Data Manager Jobs at JPMorganChase with Visa Sponsorship

INTRODUCTION

Join the Data & Analytics Productivity & Transformation team and help reinvent how data and analysis drive outcomes across Chase. You’ll shape how analysts use AI-enabled automation to move faster, improve quality, and focus on higher-value work. This role offers high visibility, strong mobility, and hands-on ownership from discovery through production.

If you enjoy partnering across product, engineering, and data leaders to deliver measurable impact, you’ll thrive here.

Job summary

As a Vice President, Product Manager – Data Quality & AI Automation in the Data & Analytics Productivity & Transformation team, you will lead persona-driven discovery and design for automation opportunities across the Data & Analytics organization, starting with data quality, recurring reporting, and audience management.

You will build and operate foundational data capabilities—metadata, semantic context, and data quality controls—so our teams can create governed, high-quality data assets at scale.

You will run an intake-to-graduation pipeline that turns promising pilots into production-ready solutions with clear success metrics and adoption plans.

Working closely with engineering, data owners, and business partners, you will help analysts spend less time on repetitive work and more time on insights that matter.

You will evaluate both internal AI solutions and third-party offerings using a consistent, criteria-driven framework and unified scorecards to enable fair comparisons and confident decisions.

You will partner with automation and platform teams to integrate approved tools into standardized stacks and scale what works across the organization.

You will also lead enablement, communications, and change management so new capabilities are adopted, used well, and sustained.

Job responsibilities

• Establish and operate metadata, semantic, and data quality capabilities that enable governed, high-quality data assets.
• Partner with automation teams to scale controls and automations that improve data quality, access management, and compliance outcomes.
• Conduct structured discovery with targeted analyst personas to identify high-frequency workflows suited for automation.
• Define problem statements, success criteria, and measurable outcomes for pilots and product releases.
• Design and run inclusive, hands-on testing programs to gather real-world feedback from diverse analyst groups.
• Lead intake, evaluation, and graduation for local solutions with firm-wide viability, using standardized scorecards and decision criteria.
• Maintain portfolio roadmaps, backlogs, and release plans across the automation pipeline, balancing near-term wins with scalable foundations.
• Drive adoption through enablement, communications, and change management so new capabilities are understood and used effectively.
• Partner with engineering and platform teams to define production-readiness criteria and move pilots into production safely and consistently.
• Monitor performance against OKRs, iterate based on outcomes, and run regular partner check-ins to ensure delivery against objectives.

Required qualifications, capabilities, and skills

• Proven experience evaluating, implementing, or managing AI-enabled analytics and automation solutions across a data/analytics organization.
• Demonstrated ability to lead cross-functional product delivery from discovery through production (backlog, roadmap, releases, dependencies).
• Strong knowledge of metadata management, data quality controls/frameworks, semantic modeling, and data governance practices.
• Strong analytical skills to define success criteria, measure impact, identify gaps, and drive iterative improvement.
• Experience influencing and aligning stakeholders across product, engineering, data owners, and business partners.
• Demonstrated change management and enablement skills (training, communications, rollout planning, sustained adoption).
• Experience designing and executing structured pilots and user testing, including consistent evaluation criteria and scorecards.
• Excellent written and verbal communication skills, including ability to explain technical concepts to mixed audiences and senior leaders.
• Demonstrated track record delivering measurable outcomes (productivity gains, cycle-time reduction, quality improvements, user satisfaction).
• Comfort operating in a fast-changing environment with strong learning agility and ability to adapt priorities as needed.

Preferred qualifications, capabilities, and skills

• Experience building enterprise-scale data quality programs, including controls, monitoring, and remediation workflows.
• Experience commercializing internal solutions into reusable products and scaling adoption across multiple teams.
• Familiarity with modern data/AI ecosystems and concepts (e.g., lakehouse patterns, semantic layers, NLP-enabled analytics).
• Experience integrating approved AI assistants into analytics workflows with appropriate governance and risk considerations.
• Experience running communities of practice, enablement programs, or change networks for analytics organizations.

About us

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

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.

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.