Technical Product Manager - Cloud data platforms, AI/ML

Job Description
Join our team to elevate your product management career in data engineering.
As a Technical Product Manager within the Credit Card Data & Analytics team, you will define and execute the strategy for our enterprise Card data platforms. This role will focus on building and scaling data infrastructure, data products, and cloud-native solutions that power analytics, AI/ML, and digital products across the organization.
Job Responsibilities:

• Define product vision, product requirements, and help execute the roadmaps for data platform products , including data lakes, ingestion pipelines, and real-time streaming.
• Partner with data owners, engineering, data science, and business stakeholders to deliver scalable, compliant data product solutions.
• Lead modernization initiatives, including migration from legacy systems to cloud-native architectures such as AWS and Delta Lake.
• Drive improvements in data quality, metadata governance, and compliance across platform services.
• Deliver measurable business impact through efficiency gains, cost savings, and enabling AI/ML use cases.
• Evangelize platform capabilities and influence adoption across internal teams.

Required Qualifications, Capabilities, and Skills:

• Minimum 10 years of tech product management experience, with 3+ years in data or platform products.
• Strong technical knowledge of cloud data platforms, including AWS, Databricks, Delta Lake, Hadoop, and Kafka.
• Experience in API-first product design, data governance, and real-time data processing.
• Proven success in delivering enterprise-scale data products with measurable business outcomes.
• Strong leadership and stakeholder management skills, with the ability to align across data owners , engineering, and business teams.
• Hands-on exposure to tools such as Snowflake and can make hands dirty .
• Ability to translate AI/ML capabilities into platform features that unlock new business opportunities.

Preferred Qualifications, Capabilities, and Skills:

• Familiarity with AI/ML platforms and workflows, including an understanding of Generative AI architectures such as Retrieval-Augmented Generation (RAG) and vector databases.
• Technical knowledge of data engineering, data pipelines, data modeling, and data architecture preferred.

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.