Join JPMorgan's transformation into a technologically advanced, client-centric company. We're investing in cutting-edge infrastructure, data, and AI technology and are seeking top talent Data team. Our mission is to incorporate Data & machine learning into our key customer products, working closely with our engineering and technology partners. This role provides a unique opportunity to make a significant impact on the financial services industry.

As a Data Product Manager in Consumer & Community Banking in the Home Lending Data Owner team, you'll play a key part in running programs at the forefront of Chase’s data modernization efforts, leading the Home Lending into an AI analytics and cloud-first based strategy. This is a unique opportunity to manage the design and implementation of a hyper scale data platform.

Job Responsibilities:

Supports technical architecture, AI/ML and data design,  Provides strategic decisions around the design of, investment in, and decommissioning of elements of the Home Lending Servicing Product that is created, provisioned, or consumed to support strategic business objectives, Artificial Intelligence/Machine Learning, advanced analytics, business operations, and reporting. Collaborates with transformation leaders, designers, and developers to ensure that Home Lending Products leverage state-of-the-art cloud architecture while effectively navigating the firm’s current-state hybrid environment.   Partners with aligned Data Owners, Data Scientists, and Analysts, to drive increased business value through the identification of data required to support advanced analytics outcomes such as customer segmentation, personalization, and AI/ML, including Generative AI models.

Required qualifications, capabilities and skills:

Bachelor's degree in Computer Science, Data Science, Statistics, Economics, or a related field. Experience in the use of data visualization tools and data analysis software. Experience in strategic planning and execution of data initiatives. Strong understanding of AI/ML use cases and their real-world advantages/drawbacks. Knowledge of cloud platforms like AWS, Google Cloud, or Azure, and experience with big data technologies like Hadoop, Spark, etc. Excellent leadership and team management skills. Strong problem-solving skills and the ability to make data-driven decisions. Excellent communication skills, with the ability to explain complex data concepts to non-technical stakeholders. Ability to work in a fast-paced environment and manage multiple projects simultaneously.

Preferred qualifications, capabilities and skills

A Master's degree or PhD would be a plus Proven experience in a team manager role within a data-driven organization. Demonstrated experience in managing and deploying AI/ML models at scale. Experience in product management, including the development and launch of new data products. Proven track record of working with cross-functional teams, including data scientists, engineers, and business stakeholders. Familiarity with data governance and data privacy regulations. Prior experience in Home Lending