VP, AI Data Products - Shape Enterprise Data Strategy

JPMorgan Chase & Co.; New York (NY); On-site; USD 150,000 - 200,000; Full time

Job summary

JPMorgan Chase & Co. seeks a Vice President – AI Data Products to drive the execution of their data product strategy. You will work within the Chief Data & Analytics Office to implement a data product approach that maximizes data value and ensures quality. Responsibilities include collaborating with business units, leading metrics development, and synthesizing insights for stakeholders.

The ideal candidate will have over 5 years of experience in data management and a strong background in AI and machine learning, with exceptional problem-solving and communication skills. Join a diverse team focused on data-driven decisions.

Qualifications

• 5+ years of relevant experience in data management, data engineering, AI, and ML.
• 3+ years in roles like product manager, data analyst, or engineer.
• Ability to solve complex problems and articulate data-driven narratives.

Responsibilities

• Execute and refine the approach for data product development at JPMC.
• Gather feedback to refine the data product guidance.
• Collaborate to determine high-priority data products.

Skills

Data management

Data engineering

Artificial intelligence

Machine learning

Problem-solving

Communication

Presentation skills

Attention to detail

Tools

Databricks

Snowflake

Starburst

Job description

JPMorgan Chase & Co. seeks a Vice President – AI Data Products to drive the execution of their data product strategy. You will work within the Chief Data & Analytics Office to implement a data product approach that maximizes data value and ensures quality. Responsibilities include collaborating with business units, leading metrics development, and synthesizing insights for stakeholders.

The ideal candidate will have over 5 years of experience in data management and a strong background in AI and machine learning, with exceptional problem-solving and communication skills. Join a diverse team focused on data-driven decisions.