Chapter Lead, Data Science (operations)

369

Melbourne, Australia
Not specified; not specified; not specified
Hybrid
Generative ai solution design and deployment
Natural language data experience
Mlops production model lifecycle management
This role involves leading a team of data scientists within the Chief Operations Office to drive AI innovation across the enterprise

Job Summary

  • This role involves leading a team of data scientists within the Chief Operations Office to drive AI innovation across the enterprise.
  • Candidates must demonstrate hands-on expertise in designing Generative AI solutions including RAG and agentic systems while ensuring responsible deployment.
  • The position offers a hybrid work arrangement requiring at least half-time office presence with flexible options available.

Matching Summary

This role involves leading a team of data scientists within the Chief Operations Office to drive AI innovation across the enterprise.

Salary

Not specified; Not specified; Not specified

Skills & Requirements

Must-have

  • Generative AI solution design and deployment
  • Natural language data experience
  • MLOps production model lifecycle management
  • Cloud platform AI solution deployment
  • Hands-on technical leadership capability

Nice-to-have

  • Fostering inclusive team culture
  • Intellectual curiosity for emerging tech
  • Cross-functional squad collaboration
  • Statistical judgement in decision making

Key Requirements

  • Demonstrated capability in driving reusable outcomes
  • Experience with structured and unstructured data
  • Proven ability to lead and mentor teams

Work Rights

Not specified

Tailored Resume

Cover Letter