AI Delivery and Transformation Lead at Preacta Recruitment
victoria, Victoria, Australia -
Full Time


Start Date

Immediate

Expiry Date

15 Jan, 27

Salary

45000.0

Posted On

17 Oct, 26

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Industry

Information Technology & Services

Description
  • Take ownership of the delivery of the organisation's AI roadmap and translate strategic recommendations into actionable initiatives.
  • Work with business stakeholders to identify, shape and prioritise AI use cases based on business value and feasibility.
  • Translate business problems into practical AI solutions and work closely with technical teams to deliver them.
  • Act as the key link between business stakeholders, technology teams and external partners.
  • Provide enough technical oversight to challenge and guide engineering and data teams around AI solutions, LLMs, data, document processing and implementation.
  • Establish appropriate AI guardrails, governance and ways of working.
  • Consider the commercial side of AI initiatives, including ROI, cost, prioritisation and the ongoing management of AI spend.
  • Coordinate multiple AI initiatives from discovery through to implementation and adoption.
  • Help the organisation move from experimentation and strategy into repeatable, scalable AI delivery.
  • Work across areas such as customer service, sales forecasting, quote automation, email triage, supply chain and customer/patient support.


Responsibilities
  • Take ownership of the delivery of the organisation's AI roadmap and translate strategic recommendations into actionable initiatives.
  • Work with business stakeholders to identify, shape and prioritise AI use cases based on business value and feasibility.
  • Translate business problems into practical AI solutions and work closely with technical teams to deliver them.
  • Act as the key link between business stakeholders, technology teams and external partners.
  • Provide enough technical oversight to challenge and guide engineering and data teams around AI solutions, LLMs, data, document processing and implementation.
  • Establish appropriate AI guardrails, governance and ways of working.
  • Consider the commercial side of AI initiatives, including ROI, cost, prioritisation and the ongoing management of AI spend.
  • Coordinate multiple AI initiatives from discovery through to implementation and adoption.
  • Help the organisation move from experimentation and strategy into repeatable, scalable AI delivery.
  • Work across areas such as customer service, sales forecasting, quote automation, email triage, supply chain and customer/patient support.


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