Summary
The AI-Native Data Associate plays a pivotal role in driving our organization’s transformation into an AI-native enterprise. You will be responsible for designing, implementing, and optimizing our AI-driven data infrastructure—integrating advanced models like Claude, OpenAI, MCPs, and autonomous agents into daily workflows. Your work will not only streamline internal analytics and reporting but also serve as the foundation for scalable knowledge transfer. By turning complex AI systems into reusable, intuitive templates and training materials, you empower both internal teams and external clients to harness the power of AI in data analysis, decision-making, and performance monitoring. This role is ideal for a curious, systems-oriented builder who thrives at the intersection of data, automation, and education.
Responsibilities
- Design and manage the company’s AI stack, including setup and maintenance of OpenClaw, Nanoclaw, Hermes (NousResearch), and related tools.
- Integrate AI systems with existing data sources and operational workflows to enable real-time analytics and automation.
- Develop and train autonomous agents to perform recurring analytics tasks, including report generation, dashboard creation, project monitoring, and portfolio tracking.
- Build reusable templates, prompts, workflows, and artifacts that allow non-technical team members to conduct advanced AI-powered analyses independently.
- Create comprehensive documentation, including internal guides, SOPs, and architecture diagrams, to ensure clarity and sustainability.
- Translate internal AI learnings into external educational content: publish weekly blog posts or videos on AI applications in business analytics, reporting, dashboards, and M&E.
- Serve as the in-house AI trainer, designing and delivering client workshops on using Claude, OpenAI, MCPs, and autonomous agents in data workflows.
- Continuously explore and adopt emerging AI capabilities (e.g., Claude University content, new MCPs) and operationalize them into practical, high-impact use cases.