Position: Head of AI and Data

Reports To: CEO, Matrix Reporting: Head of IT

Function: IT

Location: Melbourne

Job Classification: Senior Manager

Critical Infrastructure role: No

Purpose

Ensure secure and governed use of Artificial Intelligence (AI) and enterprise data as a first principle across the organisation. Lead implementation of AI and Pacific Hydro enterprise knowledge systems to enhance operational efficiency, reduce low-value repetitive work, strengthen internal controls and compliance, and drive the company's transition towards an AI-enabled operating model.

Key Responsibilities:

AI Security & Governance

Establish and maintain an AI governance framework, covering cyber security, data privacy, acceptable use, model risk, and usage policies
Ensure the AI governance framework is communicated across the organisation, including training required
Define and ensure compliance with policies on the use of external AI tools
Ensure protection of sensitive business data in AI applications
Identify, monitor and manage risks related to AI outputs (e.g. inaccuracy, bias, misuse)

Corporate Knowledge & Data Foundation

Establish and maintain a structured enterprise knowledge system to support AI applications
Develop and manage knowledge maps across key domains (e.g. contracts, operations, finance, projects)
Reduce manual effort in information gathering, structuring, drafting, processing and reporting
Define ownership, governance, and lifecycle management of critical data and knowledge assets

AI-enabled Process Re-engineering& Compliance

Identify business processes with high optimisation potential to leverage and benefit from AI
Redesign workflows by utilising AI where appropriate, focusing on simplification. Elimination of non-value-adding steps and reduction of low-value manual work.
Embed control, assurance, and compliance requirements into redesigned processes, including automated monitoring, anomaly detection, and policy enforcement
Ensure appropriate change management is implemented, including training where required
Drive adoption and ensure sustainability of redesigned processes

AI Use Case Identification & Delivery

Identify high-impact business scenarios where AI can improve efficiency, reduce repetitive manual work, and strengthen control (e.g. legal, contract management, report generation, procurement, and administrative processes)
Work with business units to refine use cases, align priorities, and define clear outcomes
Drive implementation of selected initiatives and ensure delivery of practical, measurable results

Technology Collaboration & Value Realisation

Translate business needs into AI and technical requirements, ensuring alignment with business priorities
Work closely with IT and external vendors to deliver scalable and secure AI solutions.
Ensure AI initiatives deliver measurable business outcomes (e.g. efficiency improvement, cost reduction, risk mitigation)
Track, evaluate, and report the impact of AI initiatives to Senior Management
Support the evolution of IT capabilities towards AI-enabled operations in alignment with business needs

Essential Criteria:

AI & Data Expertise

Solid understanding of AI technologies and their practical business applications
Strong knowledge of data governance, data security, and model risk management
Ability to translate business needs into AI/data/technology solutions

Execution & Delivery

Ability to drive execution and ensure delivery of measurable outcomes
Strong outcome orientation, with focus on business impact rather than technical output
High level of ownership and accountability

Stakeholder & Influence

Strong stakeholder management skills, with the ability to align business and IT priorities

Judgement & Mindset

Willingness to challenge existing processes and drive change
Strong judgement in managing trade-offs between efficiency, risk, and control
Balanced mindset on AI: able to leverage AI as a practical tool while maintaining appropriate human oversight

Knowledge, experience (including qualification) and skill

Knowledge and experience:

Professional qualifications in Computer Science and Information Security

Experience and Skills

15+ years of experience in data, digital transformation, or related fields
3+ years of experience in AI related fields
Demonstrated track record of leading cross-functional transformation projects
Experience leading with IT teams and external vendors to deliver technology solutions
Experience in process optimisation, internal control, risk, or compliance-related initiatives

AI Governance Jobs in Docklands

Head of AI and Data