Wealth Management - Data Owner - Senior Associate

JPMorganChase•Jersey City, NJ

About The Position

As a Data Owner Senior Associate in Wealth Management, you will develop and implement procedures to ensure data supports business operations, business objectives, and advanced analytics. You will collaborate with technology and business teams to define and document data requirements, describe data, maintain data quality, and address data risks. Your work will advance data initiatives that enhance decision-making and operational efficiency and help foster a data-focused culture that supports company growth and innovation.

Requirements

  • Bachelor’s degree in Data Science, Computer Science, Information Systems, Data Analytics, or a related field, or equivalent professional experience in data management, data governance, or a related field.
  • At least 3 years of experience in data management, data governance, risk management/analytics, or a related field.
  • Strong understanding of data management principles, data governance frameworks, and data lifecycle management, including data protection, data quality, and data classification.
  • Experience defining and documenting data requirements, metadata, and classifiers.
  • Ability to collaborate effectively with technology and business teams to ensure data quality and compliance with standards.
  • Strong analytical and problem-solving skills, including the ability to identify and address data issues.
  • Effective communication skills and ability to convey data concepts to technical and non-technical stakeholders.
  • Intermediate proficiency with the Microsoft Office suite.

Nice To Haves

  • Experience with AI tools and agentic solutions.
  • Experience with business intelligence tools such as Alteryx or Tableau to communicate data insights.
  • Familiarity with data governance tools and platforms.
  • Experience with cloud-based data platforms and technologies such as AWS, Azure, or Google Cloud.

Responsibilities

  • Develop and implement operational procedures for delivering data to support business operations, business objectives, and advanced analytics.
  • Use subject matter expertise and internal partnerships to define and document metadata and classifiers, ensuring they are understood and effectively used across business functions.
  • Own, maintain, and develop a data-product backlog that enables development to support the overall roadmap and value proposition.
  • Define and document key stakeholders’ data requirements to ensure understanding of data and its use across business functions.
  • Support implementation of data governance, data products, data publishing standards, and risk management processes under senior leadership guidance.
  • Execute processes to identify, monitor, and mitigate data risks throughout the data lifecycle, including protection, retention, storage, use, and quality.
  • Partner with technology and business resources to ensure data sourcing, content, and quality meet established requirements.
  • Collaborate with teams to investigate root causes of data issues and recommend remediation.
  • Mentor and support junior staff in their professional development, contributing to continuous learning and improvement.
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