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Data Science Chapter Lead
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Vero InsuranceAuckland, New ZealandWhat you’ll do :
- Define the standards, processes and best practices for your Data Science Chapter and contribute to the goals of the broader Practice.
- Oversee efficient allocation of Chapter members to Tribes and Platforms in line with current and forecasted needs
- Responsible for performance management including overseeing, providing feedback, and developing team members to help improve domain and capability knowledge and better serve the Squads in which they work
- Maintain best-in-class data science expertise and resources in order to deliver the right knowledge and skills to Tribes and Platforms
- Actively collaborate across the Practices and Chapter to support the achievement of objectives.
- Leadership, development, and retention of Chapter members including career pathway development.
What you’ll bring :
What we also offer
About Us :
We’re proud to be a part of the Suncorp Group family alongside some of Australia and New Zealand’s most trusted names in insurance – working together to bring about faster, simpler and better outcomes for our customers and corporate partners. Our commitment to strong, supportive partnerships extends to our people as well, and the opportunities and support we provide to help you thrive in your career with us. And with a shared customer-obsession and the digital capabilities to make a genuine difference, you’ll see the meaningful impact you can make for our customers and communities, while watching your own career shine too.
Chasing the sun means pursuing your passions, fulfilling your potential and getting that much closer to the future that’s just beyond the horizon. If that’s a future you want to see, then your time in the sun starts here – with a Suncorp career. Apply now!
Advertised : 19 Jul 2024 New Zealand Standard Time
Applications close : 02 Aug 2024 New Zealand Standard Time
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Be accountable for building a world class capability within our Data Science team.
Be accountable for building a world class capability within our Data Science team.