AI Product Manager - Streaming Data - Vice President

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey.

This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making.

The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly

As an AI Product Manager Vice President within the Streaming Data team, you will have the unique opportunity to be a critical player in our firm-wide efforts in coordinating and building products that creates a seamless experience for Engineers, Data Analysts, Data Engineers, and Data Scientists at the firm.

You should have deep expertise and passion in enabling data and analytics capabilities, specifically streaming data architectures such as Kafka, Kinesis, Flink, etc.

Job Responsibilities


* Define a strategic vision and roadmap for enabling streaming data capabilities, including milestones, deliverables, resources, and timelines


* Work with stakeholders across the various businesses (Investment Bank, Consumer Bank, etc.) and functional groups (Legal, Technology, Controls) to collect business requirements, create PRDs, and ship high quality products that solve business needs


* Execute the vision and design of the CDAO platforms in a multi-cloud landscape


* Collaborate with adjacent teams to ensure a seamless fusion between Data and AI/ML capabilities, while enabling automated controls, and policy compliance tooling

Required qualifications, capabilities and skills


* 6+ years of experience in product management with proven ability to lead and develop high performing product teams


* Expertise on data modeling, warehousing and data movement capabilities


* Experience with streaming data architectures (e.g., Kafka, Kinesis, Flink)


* Expertise on AWS services such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, etc.


* Excellent leadership and collaboration skills, with the ability to positively influence and inspire technology teams and stakeholders


* Able to balance short-term goals and long-term vision in highly complex environments


* Familiarity with Data lifecycle and Data Governance concepts


* Familiarity on how streaming data can be used by data scientists for Training & Experimentation purposes


* Expertise in Cloud computing and architecture

Preferred qualifications, capabilities, and skills


* Experience in Financial Services or other highly regulated industries


* Experience with Data frameworks and libraries

JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most pro...