all NAB colleagues’ unique backgrounds and identities are understood, respected and celebrated. We are committed to providing an environment where you can work your way.

For details on the recruitment process, and accessibility, please visit www.nab.com.au/about-us/careers/apply-for-job. To discuss adjustment requirements, please contact the NAB Careers team, via nab.careers@nab.com.au (please reference job number) or visit our Careers page through the link above for other contact options.

Join NAB

If you think this role is the right fit for you, we would love to hear from you. Please note candidate screening and interviews may be conducted prior to the closing date of the job advert. Unsolicited CVs from agencies will not be accepted.