JPMorgan Chase
Applied AI ML Lead, AI Data Readiness
$171K–$260K
New York, NY · Full-time · Posted Jun 25, 2026
- Experience
- 5+ years of applied experience in AI and machine learning; other experience requirements are not quantified.
- Education
- Formal training or certification on applied artificial intelligence and machine learning concepts.
About the job
Defines enterprise data standards, practices, and prototypes that enable reliable conversational analytics and agentic access to data across JPMorgan Chase.
What you'll do
- Create AI data-readiness frameworks and standards for semantic layers, metadata, lineage, and data quality.
- Build and improve conversational analytics prototypes and natural-language-to-database-query systems.
- Track progress with scorecards and maturity models, and communicate business impact through demonstrations and executive updates.
What they ask for
- Formal training or certification in applied AI and machine learning concepts.
- Experience with agentic querying, semantic and context layers, and query agents.
- Expertise in metadata management and data catalogs, plus hands-on experience with conversational analytics and natural-language querying.
- Ability to prototype across data and application stacks and collaborate across product, engineering, and business teams.
Nice to have
- Experience in financial services or other large-scale enterprise environments.
- Full-stack engineering experience or experience building or governing enterprise semantic models and metrics layers.
Pay
$171,000.00-$260,000.00 USD base salary
Tools
Databricks Genie, Snowflake Cortex Analyst
AI focus
Enable AI-ready data foundations for conversational analytics and agentic data access; improve query agents, natural-language querying, and AI interface patterns for copilots and agents.
Model-written summary · the original posting is authoritative