Sydney Based Location / Hybrid Working
Opportunity knocks …
We are building a stronger AI Science capability across Business Banking & Wealth and are looking for a senior, hands-on Data Science leader who can connect strategy, delivery and measurable value.
This is not a purely advisory leadership role. You will frame the right problems, shape and prioritise an AI portfolio, guide delivery across squads and remain close enough to the work to make sound solution and trade-off decisions. You will also lead, coach and build a growing team of AI professionals.
This role will turn business priorities into safe, measurable AI outcomes, while building the team that will make it happen.
Responsibilities
Own the portfolio AI roadmap, capacity plan, commitments and measurable benefits in partnership with business owners and AI Enablement leads.
Shape problems and decide the solution approach, success evidence and whether work should continue, pivot or stop.
Lead delivery across multiple squads, managing dependencies and escalating material portfolio trade-offs.
Judge technical trade-offs and work closely with the Craft Executive Manager, engineering reviewers, Technology and Operations.
Build, lead and develop a high-performing AI Science team, setting clear expectations for performance, growth and technical leadership.
Embed responsible AI from the outset, including privacy, security, fairness, approved data, least-privilege access, auditability, human oversight and safe fallback.
Own adoption, benefits and live outcomes with business owners, acting on drift, incidents or weak value.
Essential skills & experience
Significant senior-level, hands-on Data Science expertise gained in complex, highly regulated financial services environments.
Deep practical experience taking predictive, generative and agentic AI solutions from problem framing through delivery, deployment, monitoring and lifecycle management.
Strong portfolio strategy, prioritisation and value-realisation capability, with the judgement to balance customer, commercial, delivery and risk outcomes.
Demonstrated people leadership, including building teams, coaching senior practitioners and creating an inclusive environment where different perspectives improve decisions.
Executive-level influence and the ability to partner credibly across Business, Risk, Product, Technology and Operations.
Strong understanding of AI risk, model stability, fairness, governance and human oversight in consequential decision-making.
Business lending and wealth domain experience.
Importantly, you will help shape an important AI portfolio with real visibility, real accountability and the opportunity to build capability for the long term. You will work across business and technology boundaries to improve customer and banker experiences, strengthen control and turn ambitious ideas into measurable outcomes.
Does this sound like you?
To get started, simply click on the APPLY or APPLY NOW button. Please note that application closing dates are subject to change so don’t delay putting your best foot forward!
We’re all about creating a supportive and inclusive community. We welcome everyone – no matter your age, gender, background, or abilities. We also provide added 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.
Summary
Lead and build an AI Science team delivering predictive, generative and agentic AI solutions across Business Banking & Wealth. Own the portfolio roadmap, prioritisation, value realisation and responsible AI, partnering across Business, Risk, Product, Technology and Operations. Requires senior hands-on data science experience in regulated financial services, people leadership and business lending and wealth domain knowledge.
Responsibilities
Own the portfolio AI roadmap, capacity plan, commitments and measurable benefits; shape problems and decide solution approach, success evidence and whether work continues, pivots or stops; lead delivery across multiple squads; judge technical trade-offs; build, lead and develop a high-performing AI Science team; embed responsible AI from the outset; own adoption, benefits and live outcomes with business owners.
Qualifications
Significant senior-level hands-on Data Science expertise in complex regulated financial services; deep practical experience taking predictive, generative and agentic AI solutions from problem framing through delivery, deployment, monitoring and lifecycle management; strong portfolio strategy, prioritisation and value-realisation capability; demonstrated people leadership; executive-level influence; strong understanding of AI risk, model stability, fairness, governance and human oversight; business lending and wealth domain experience.
Experience requirements
Senior-level hands-on Data Science expertise in complex regulated financial services; deep practical experience delivering predictive, generative and agentic AI solutions; demonstrated people leadership; executive-level influence; business lending and wealth domain experience.