Analyst, Data Governance at Westpac Group

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

11 Oct, 26

Salary

0.0

Posted On

13 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Governance, Data Management Framework, AI Risk Management, Data Risk Management, Metadata Management, Data Lineage, Data Quality Control, Stakeholder Management, Compliance, Operationalization

Industry

Financial Services

Description

What’s the role? The Data Governance Analyst plays a support role in strengthening BT’s data foundations, embedding data management practices across delivery workflows, and ensuring we maintain trust in our data. This role helps operationalise data governance, uplift data capability across the organisation, and ensure BT complies with both the AI Risk Management Standard and the Data Risk Management Policy. The position works closely with Data & Analytics, IT, Projects, AI teams, and business stakeholders to establish a consistent, scalable approach to managing and governing data across core systems. BT is the wealth management brand of Westpac Group. This role sits within Service and Operations as a member of the S&O Leadership Team, partnering with Product, Technology, Risk, BCM, Finance, PMO and outsourced providers to ensure robust, compliant and scalable operations What do I need? * Support the definition, refinement, and ongoing enhancement of BT’s data management framework. * Collaborate with Divisional and Group teams on data management framework and best practice * Translate framework elements into practical processes that can be embedded across Projects, IT, Analytics, and AI workflows. * Work with project teams to integrate data governance checkpoints, quality controls, metadata requirements, and lineage considerations into delivery practices. * Partner with IT and analytics teams to ensure data management principles are applied during system changes, data migrations, AI model development, and platform uplift activities. * Support the operationalisation and monitoring of: * AI Risk Management Standard, including risk assessment activities for AI-enabled solutions. * Data Risk Management Policy, helping teams understand obligations related to quality, privacy, access, and security. Our Promise to You? 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 [https://www.westpac.com.au/about-westpac/inclusion-and-diversity/Inclusion-means-everyone-matters/disability-and-accessibility/].

Responsibilities

The role focuses on strengthening data foundations by operationalizing data governance and embedding management practices across delivery workflows. It involves ensuring compliance with AI and Data Risk Management policies while partnering with IT and AI teams.