Senior Lead, AI Research
Standard
Institutional
Technology (coding)
Technology (non-coding)
Business & Private Banking
About the Role
What will your day look like?
As a Data Science Chapter Lead, you are responsible for leading a team of data scientists and building a world class data science capability. You will have strong people leadership experience and be a highly skilled data practitioner. Importantly, you will be a thought leader who will help influence and drive the evolution of our toolkit and operating model to enable sophisticated data science solutions to be deployed at scale across the division.
What your typical day might look like:
- Address and solve complex business issues using large amounts of data
- Define and measure success through the eyes of the customer and anticipate, understand and respond to evolving customer needs
- Set up and execute strategy to meet customer needs and expectations, now and in the future
- Lead your team through change, transition and uncertainty through developing a strong change agenda, maintaining focus and ensuring open and constructive dialogue around change
- Demonstrate a sophisticated repertoire of influencing techniques and adjust your style to different contexts and audiences
- Work collaboratively with the team to enable them to deliver great results and solve problems whilst at the same time managing various stakeholders across the business
- Ensure the team delivers to commitments while maintaining a healthy work / life balance through a focus on delivering what matters
What will you bring?
To grow and be successful in this role, you will ideally bring the following:
- Experience in advanced analytical modelling (e.g. supervised/unsupervised machine learning), and its use in business contexts
- Experience working with state-of-the-art technology and an in-depth knowledge of machine learning methods to understand and predict customer behaviour
- Strong people leadership skills - able to coach and develop technical team members and drive a positive culture and high performing team
- Deep statistical understanding and affinity for or experience with statistical and mathematical methods of data analysis
- Hands-on knowledge and experience with tools and techniques for analysis, data manipulation and presentation
- Strong ability to translate data insights into practical business recommendations
- Demonstrated ability in working with business stakeholders to understand challenges and requirements, identify opportunities and design appropriate solutions
- Ability to effectively communicate to all stakeholders (technical and non-technical)
You're not expected to have 100% of these skills. At ANZ a growth mindset is at the heart of our culture, so if you have most of these things in your toolbox, we'd love to hear from you.
Job Posting End Date
Not included in the source posting: about the role, qualifications, benefits.
Skills
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