Data Science Chapter Lead

**Req ID**: 84607
**Department**: AR Personalisation & Digital Sales
**Division**: Australia Retail
**Location**: Melbourne
About Us
At ANZ, we're shaping a world where people and communities thrive, driven by a common goal: to improve the financial wellbeing and sustainability of our millions of customers.
About the Role
The Advanced Analytics Lead is a Chapter Lead managing a team of direct reports growing their capability and proficiency, whilst also managing the work that they deliver in a squad-like setting, and contributing directly to the work as required. The role is approximately 60% Chapter Lead & Contributor, with 40% Product Ownership expectations. This role reflects the importance of SME knowledge and expertise proximity to managing work and delivering outcomes of this data-science focussed team.
This role plays an important part in uplifting the effectiveness and impact of personalised experiences for ANZ customers. In this role you must work closely with personalisation product owners, senior leaders and product tribes to understand their roadmaps and strategies, and identify opportunities to leverage advanced analytics capabilities and deliverables in order to drive higher engagement and impact, growing customer relationships. To be successful it is essential that you know your craft well, understand marketing and personalisation best practices, and can actively influence stakeholders and peers to change their thinking and roadmaps.
**Role Type**: Permanent
**Role Location**: Melbourne
**Work Hours**: Full Time
What will your day look like?
Measure and demonstrate the direct and indirect value that your team and products have enabled or are bringing to ANZ and its customers
Manage the full lifecycle of advanced analytics assets and products, including model lifecycle and risk management, version control, effectiveness monitoring and any necessary actions
Work closely with personalisation product owners, senior leaders and product tribes to understand their roadmaps and strategies, and identify opportunities to leverage advanced analytics capabilities and deliverables in order to drive higher engagement and impact, growing customer relationships
Actively influence stakeholders and peers to change their thinking and roadmaps
Help stakeholders and peers know when and how to use Advanced Analytics products including ad-hoc advanced analysis, predictive models, descriptive models, prescriptive analytics, clustering and segmentation models to improve customer targeting and campaign optimisation
Bring best practice examples and industry and market knowledge to the Personalisation portfolio, and influence peer and stakeholder adoption and thinking
Enable collaboration and knowledge sharing between the product ownership community, tribe members, vendors and external sources
Represent your chapter capability into business stakeholders (who are not data-savvy), articulate where and how chapter capabilities and deliverables can and should be deployed, align and integrate plans with stakeholders and deliver key inputs that enable significant and impactful shared outcomes
What will you bring?
A strong background in data analytics and story telling and a keen ability to build high quality, scalable data products
Extensive applied data science experience across a broad spectrum of work/deliverables in marketing, personalisation or behavioural analytics
Experience with delivering data outcomes at scale and proficiency in at least one high-level programming language (Python, Java, Scala, Spark)
Experience and proficiency in at least one high-volume data processing environment (Teradata, Oracle, Cloudera, BigQuery or equivalent)
Extensive experience with tools and techniques for analysis, data manipulation and presentation (e.g. SQL, Python, R, Tableau, SAS, QlikSense/QlikView)
Extensive experience working within cross-functional, agile or continuous delivery teams
Strong ability to translate data insights into practical business recommendations
Strong practical experience with SQL and ability to interrogate, combine and analyse data across disparate platforms
Ability to explore customer needs in a data-driven way, develop and implement innovative solutions, test the outcomes, and iterate
So why join us? (AU)
From the moment you join ANZ, you'll be doing meaningful work that will shape a world where people and communities thrive.
But it's not just our customers who'll feel your impact. You'll feel it too. Because at ANZ, you'll have the resources, opportunities, and support you need to take the next big step in your career.
We're a diverse bunch at ANZ in different roles, different locations, doing different things. That's why we have a range of flexible working arrangements, so our people can 'make work, work for them'. We also provide a range of benefits including access to health and wellbeing services and discounts on selected products and services from ANZ and more.
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