Applied AI ML Lead, AI Data Readiness

What you'll do

• Define and implement an enterprise AI data readiness framework for reliable agentic data consumption.
• Establish standards for semantic and context layers to improve data consistency and interpretability.
• Design metadata, lineage, and data quality practices to improve discoverability for AI-driven analysis.
• Build and iterate proof-of-concept and production-ready prototypes for conversational analytics use cases.
• Improve performance of natural-language-to-database-query systems by analyzing failures and driving remediation.
• Define scalable AI interface patterns for copilots, agents, and analytics tools.
• Create scorecards and maturity models to track progress and drive accountability for AI-readiness.
• Deliver regular demonstrations and executive updates connecting technical improvements to business impact.

What we're looking for

• Formal training or certification in applied artificial intelligence and machine learning concepts.
• 5+ years of applied experience in artificial intelligence and machine learning.
• Experience designing or operating agentic querying approaches, including semantic and context layers.
• Proven expertise in metadata management and data catalog ecosystems to improve discoverability and interpretability.
• Hands-on experience with conversational analytics and natural-language querying systems.
• Experience working with enterprise data platforms and data products with stakeholder-driven prioritization.
• Strong executive communication and storytelling skills to deliver clear updates and influence roadmaps.
• Experience in financial services or other large-scale enterprise environments (preferred).