Technology Data Lead

2 weeks ago

Sydney, New South Wales, Australia Westpac Group Full time

How will I help?


The Technology Data Lead position will serve as a crucial role for insights regarding the definition, transformation, utilisation, and reporting of data within the Credit Risk domain.

The individual occupying this role will act as a Data Subject Matter Expert (SME), possessing a deep comprehension of data architectures and the ability to effectively relay this information to other teams, fostering a data-oriented approach.

The execution of these responsibilities can be approached from various methodologies, such as Waterfall or Agile, or through business process management, all through the lens of technological implementation.


They are responsible for:

  • Collaborating with stakeholders to gather, examine, share, and confirm the data needs across projects within Credit Risk
  • Standardising the discovery of data elements for projects and how they are documented to avoid duplication across projects. Hence improving how data is understood across projects and teams within Credit Risk
  • Extracting data from various Credit Risk data repositories
  • Analysing data outcomes to determine and report on the quality of the data and communicate to stakeholders the results in a meaningful way
  • Developing a detailed understanding of endtoend dataflows
  • Managing their work across multiple streams of work and projects, interpreting and understanding the impact data elements have on each phase
  • Being able to understand and clearly articulate the role data elements play from origination through to delivery
  • Working with the entire Credit Risk Technology team to develop appropriate requirements and interpret into end to end design and development

What's in it for you?


You'll play an important and significant part in the future of a business that has been around for 200 years and be instrumental in achieving our purpose of helping Australians succeed.

So, we'll back you in the development of your career, with internal career prospects and flexible working. You'll also be backed by a fantastic team of people in a can-do, supportive structure.

What do I need?
To be set up for success in this role, you will be able to demonstrate:

  • Extensive hands-on experience in data analyst tasks such as data cleaning, data wrangling, analysis, visualisation and communication of insights

For example:

  • Data Analyst in identifying and clarifying the business need/opportunity/problem into technology solutions for process reengineering or business transformation initiatives.
  • Facilitation of workshops involving participants from senior management to business users
  • Strong experience of using SQL for data extract and profiling, lineage mapping and gapping analysis
  • Proven experience with designing and implementing methodologies
  • Must come from a financial services/banking background
  • Tertiary qualifications or equivalent experience
  • Experience working in an Agile project delivery environment and with the tools that support this
  • Self starting/motivated approach to problem solving, who can think outside the box and is solution orientated

Preferred skills:

  • Proficient in one computer language using either Python, R or SAS for data gathering data cleaning, statistical analysis and data visualisation
  • Experience working in the credit risk domain

What's it like to work there?
We aim to provide one big, supportive team to help us achieve our purpose of creating better futures together.

As an equal opportunity employer, we're proud to have created a culture and work environment that values diversity and flexibility - and champions inclusion.


How do I apply?
Start here. Select the APPLY or APPLY NOW button.

Do you need reasonable adjustments during the recruitment process?

LI-Hybrid

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