AI System Readiness

• Define and lead the strategy to make enterprise systems and data AI-ready
• Establish standards for data accessibility, contextualization, and interoperability
• Conduct readiness assessments across infrastructure, data, and processes
• Partner with IT to prepare cloud environments for AI use cases (embeddings, semantic search, knowledge retrieval)
• Enable strong data governance, metadata management, and compliance frameworks
• Ensure infrastructure, APIs, and integrations support high-performance AI workloads
• Collaborate cross-functionally with AI, Data, BI, and business teams
• Track KPIs and continuously improve AI readiness maturity across the organization

Do you have experience in Python?, * 6-10 years of experience in enterprise IT, data architecture, or technology enablement

• Strong knowledge of data modeling, governance, and cloud platforms (AWS, Azure, or GCP)
• Experience supporting AI use cases (embeddings, knowledge graphs, contextual retrieval)
• Hands-on experience with Python and SQL
• Familiarity with tools like ChatGPT, Microsoft Copilot, Glean, or similar AI platforms
• Solid understanding of APIs, metadata management, and system integrations
• Strong communication and cross-functional collaboration skills
• A clear, executable AI readiness roadmap
• Measurable progress in preparing systems and data for AI integration
• Improved efficiency, scalability, and consistency across enterprise data
• Strong alignment across technology and business teams

2.82.8 out of 5 stars New York, NY 10017 Hybrid work $150,000 - $175,000 a year - Full-time