AI Market Intelligence & Enablement Analysts

About the position

Market Intelligence & Technology Scanning:

• Continuously track AI news, model releases, regulations and industry trends relevant to enterprise and heavy-industry use.


• Filter and shortlist tools, platforms and AI solutions (e.g. Google Gemini and comparable offerings) that present real, scalable utility for a global mining enterprise, distinguishing genuine capability from hype.

 



Use-Case Evaluation:

• Assess AI use cases proposed by business units for feasibility, existing internal alternatives, and business value.


• Prepare a documented risk assessment for every use case, covering data privacy, security exposure, and reliability/hallucination risk, for formal sign-off by CIO and Director of AI Solutions. 

 



Thought Leadership & Communication:

• Build presentations and internal articles that translate complex AI developments for executive and corporate stakeholders.


• Maintain a recurring cadence of updates (e.g. a monthly AI trends briefing to leadership).

 



Stakeholder Management:

• Direct reporting to CIO and Director of Enterprise Data and AI Solutions.

 



Advantageous Skills (Good-to-Have):

• Foundational knowledge of cloud computing and the architectural shift toward agentic AI, to ensure research stays oriented toward future-proof, not just current-generation, tools.


• Exposure to mining or another large heavy-industry/large enterprise environment.

Minimum Requirements:

Core Requirements (Must-Have):

• 3+ years' experience in a research, strategy, technology-scouting, or consulting role, with direct exposure to AI/ML tools and platforms. 


• Demonstrated ability to track and synthesise AI industry developments (model releases, vendor landscape, regulatory shifts) into concise, decision-useful summaries.


• Proven experience evaluating technology use cases for business value, feasibility, and risk, ideally with examples of business cases taken to executive stakeholders.


• Strong presentation and written communication skills in English, with a portfolio or work samples demonstrating executive-level communication.


• Working knowledge of AI risk areas: data privacy, security exposure, model hallucination/reliability, and relevant regulatory considerations (e.g. POPIA where applicable).

Desired Skills:

• AI/ML tools
• Knowledge of AI risk areas
• Communicarions skills