Senior Associate Data Owner, Banking Payments

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: New York, NY
Posted: 29 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $165k

$122k most similar roles pay here $211k

This listing doesn't post a salary. Most similar roles pay $132,250–$198,450.

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 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Senior Associate Data Owner, Banking Payments

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As a Data Owner Senior Associate within the Banking Payments team, you will be accountable for all data created, provisioned, or consumed to support business objectives, advanced analytics, operations, and reporting. Working as part of the QUAD with product owners and technology leads, you will design and develop data models, optimize database structures, and maintain comprehensive documentation while ensuring data meets quality and safety requirements. You will identify critical data scope, manage metadata classification, and develop processes to mitigate risks regarding protection, retention, and storage. The role requires expertise in data management, engineering, pipelines, architecture, and governance using tools like SQL, NoSQL, Alteryx, Snowflake, Hadoop, Spark, and cloud platforms such as AWS, Google, or Azure. You will translate business requirements into technical specifications while navigating Agile methodologies to solve complex problems within the banking payments domain.

Skills

Data Modeling Data Engineering Data Governance Data Architecture SQL NoSQL AWS Cloud Platform Azure Snowflake Hadoop Spark Alteryx Data Pipelines Agile Data Quality Big Data

What you'll do

Create plans to deliver product data that supports business objectives, operations, analytics, and reporting.
Identify and document the scope of critical data including metadata and proper classification.
Support analytics initiatives by identifying and integrating necessary data into analytics platforms.
Develop processes to monitor and mitigate risks regarding data protection, retention, storage, and use.
Design and develop data models that support business processes and analytical requirements.
Create and optimize database structures for efficient data storage and retrieval.
Translate business data requirements into technical specifications for data models.
Maintain comprehensive documentation of data models, structures, and internal processes.

What we're looking for

Bachelor's degree required.
4+ years of industry experience in a data-related field.
Technical expertise in data management, engineering, pipelines, modeling, architecture, and governance.
Proficiency in data modeling tools and techniques.
Experience with cloud platforms (AWS, Google, or Azure) and big data technologies (Hadoop, Spark, Alteryx, or Snowflake).
Strong understanding of data quality, privacy, security standards, and governance frameworks.
Familiarity with database management systems such as SQL and NoSQL.
Understanding of Agile technological development methodology.

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