Chief Analytics Innovation Officer

1 week ago

Brisbane, Queensland, Australia beBeeData Full time $150,000 - $180,000
Analytics Modernisation LeadAt our organisation, we're driving innovation and pushing the boundaries of analytics. This role will play a crucial part in spearheading processes that deliver exceptional experiences for internal and external customers.
Key Responsibilities:
  • Oversee the innovation lifecycle: from exploration and hypothesis building to experimentation and showcasing, aligned with organisational priorities.
  • Establish innovation management guidelines, controls, and checkpoints encompassing tools and methodologies.
  • Lead prototype development and orchestrate proof of concepts for insights validation.
  • Formulate architectural patterns derived from the innovation process.
  • Leverage Cloud platforms for seamless innovation facilitation.
  • Conduct workshops to gather insights for innovation from stakeholders.
  • Stay updated on industry trends for spotting innovation opportunities.
  • Collaborate with platform teams to industrialise architecture patterns and emerging technologies.
  • Work cross-functionally with diverse business stakeholders.
  • Manage the enhancement and industrialisation of advanced analytics infrastructure.
  • Facilitate the evolution of cloud-based analytics capabilities.
  • Collaborate with stakeholders to identify segments of the analytics workflow for modernisation.
  • Streamline machine learning model deployment with platforms.
  • Integrate complex machine learning models into pertinent production systems.
  • Propose and validate AI-supported real-world business solutions through hypothesis and experimentation.
About You
  1. You must have a formal qualification in Computer Science, Software Engineering, or a related field.
  2. You must satisfy ASIC's definition of 'Fit and Proper Person' compliance obligations.
  3. You must have proven experience in data analytics or a data science leadership role (10+ years is a general indicator).
  4. You must demonstrate a strong understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and related services.
  5. You must have proven experience in coding in Python and experience with PySpark.
  6. You must have proven experience building data pipelines across hybrid networks.
  7. You must have proven experience working with data science Cloud environments.
  8. You must have proven experience leading an innovation capability or innovation team focused on bringing emerging technologies into an organisation.
  9. You must have in-depth knowledge of Machine Learning and Artificial Intelligence.
  10. You must have experience in leading and managing cross-functional teams and providing technical leadership.

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