AI Data Readiness Lead for Conversational Analytics

JPMorgan Chase & Co.; City of Rochester (NY); Sur place; USD 150 000 - 195 000; Plein temps

Résumé du poste

JPMorganChase is seeking an Applied AI/ML Lead to define data readiness standards for conversational analytics and agentic data access across the Corporate & Investment Bank Data Strategy. You will set semantic/context patterns, improve metadata quality, and guide teams toward measurable AI-readiness with frequent prototypes and executive updates.

The role emphasizes prototype delivery, collaboration with data product owners and engineering, and translating gaps into clear roadmaps within a

Qualifications

• Formal training or certification on applied artificial intelligence and machine learning concepts and 5+ years applied experience
• Experience designing or operating agentic querying approaches, including semantic and context layers and query agents (for example, Databricks Genie, Snowflake Cortex Analyst, or similar)
• Proven expertise in metadata management and data catalog ecosystems, including improving discoverability and interpretability
• Hands-on experience with conversational analytics and natural-language querying systems, including an understanding of common failure modes
• Ability to prototype and build solutions across the data and application stack to accelerate learning and delivery
• Experience working with enterprise data platforms and data products, including stakeholder-driven prioritization
• Strong analytical problem-solving skills, with the ability to diagnose root causes and drive durable remediation
• Demonstrated success partnering across product, engineering, and business teams in complex, regulated environments
• Strong executive communication and storytelling skills, including delivering clear updates and influencing roadmaps
• Ability to operate effectively in a fast-paced, iterative delivery model with measurable outcomes

Responsabilités

• Define and implement an enterprise AI data readiness framework that enables reliable agentic consumption of data products
• Establish standards for semantic and context layers to improve consistency, interpretability, and reuse across analytics experiences
• Design and deliver metadata, lineage, and data quality practices that improve discoverability and reduce ambiguity in AI-driven analysis
• Build and iterate proof-of-concept and production-ready prototypes for conversational analytics use cases
• Improve performance and reliability of natural-language-to-database-query systems by analyzing failures and driving targeted remediation
• Identify semantic and contextual gaps that prevent accurate AI-driven data access, and partner with owners to close them
• Partner with data product leaders and engineers to prioritize and execute quality and usability improvements across critical datasets
• Define scalable AI interface patterns for copilots, agents, and analytics tools to ensure consistent user outcomes
• Create scorecards, key performance indicators, and maturity models that track progress and drive accountability
• Deliver regular demonstrations and executive updates that connect technical improvements to business impact

Connaissances

Applied AI/ML

Agentic querying

Metadata management

Conversational analytics

Natural-language querying

Prototype development

Enterprise data platforms

Stakeholder prioritization

Executive communication

Fast-paced delivery

Outils

Databricks Genie

Snowflake Cortex Analyst

Description du poste

JPMorganChase is seeking an Applied AI/ML Lead to define data readiness standards for conversational analytics and agentic data access across the Corporate & Investment Bank Data Strategy. You will set semantic/context patterns, improve metadata quality, and guide teams toward measurable AI-readiness with frequent prototypes and executive updates.

The role emphasizes prototype delivery, collaboration with data product owners and engineering, and translating gaps into clear roadmaps within a