Card Data and Analytics - Data Product Owner Lead

JPMorgan Chase & Co.; Plano (TX); On-site; USD 140,000 - 210,000; Full time

Job summary

JPMorgan Chase & Co. in Plano, TX is seeking a Data Product Owner Lead to drive strategy and delivery of AI-ready data, shaping how data is modeled, governed, and consumed by AI/ML.

You will partner with data platform, analytics, and AI teams to translate business problems into governed data products, set quality standards, and ensure data readiness while navigating regulatory banking requirements.

Qualifications

• Strong knowledge of data platform engineering and analytics engineering concepts.
• Fluency in the AI/ML space and understanding how data readiness drives AI outcomes.
• Proven ability to lead complex cross-functional initiatives and meet timelines.
• Excellent organizational skills and ability to bring structure to ambiguous, fast-moving work.
• Strong communication and executive presence across engineering, product, and business partners.
• Solid product acumen and understanding of how data and AI deliver business value.

Responsibilities

• Lead the strategy for contextualizing and preparing data for AI/ML consumption, ensuring data is trustworthy, well-modeled, discoverable, and AI-ready.
• Serve as the connective partner between data platform engineering, analytics engineering, and AI/ML teams, translating business problems into governed data products.
• Set standards and drive accountability for data quality, lineage, and readiness so downstream AI/ML use cases consume accurate, well-understood data.
• Partner with Product to shape roadmaps, prioritize data investments, and align AI-enabled work with measurable business value.
• Drive execution across stakeholders with structure, planning, and discipline to meet firm deadlines.
• Communicate clearly to technical and executive audiences, translating engineering detail into business outcomes.
• Champion data governance, privacy, and risk controls appropriate to a regulated banking environment.

Skills

Data platform engineering

Analytics engineering

Data modeling

Pipelines

Data warehousing

AI/ML readiness

Cross-functional leadership

Project management

Executive communication

Regulatory/compliance awareness

Job description

We have an exciting and rewarding opportunity for you to take your career to the next level.

As a Data Product Owner Lead, within the Card Data & Analytics organization, you will lead the strategy and delivery of making the firm's data ready and well-contextualized for AI and machine learning use and bring deep understanding of data platform engineering, analytics engineering, and the AI landscape to shape how our data is structured, governed, and positioned so that AI/ML solutions can consume it safely and effectively.

Job responsibilities:

• Lead the strategy for contextualizing and preparing data for AI/ML consumption, ensuring firm data is trustworthy, well-modeled, discoverable, and AI-ready.
• Serve as the connective partner between data platform engineering, analytics engineering, and AI/ML teams, translating business problems into well-defined, governed data products.
• Set standards and drive accountability for data quality, lineage, documentation, and readiness so downstream AI/ML use cases consume accurate, well-understood data.
• Partner with Product to shape roadmaps, prioritize data investments, and ensure AI-enabling work maps to measurable business value.
• Drive execution across multiple stakeholders and teams, bringing structure, planning, and discipline to complex initiatives with firm deadlines.
• Communicate clearly and influence across technical and executive audiences, translating between engineering detail and business outcomes.
• Champion data governance, privacy, and risk controls appropriate to a regulated banking environment.

Required qualifications, capabilities, and skills:

• Strong working knowledge of data platform engineering and analytics engineering concepts, including data modeling, pipelines, and modern data warehousing.
• Demonstrated fluency in the AI/ML space — a clear understanding of how AI/ML systems consume data, the role of context and metadata, and how data readiness drives outcomes.
• Proven ability to lead complex, cross-functional initiatives and hold teams accountable to timelines.
• Exceptional organizational skills and the ability to bring structure to ambiguous, fast-moving work.
• Strong communication and executive presence, with the ability to influence across engineering, product, and business partners.
• Solid product acumen and understanding of how data and AI work ladders up to business outcomes.

Preferred qualifications, capabilities, and skills:

• Experience in financial services or another highly regulated industry.
• Familiarity with modern AI enablement patterns such as retrieval, semantic/metadata layers, and grounding data for AI use.
• Experience partnering with data governance, risk, and controls functions.