
AI Adoption Strategist
4 days ago
This role bridges the gap between business units and artificial intelligence functions, ensuring data and AI opportunities are identified, shaped, and delivered to maximise business value.
You will lead AI adoption by embedding data and AI thinking into decision-making processes, translating technical concepts into business terms, and promoting responsible AI use.
Key Responsibilities:- Establish relationships with business leaders to understand priorities, challenges, and operational needs.
- Identify and shape high-value data and AI use cases into defined problem statements and value cases.
- E nsure data and AI initiatives align with organisational strategy, governance frameworks, and ethical standards.
- Represent business interests during solution design, testing, and deployment.
- Support delivery teams to ensure solutions meet agreed business outcomes and operational requirements.
- Monitor performance of deployed solutions, tracking benefit realisation and ROI.
- Identify and mitigate risks related to bias, data privacy, and unintended consequences.
- Bachelor's or master's degree in computer science, data science, engineering, or a related field.
- Certifications in cloud platforms (Azure, AWS), Databricks, or AI/ML technologies are desirable but not essential.
- Proven experience in the mining and/or supply chain industry, with knowledge of mining processes, operations, and systems.
- Experience engaging across multiple business levels, influencing decision-making, and building consensus.
- Strong facilitation skills, with experience leading workshops, strategy sessions, and stakeholder engagement forums.
- Ability to identify, scope, and prioritise business improvement opportunities and translate them into actionable initiatives.
- Hands-on experience in project management, change management, adoption programs, and capability uplift in complex organisations.
- Skills in translating technical concepts into business value for non-technical audiences.
- A curious mind to ask questions, probe, and professionally challenge the status quo.
- Background in AI, analytics, or digital transformation programs, with a solid understanding of industry trends and best practices.
- Familiarity with responsible AI principles, governance frameworks, and risk management in technology adoption.
In this dynamic role, you will have the opportunity to make a significant impact on the organisation's success. By leveraging your expertise in AI and data, you will drive business value and contribute to the growth and development of the company.
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