Chief Engineer - Agentic Data Ecosystem & Advanced Analytics at Westpac Group

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

19 Jul, 26

Salary

0.0

Posted On

20 Apr, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Advanced analytics, Machine learning, Agentic AI, Technical strategy, Cloud-native architecture, Model governance, Risk management, Data platforms, Real-time data processing, Explainability, Observability, Lifecycle management, Leadership, Stakeholder management, Regulatory compliance, Engineering standards

Industry

Financial Services

Description

* Sydney Based * Hybrid Working Arrangement Opportunity Knocks … The Chief Engineer – Agentic Data Ecosystem & Advanced Analytics is the senior technical authority responsible for defining, governing, and evolving the bank’s advanced analytics, machine learning, and agentic insight capabilities under Westpac Intelligence. The role sets the engineering vision and standards for how analytics models, decision systems, and agentic capabilities are designed, built, deployed, and operated at enterprise scale. This role spans Westpac Intelligence and the agentic data ecosystem, combining hands‑on technical authority with people leadership. The Chief Engineer ensures teams are aligned to a coherent technical direction while enabling rapid innovation without compromising trust, safety, or regulatory integrity. The Data, Digital & AI (DDAI) function defines and executes the division’s data, digital, and AI strategy—partnering with business leaders to unlock value through advanced analytics, responsible AI, and modern digital platforms. The team plays a critical role in enabling smarter decisions, improving customer experience, and maintaining strong risk and regulatory standards. Within DDAI, Westpac Intelligence is the enterprise intelligence layer responsible for scaling analytics, AI, and decisioning capabilities across the organisation. The Chief Engineer - Agentic Data Ecosystem & Advanced Analytics works alongside product, platform, risk, and data leaders to shape the technical capabilities that support both central and federated analytics delivery. In this hands-on and fast-paced role, you will … * Define the engineering vision, standards and principles for the delivery of advanced analytics, machine learning, and agentic insight capabilities. * Own the technical strategy for agentic analytics, including autonomous model orchestration, decision automation, and continuous learning patterns. * Set enterprise standards for model development, deployment, monitoring, explainability, and lifecycle management. * Guide the design of scalable, real‑time analytics and advanced analytics platforms that support customer engagement, risk, and operational use cases. * Partner with MLOps, data platform, and engineering leaders to ensure analytics capabilities are production‑grade, cloud‑native, and reusable. * Embed responsible AI, model risk management, and regulatory controls into analytics platforms and engineering patterns by design. * Act as a senior technical advisor to executives, translating business strategy into durable engineering capabilities. * Coach and mentor engineering managers and senior engineers, uplifting advanced analytics and AI engineering maturity across the organisation. Key Accountabilities … * Technical Authority: Accountable for the technical integrity, coherence, and quality of advanced analytics and agentic insight systems across the enterprise. * Enterprise Standards & Reuse: Establish and enforce engineering standards that drive reuse, interoperability, and consistency across teams. * Innovation with Control: Enable rapid experimentation and deployment of analytics while maintaining strong governance and risk controls. * Platform Alignment: Ensure analytics and agentic capabilities align with enterprise platforms, architectures, and strategic roadmaps. Essential Ingredients for Success … * Extensive experience designing and leading advanced analytics, machine learning, or data platforms at enterprise scale. * Proven track record leading engineering teams in complex or regulated environments, with strong exposure to model governance and risk. * Experience shaping technical strategy across multiple teams or domains, not just delivering individual systems. * Deep understanding of advanced analytics, ML systems, and emerging agentic AI patterns. * Strong grasp of cloud‑native architectures, real‑time data processing for data and advanced analytics. * Expertise in explainability, observability, and lifecycle management for analytics and AI solutions. * You will be a recognised technical leader able to influence and lead both through authority and direct line management. * Strong communication skills, capable of engaging executives, regulators, engineers, and data scientists. * Comfortable operating in ambiguity, balancing long‑term capability building with near‑term delivery outcomes. 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 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 Chief Engineer is responsible for defining the engineering vision, standards, and technical strategy for the bank's advanced analytics, machine learning, and agentic insight capabilities. This role involves leading engineering teams, ensuring production-grade delivery, and embedding responsible AI and regulatory controls across the enterprise.