Shape the future of data-driven decision-making at one of the world's most innovative financial institutions, where your expertise will directly influence how millions of customers experience trust, security, and seamless digital interactions. At JPMorganChase, we invest in our people and technology to build solutions that matter and we want you to be part of that journey.
As a Vice President, Data Owner Lead within the Trust and Security team at JPMorganChase, you will be embedded in a highly collaborative data and analytics organization that partners across product, technology, design, and analytics to enable next-generation, data-driven solutions. You will help shape data requirements, develop specifications for data delivery, and support reporting, analytics, and emerging artificial intelligence and machine learning use cases. Your work will directly contribute to reducing data risk, improving data quality, and accelerating modernization efforts that protect and serve our customers.
Job responsibilities
- Implement strategic plans to deliver data solutions and data products that support business operations and strategic objectives.
- Use SQL and data tooling to perform data testing and validation (e.g., completeness, accuracy, timeliness, reconciliation, anomaly detection), investigating variances and documenting test results to ensure ongoing data accuracy and integrity across curated datasets and data products.
- Document requirements for data sourcing, content, and quality. Define requirements for integrating multiple upstream sources (including mapping, transformation logic, and reconciliation) and for building curated datasets that support analytics and reporting use cases.
- Collaborate with partners to document and classify critical data with metadata. Ensure metadata is actionable and supports discovery and reuse (business definitions, technical metadata, lineage, quality rules/thresholds, and product documentation).
- Provide subject matter expertise on data content and usage within the business and associated product areas.
- Develop relationships with data providers and consumers across multiple functions. Engage broad-based consumer populations to understand usage patterns and improve usability of curated datasets and data products.
- Develop processes to identify and mitigate data risks throughout the data lifecycle, including data protection, privacy, retention, destruction, storage, use, and quality. Ensure controls are operationalized within pipelines and data products (e.g., automated quality checks, monitoring/alerting, and auditable evidence).
- Support data analytics by governing data integration into analytics platforms, including designing fit-for-purpose curated datasets and feature-ready data products for advanced analytics/ML use cases.
- Communicate and resolve data issues, maintaining data integrity; Support data issue triage and root-cause analysis with business and technology partners; drive remediation and preventative controls to reduce recurrence.
- Leverage AI/ML and LLM tooling to automate governance and data management activities (e.g., metadata drafting/classification, control evidence generation, quality rule suggestions, lineage/documentation assistance), including prompt creation and evaluation; contribute to agent-based workflow designs where appropriate.
Required qualifications, capabilities, and skills
- Formal training or certification on data engineering concepts and 5+ years applied experience
- Advanced SQL proficiency (complex joins, window functions, CTEs) for data exploration, profiling, reconciliation, and root-cause analysis across large datasets.
- Hands-on data testing experience designing and executing validation frameworks with documented pass/fail criteria and evidence.
- 5+ years of experience in data management or data governance, including hands-on work with cloud platforms such as Amazon Web Services, Google Cloud, or Microsoft Azure, and big data technologies such as Hadoop or Spark
- Experience developing roadmaps and cloud platform-based solutions for data lake, data warehouse, and business intelligence dashboard environments
- Demonstrated examples of leading data publishing initiatives that improved business insights while maintaining or strengthening data standards and controls
- Proven track record of applying data governance and compliance methods to reduce data risk and ensure appropriate data usage
- Exceptional ability to identify and reconcile stakeholder needs, drive innovative solutions, and communicate them clearly and confidently — both verbally and in writing — across cross-functional teams
- Experience applying agile practices and partnering directly with technology scrum teams to translate product requirements and user stories into technical sizing estimates and delivery plans
Bachelor's degree in Science, Data, or a related field
Preferred qualifications, capabilities, and skills
- Knowledge of business intent and customer experience goals for consumer banking products, particularly in areas such as Card, Payments, Identity, Authentication, or Fraud Prevention
- Experience building automated data quality checks within pipelines (pre/post-load validations, monitoring/alerting, exception workflows) to prevent regression and support auditability.
- Familiarity with identity and trust frameworks or technologies
- Experience working within large-scale financial services or highly regulated environments
- Exposure to artificial intelligence and machine learning use cases in a data ownership or data governance capacit
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 TeamSkills Required
- Formal training or certification in data engineering concepts
- At least 5 years of applied data engineering experience
- Advanced SQL proficiency, including complex joins, window functions, and common table expressions
- Hands-on experience designing and executing data testing and validation frameworks with documented pass/fail criteria and evidence
- At least 5 years of data management or data governance experience
- Hands-on experience with Amazon Web Services, Google Cloud, or Microsoft Azure
- Experience with big data technologies such as Hadoop or Spark
- Experience developing roadmaps and cloud-based solutions for data lakes, data warehouses, and business intelligence dashboards
- Demonstrated experience leading data publishing initiatives that improve business insights while maintaining data standards and controls
- Proven experience applying data governance and compliance methods to reduce data risk and ensure appropriate data usage
- Ability to reconcile stakeholder needs, drive innovative solutions, and communicate clearly across cross-functional teams
- Experience applying agile practices and partnering with technology scrum teams to translate requirements into estimates and delivery plans
- Bachelor's degree in Science, Data, or a related field
- Knowledge of consumer banking products, especially Card, Payments, Identity, Authentication, or Fraud Prevention
- Experience building automated data quality checks, monitoring, alerting, and exception workflows within data pipelines
- Familiarity with identity and trust frameworks or technologies
- Experience in large-scale financial services or highly regulated environments
- Exposure to artificial intelligence and machine learning use cases in data ownership or governance
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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