Vice President, Data Owner - Card Data Analytics

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NYWilmington, DEPlano, TX
Employment
Full-time
Posted
3 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $193k
$152k most similar roles pay here $234k

This listing doesn't post a salary. Most similar roles pay $160,050–$225,725.

Based on 240 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1222 open roles on FindRole.

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TL;DR · Vice President, Data Owner - Card Data Analytics

As Data Owner Vice President - Card Data Analytics, you will join the Consumer & Community Banking team to shape and deliver business-ready data products for branded credit card datasets. You will own the product vision and roadmap, translating complex business needs into actionable technical requirements and user stories while managing delivery execution across milestones. Your daily work involves defining use cases, enhancing curated datasets with new metrics, and driving modernization efforts from legacy platforms to cloud-native architectures. You will manage data governance, including metadata, lineage, and quality standards, while mitigating risks related to protection and retention. The role requires expertise in data engineering concepts, Agile methodologies, and modern platforms like AWS, Snowflake, or Databricks. Preferred skills include advanced SQL, Python, R, Spark, Hadoop, or Alteryx within the credit card or consumer lending domains.

What you'll do

  • Own the vision and roadmap for branded credit card datasets to support strategic objectives and analytics.
  • Define, document, and prioritize use cases to ensure data is fit-for-purpose for business workflows.
  • Enhance curated datasets by redefining metrics and creating derived attributes to improve usability.
  • Translate complex business needs into technical requirements and user stories for both technical and executive audiences.
  • Drive modernization efforts by migrating legacy platforms to cloud-native architectures and improved delivery patterns.
  • Establish and govern data scope, including metadata, definitions, classification, and lineage.
  • Set and monitor data quality standards while coordinating remediation with cross-functional partners.
  • Identify and mitigate data risks regarding protection, retention, storage, and usage throughout the product lifecycle.

What we're looking for

  • 8+ years of experience delivering products, projects, or technology applications in data, analytics, or technology environments.
  • End-to-end product ownership experience across discovery, planning, requirements definition, delivery execution, and value realization.
  • Strong technical and data fluency including data engineering concepts like pipelines, modeling, and architecture to create clear specifications.
  • Experience working with modern data platforms and cloud ecosystems such as AWS, Snowflake, or Databricks.
  • Demonstrated ability to drive adoption and organizational change by influencing cross-functional partners.
  • Experience operating in Agile teams, including planning, refinement, and delivery cadence.
  • Strong executive-ready communication skills and structured problem-solving abilities.
  • Advanced SQL/Python/R skills, large-scale data tools (Spark, Hadoop, Alteryx), and credit card domain experience (preferred).

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