Data Manager Jobs at JPMorganChase with Visa Sponsorship
JPMorganChase hires Data Managers across its technology, risk, and operations divisions, with a consistent track record of sponsoring work visas for qualified candidates. If you hold an H-1B visa, E-3 visa, or are pursuing permanent residence, this is a firm that actively files on behalf of sponsored employees.
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Get Access To All JobsJob Description
Join JPMorganChase's Card business as a Data Scientist Director, leading the Card Data & Analytics Customer & Strategic Analytics team. You will lead a high-performing organization of analytics leaders, data scientists, and analysts to drive measurable business impact through AI, machine learning, and advanced analytics. This is a senior leadership role that sits at the intersection of innovation and execution—requiring equal parts technical depth, strategic vision, and people leadership. As a Data Scientist Director at JPMorganChase within the Card Data & Analytics Customer & Strategic Analytics team, you will lead end-to-end delivery of AI and analytics solutions that shape product strategy, customer experience, and competitive positioning. You will build and develop a diverse team of analytics professionals, set technical and analytical direction across multiple business domains, and translate complex insights into clear, actionable recommendations for senior stakeholders. You will foster a culture of intellectual curiosity, inclusion, and continuous improvement while influencing roadmaps, shaping business decisions, and building organizational capability.
Job Responsibilities
- Define and drive the AI strategy for Card Data & Analytics, identifying high-value opportunities for generative AI, agentic AI, and analytics innovation to create competitive advantage
- Partner with Data, Product, and Technology to deliver AI and machine learning solutions from ideation and prototyping through production deployment, ensuring solutions are scalable, responsible, and aligned to business needs
- Stay current on emerging AI and machine learning techniques and translate new capabilities into practical applications for the Card business
- Lead analytics supporting customer experience and benefits, delivering insights that inform customer engagement, product design, portfolio performance, and pricing and targeting strategies
- Partner with Product, Risk, and Finance stakeholders to define analytical priorities, interpret results, and drive data-informed decisions
- Drive measurement frameworks, experimentation (including A/B testing and causal inference), and personalization strategies that improve customer experience and benefits utilization
- Translate customer data into actionable insights that inform marketing, product, and servicing strategies. Build and lead competitive intelligence analytics capabilities that monitor market trends, competitor positioning, and industry benchmarks within the Card space
- Partner with external vendors and synthesize internal and external data sources to provide senior leaders a clear view of the competitive landscape
- Deliver forward-looking analyses that inform strategic planning and product roadmap decisions for the Card business
- Lead, mentor, and develop a multi-layered team of analytics leaders, data scientists, and analysts, fostering a high-performance, inclusive, growth-oriented culture. Set clear goals and performance expectations, provide ongoing coaching, and support career development across all levels of the team
- Attract and retain top analytics talent through hiring, onboarding, and skills development programs. Champion a culture of innovation, intellectual rigor, and collaborative problem-solving across the broader Card Data & Analytics organization.
Required Qualifications, Capabilities, And Skills
- Master's or PhD in a quantitative field and 10+ years of analytics experience
- Proven senior leadership experience managing and developing multi-disciplinary analytics teams, including managers and individual contributors, in a large enterprise environment
- Deep expertise in data science and analytics, including hands-on experience with predictive modeling, statistical analysis, segmentation, and experimentation
- Demonstrated ability to deliver AI, machine learning, and analytics solutions that drive measurable business outcomes, ideally within financial services or consumer products
- Strong business acumen with the ability to frame analytical problems in terms of business strategy and translate insights into executive-level recommendations
- Experience leading analytics across multiple concurrent business domains, balancing near-term delivery with longer-term capability building
- Exceptional stakeholder management and communication skills, with a track record of influencing senior leaders and cross-functional partners
- Proficiency in Python and/or R, and experience with modern data platforms such as Snowflake or Databricks
- Strong project and program management skills, including the ability to define success metrics, manage risks, and drive execution across complex initiatives
Preferred Qualifications, Capabilities, And Skills
- Experience in Card, consumer lending, or payments analytics, including familiarity with installment products, credit risk, or customer lifecycle management
- Hands-on experience with generative AI solutions, including large language models, retrieval-augmented generation, and agentic AI frameworks
- Experience building or leading competitive intelligence functions using alternative data, market data, or external benchmarking
- Experience with causal inference, A/B testing, and experimentation frameworks at scale
- Familiarity with responsible AI principles, model governance, and regulatory considerations in financial services
- Experience enabling analytics adoption through change management, self-service tooling, or organizational enablement
- Familiarity with Agile delivery methods and modern product practices
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.
Job Description
Join JPMorganChase's Card business as a Data Scientist Director, leading the Card Data & Analytics Customer & Strategic Analytics team. You will lead a high-performing organization of analytics leaders, data scientists, and analysts to drive measurable business impact through AI, machine learning, and advanced analytics. This is a senior leadership role that sits at the intersection of innovation and execution—requiring equal parts technical depth, strategic vision, and people leadership. As a Data Scientist Director at JPMorganChase within the Card Data & Analytics Customer & Strategic Analytics team, you will lead end-to-end delivery of AI and analytics solutions that shape product strategy, customer experience, and competitive positioning. You will build and develop a diverse team of analytics professionals, set technical and analytical direction across multiple business domains, and translate complex insights into clear, actionable recommendations for senior stakeholders. You will foster a culture of intellectual curiosity, inclusion, and continuous improvement while influencing roadmaps, shaping business decisions, and building organizational capability.
Job Responsibilities
- Define and drive the AI strategy for Card Data & Analytics, identifying high-value opportunities for generative AI, agentic AI, and analytics innovation to create competitive advantage
- Partner with Data, Product, and Technology to deliver AI and machine learning solutions from ideation and prototyping through production deployment, ensuring solutions are scalable, responsible, and aligned to business needs
- Stay current on emerging AI and machine learning techniques and translate new capabilities into practical applications for the Card business
- Lead analytics supporting customer experience and benefits, delivering insights that inform customer engagement, product design, portfolio performance, and pricing and targeting strategies
- Partner with Product, Risk, and Finance stakeholders to define analytical priorities, interpret results, and drive data-informed decisions
- Drive measurement frameworks, experimentation (including A/B testing and causal inference), and personalization strategies that improve customer experience and benefits utilization
- Translate customer data into actionable insights that inform marketing, product, and servicing strategies. Build and lead competitive intelligence analytics capabilities that monitor market trends, competitor positioning, and industry benchmarks within the Card space
- Partner with external vendors and synthesize internal and external data sources to provide senior leaders a clear view of the competitive landscape
- Deliver forward-looking analyses that inform strategic planning and product roadmap decisions for the Card business
- Lead, mentor, and develop a multi-layered team of analytics leaders, data scientists, and analysts, fostering a high-performance, inclusive, growth-oriented culture. Set clear goals and performance expectations, provide ongoing coaching, and support career development across all levels of the team
- Attract and retain top analytics talent through hiring, onboarding, and skills development programs. Champion a culture of innovation, intellectual rigor, and collaborative problem-solving across the broader Card Data & Analytics organization.
Required Qualifications, Capabilities, And Skills
- Master's or PhD in a quantitative field and 10+ years of analytics experience
- Proven senior leadership experience managing and developing multi-disciplinary analytics teams, including managers and individual contributors, in a large enterprise environment
- Deep expertise in data science and analytics, including hands-on experience with predictive modeling, statistical analysis, segmentation, and experimentation
- Demonstrated ability to deliver AI, machine learning, and analytics solutions that drive measurable business outcomes, ideally within financial services or consumer products
- Strong business acumen with the ability to frame analytical problems in terms of business strategy and translate insights into executive-level recommendations
- Experience leading analytics across multiple concurrent business domains, balancing near-term delivery with longer-term capability building
- Exceptional stakeholder management and communication skills, with a track record of influencing senior leaders and cross-functional partners
- Proficiency in Python and/or R, and experience with modern data platforms such as Snowflake or Databricks
- Strong project and program management skills, including the ability to define success metrics, manage risks, and drive execution across complex initiatives
Preferred Qualifications, Capabilities, And Skills
- Experience in Card, consumer lending, or payments analytics, including familiarity with installment products, credit risk, or customer lifecycle management
- Hands-on experience with generative AI solutions, including large language models, retrieval-augmented generation, and agentic AI frameworks
- Experience building or leading competitive intelligence functions using alternative data, market data, or external benchmarking
- Experience with causal inference, A/B testing, and experimentation frameworks at scale
- Familiarity with responsible AI principles, model governance, and regulatory considerations in financial services
- Experience enabling analytics adoption through change management, self-service tooling, or organizational enablement
- Familiarity with Agile delivery methods and modern product practices
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.
See all Data Manager Jobs at JPMorganChase
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Manager Jobs at JPMorganChase.
Get Access To All JobsTips for Finding Data Manager Jobs at JPMorganChase
Align Your Credentials to LCA Job Codes
JPMorganChase files Labor Condition Applications with DOL before petitioning USCIS. Review publicly available LCA disclosures to confirm your target job title and SOC code match how the firm classifies Data Manager roles internally.
Target Enterprise Data and Risk Teams
JPMorganChase's Data Manager openings cluster in regulatory reporting, enterprise data governance, and risk technology. Applications framed around data lineage, metadata management, or compliance data pipelines align directly with the firm's recurring hiring patterns.
Clarify Sponsorship Early in Recruiter Screens
JPMorganChase routes visa-requiring candidates through a dedicated HR compliance process. Confirming your visa type and required filing timeline in the first recruiter call prevents late-stage delays when offer paperwork reaches the immigration team.
Build a Degree-to-Role Evidence File
E-3 and H-1B specialty occupation petitions require demonstrating your degree directly supports the Data Manager function. Assemble transcripts, course descriptions, and a written nexus statement before your offer is finalized so USCIS review moves without delays.
Understand Where Green Card Filing Fits
For EB-2 or EB-3 sponsorship at a firm like JPMorganChase, PERM labor certification is the starting point. This process can run 18 months or longer, so aligning your internal tenure and performance reviews with your attorney's PERM timeline is critical.
Use Migrate Mate to Find Open Roles Fast
Sponsored Data Manager roles at large financial conglomerates fill quickly and are not always flagged as visa-friendly on general job boards. Use Migrate Mate to filter JPMorganChase openings by visa type so you only spend time on positions that match your status.
Frequently Asked Questions
Does JPMorganChase sponsor H-1B visas for Data Managers?
Yes, JPMorganChase sponsors H-1B visas for Data Manager roles. The firm has an established immigration program that handles petitions across technology, risk, and operations functions. Because JPMorganChase is a large employer, it files H-1B petitions in both the regular cap lottery and under cap-exempt arrangements where applicable, though most new hires enter through the annual lottery process.
Which visa types does JPMorganChase commonly use for Data Manager roles?
JPMorganChase sponsors H-1B, H-1B1 visa, and E-3 visas for Data Manager positions, as well as employment-based Green Card pathways including EB-2 and EB-3. H-1B is the most common nonimmigrant route. E-3 is available exclusively to Australian citizens. H-1B1 covers Chilean and Singaporean nationals. Each visa type has distinct filing requirements and processing timelines managed through USCIS.
What qualifications are expected for Data Manager roles at JPMorganChase?
JPMorganChase typically expects a bachelor's degree in information systems, computer science, engineering, or a related technical field for Data Manager roles. Hands-on experience with data governance frameworks, metadata tools, or regulatory reporting pipelines is frequently required. Familiarity with financial services data environments, particularly in risk, compliance, or enterprise data architecture, strengthens your candidacy significantly.
How do I apply for Data Manager jobs at JPMorganChase?
You can browse and apply for Data Manager roles at JPMorganChase through Migrate Mate, which filters open positions by visa sponsorship type so you can confirm the role fits your status before applying. Applications typically go through JPMorganChase's internal recruiter pipeline, which includes a screening call, technical or case-based interviews, and a compliance review before an offer is extended to visa-requiring candidates.
How do I plan my timeline when JPMorganChase sponsors my H-1B?
H-1B cap-subject petitions must be filed by April 1 for an October 1 start date, and registration opens in March. If JPMorganChase extends an offer outside that window, you may need to start on OPT or another bridge status while waiting for the next cycle. Premium processing through USCIS reduces adjudication time to roughly 15 business days and is commonly used for time-sensitive hires.