Card Data and Analytics - Data Product Owner Lead

Next Frontier Capital; Plano (TX); On-site; USD 200,000 - 300,000; Full time

Benefits offered by this job

Health benefits

On-site health center

Retirement plan

Backup childcare

Tuition reimbursement

Mental health support

Financial coaching

Job summary

Chase is seeking a Vice President, Data & Analytics — AI Enablement to lead strategy and delivery for making data AI-ready within the Card Data & Analytics organization. You will partner across data platform engineering, analytics engineering, and AI/ML teams to shape data structures, governance, and readiness for AI consumption.

The role requires extensive experience in data modeling, pipelines, modern data warehousing, and a deep understanding of AI/ML data needs.

Qualifications

• Strong knowledge of data modeling, pipelines, and data warehousing.
• Fluency in AI/ML data usage and metadata.
• Proven ability to lead cross-functional initiatives and meet timelines.
• Exceptional organizational skills and ability to bring structure to ambiguity.
• Strong communication and executive presence across engineering, product and business partners.

Responsibilities

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

Skills

Data platform

Analytics engineering

AI/ML concepts

Cross-functional leadership

Data governance

Executive communication

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.

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

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.

Equal Opportunity Employer/Disability/Veterans

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.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

Vice President, Data & Analytics — AI Enablement | Consumer & Community Banking