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Manager Data Science Systems

3 months ago

Wellington, Wellington, New Zealand New Zealand Government Full time
Manager Data Science Systems Reserve Bank of New Zealand

  • Lead and shape our growing data science practice
  • Flexible role in a hybrid work environment
  • Can be Wellington or Auckland based
A unique opportunity to be at the forefront of data innovation at Te Pūtea Matua. The Manager Data Science Systems role is the ideal position for an experienced technical and people leader.

If you're looking for the opportunity to implement innovative thinking and evolve data practices then this might be the role for you.

Te tūranga - The roleThe Manager Data Science Systems is a role model for data, analytics and process excellence.

You will be an advocate for decision making through data-driven business practices and drive collaboration with internal and external stakeholders to uplift RBNZ's data capability.

Our Data Science Systems team leverages data to strengthen analytics capability across the Bank. The team has a future focussed approach in assessing new data needs, providing advice and actioning solutions.

The team reviews statistical processes and will be at the forefront of our granular data collections, developing cutting-edge approaches to working with financial system and sample survey data.

In this role you will be responsible for leading and empowering people, data system delivery, project and change management, and stakeholder management.

As Manager, you will facilitate an environment where innovation thrives and the team is supported to continuously improve data products and services.

To view the position description click here.

Ō pūkenga - About youTo be successful in this role you'll have:

  • A relevant tertiary qualification supported by a minimum of eight years of relevant work experience
  • Proven experience leading a team of data professionals
  • Welldeveloped stakeholder and relationship management skills with the proven ability to build and sustain positive collaboration with a wide range of people (technical and nontechnical)
  • Experience implementing complex data collections using a range of tools and approaches
  • Proven ability to lead project work from an endtoend perspective with a continuous improvement mentality/approach
  • Experience implementing data strategy initiatives and driving a datadriven culture
  • Financial sector and macroeconomic understanding.