Executive Lead, Data & Intelligence for Financial Crime

Westpac Group; Sydney; Hybrid; AUD 180,000 - 240,000; Full time

Benefits offered by this job

Hybrid working

Executive leadership role

Job summary

Westpac Group is seeking an Executive Manager for Data & Intelligence in a hybrid Sydney/Melbourne role. You will lead Data Scientists, Analysts and AI practitioners, translating fraud and financial crime priorities into data-driven intelligence and AI-enabled outcomes while collaborating with risk, operations and technology teams.

You will shape strategic data and analytics initiatives, champion governance and responsible AI, and build a high-performing, inclusive team culture across a major

Qualifications

• Leadership in enterprise Data/AI initiatives.
• Strong stakeholder management across business, risk and technology.
• Experience leading Data Science, Analytics, Data Engineering or AI teams.
• Proven ability to influence outcomes in large organisations.

Responsibilities

• Represent Data & AI in strategic delivery programs within Fraud Risk and Financial Crime.
• Translate priorities into intelligence-led use cases and data-driven solutions.
• Lead multidisciplinary Data & AI teams delivering analytical products and AI-enabled outcomes.
• Drive adoption of analytics capabilities to enable faster, smarter decision-making.
• Partner with business, risk and technology stakeholders to solve complex challenges.
• Develop reusable Data, Analytics and AI assets creating organisational value.

Skills

Data leadership

Stakeholder management

Data Science

Analytics

AI/ML

Financial crime domain

Team leadership

Job description

Westpac Group is seeking an Executive Manager for Data & Intelligence in a hybrid Sydney/Melbourne role. You will lead Data Scientists, Analysts and AI practitioners, translating fraud and financial crime priorities into data-driven intelligence and AI-enabled outcomes while collaborating with risk, operations and technology teams.

You will shape strategic data and analytics initiatives, champion governance and responsible AI, and build a high-performing, inclusive team culture across a major