About the role

The AI Business Transformation Manager in the Office of AI partners with business leaders to identify and shape high‑value opportunities where AI can drive real outcomes. You’ll translate business challenges into clear, testable requirements and practical solution designs, ensuring success measures, value, and adoption are defined from day one. Working across the full AI lifecycle from problem definition through to scaled deployment you’ll bridge the gap between innovation and execution. This role ensures AI initiatives meet governance standards, are ready for delivery, and are successfully adopted across the business. With a strong focus on engagement, communication, and enablement, you’ll play a critical role in turning AI investment into measurable business value. This role offers a hybrid working setting.

Location: Sydney or Melbourne (preferred); flexible across other cities in Australia.

Key Responsibilities

Strategic Leadership & AI Enablement

- Shape and contribute to the enterprise AI roadmap, driving AI‑powered transformation across business functions
- Establish and lead the AI enablement function, including governance, standards, and lifecycle best practices
- Partner with business leaders to identify and prioritise AI opportunities with clear, measurable outcomes
- Influence AI strategy and architecture, balancing innovation with security, compliance, and scalability
- Champion AI adoption and literacy across the organisation

Solution Design & Delivery

- Translate business needs into clear requirements and solution designs, coordinating the end-to-end delivery of AI solutions aligned with enterprise standards and governance.
- Drive adoption of strategic AI platforms, assistants, and domain-specific AI agents, enabling self-service capabilities and ensuring integration with enterprise platforms and knowledge bases.





- Build and validate AI prototypes using Microsoft 365 Copilot, Copilot Studio, Power Platform, and other LLM-based technologies to rapidly test business value.
- Ensure AI agent solutions, including single-agent and multi-agent architectures, align with business and governance requirements.
- Configure and evaluate AI tools, prompts, integrations, and orchestration frameworks to ensure accuracy, reliability, and enterprise readiness.
- Partner with architects and engineering teams to design solutions leveraging RAG, vector databases, embeddings, semantic search, and enterprise knowledge platforms.
- Drive the adoption and evolution of Microsoft AI capabilities including Teams, SharePoint, Microsoft 365 Copilot and related automation platforms.

Business Engagement & Opportunity Discovery

- Build strong relationships to understand business priorities and challenges
- Facilitate structured ideation and discovery workshops
- Help stakeholders clearly define problems, success measures, and value
- Align expectations between business outcomes and delivered solutions

Adoption, Change & Value Realisation

- Drive adoption of AI solutions into day‑to‑day workflows
- Identify and address barriers to adoption
- Support change management, communication, and engagement activities
- Track adoption, usage, and business perks
- Continuously improve AI solutions based on feedback and outcomes

Collaboration with AI Delivery Teams

- Partner closely with program managers, architects, and delivery teams
- Provide business context to inform prioritisation and solution design




- Maintain strong feedback loops between business users and delivery teams

About you:

Essential:

- 10+ years’ experience in enterprise architecture, business transformation, or AI strategy and delivery
- Strong understanding of AI technologies (ML, NLP, computer vision, generative AI including RAG, AI Agents and Agentic) and business use cases
- Broad enterprise technology knowledge (cloud, data, security, applications, modern workplace)
- Experience with enterprise architecture frameworks (e.g. TOGAF) and IT service management
- Deep awareness of security, compliance, privacy, and responsible AI considerations
- Demonstrated experience supporting and driving adoption of Microsoft 365 Copilot, Copilot Studio, Power Platform, Microsoft Teams and SharePoint-based solutions.
- Hands-on experience building prototypes and proofs of concept using LLM-based tools, including configuring tool use, evaluating output quality, and iterating solutions based on user feedback.
- Strong understanding of Retrieval Augmented Generation (RAG), Vector Databases, Embeddings, Semantic Search, Knowledge Management Platforms and enterprise information retrieval patterns.
- Experience designing and implementing AI Agents and Multi-Agent Architectures using modern agent frameworks and orchestration approaches.
- Experience leveraging Generative AI to generate or modify code, drive Microsoft 365 tools.
- Ability to translate business requirements into technically feasible AI solutions while balancing governance, security, scalability and user adoption.

Qualifications

- Bachelor’s degree in Business, Information Systems, Technology, Engineering, or a related discipline (or equivalent experience).
- Business analysis / product / change qualifications (e.g., Agile BA, Product Owner, Lean/Process improvement) (desirable).

📌 AI Business Transformation Manager (Sydney)
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