
Principal Consultant Data & AI Strategy
- Sydney, NSW
- Permanent
- Full-time
- Reward – Clearly linking AI-enabled opportunities to corporate objectives and strategic imperatives.
- Real – Defining what is truly required (beyond just technology) to realise that value, including people, processes, culture, and investment.
- Reliable – Establishing how to execute responsibly, with safeguards for ethical, secure, and scalable deployment.
- Business Value Focus: Track record of defining how Data & AI initiatives create measurable business value—such as revenue growth, operational efficiency, and risk mitigation—aligned to enterprise objectives.
- Strategic Roadmapping: Extensive experience in leading the development of phased Data & AI strategy roadmaps that drive transformation across medium and large-scale enterprises.
- Use Case Definition: Mastery in identifying, assessing, and prioritising high-value, feasible, and scalable data use cases that unlock competitive advantage.
- Executive Facilitation: Highly skilled in designing and leading strategic workshops with senior stakeholders to shape vision, prioritise outcomes, and ensure alignment across business and technology domains.
- Influencing & Communication: Executive-level communication capabilities, with the ability to distil complex concepts into compelling narratives that influence decisions at C-suite.
- Thought Leadership & Practice Building: Contributes to the refinement of delivery frameworks, mentors consultants, and elevates the broader consulting community through coaching and knowledge sharing.
- Capability Assessment: Deep knowledge of the end-to-end data and AI capability landscape—across strategy, governance, architecture, culture, and literacy—with experience in maturity assessments and capability uplift planning.
- Data Governance Leadership: Proven ability to design and embed practical governance frameworks that balance control with agility, including roles, policies, and ethical oversight.
- Technology & Trend Awareness: Strong conceptual grasp of emerging data and AI trends (e.g. Generative AI, AI Governance, Data Products), with the ability to credibly engage across business, architecture, and engineering teams.
- Outcome-Oriented: Maintains a clear focus on delivering impact, with a bias toward actionable recommendations and sustainable transformation.
- Collaborative & Adaptive: Operates effectively in dynamic, cross-functional environments and adapts style to different stakeholder contexts.
- Analytical & Creative: Able to deconstruct ambiguous challenges and develop structured, innovative solutions that balance strategic ambition with practical execution