- Design, develop, and deploy a secure, multi-tenant intelligence architecture from scratch.
- Own foundational data pipelines through final LLM integrations.
- Review design documentation, identify technical blind spots, and shape the long-term technology roadmap.
- Connect client CRMs, ad platform APIs, web analytics, and manual spreadsheets.
- Transform unstructured information into clean, usable data models.
- Normalize inputs before applying advanced AI workflows.
- Build production-ready workflows using Anthropic Claude within Microsoft 365 and Asana.
- Develop processes requiring human approval for AI-generated outputs before they reach clients.
- Engineer strict access controls, maintain read-only system access, and minimize personally identifiable information.
- Ensure data governance, auditability, and traceability.
Data engineering