Data & Marketing Systems Quant Analytics Manager Vice President

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Wilmington, DE
Posted
14 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $186k
$139k most similar roles pay here $232k

This listing doesn't post a salary. Most similar roles pay $149,125–$222,625.

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 · Data & Marketing Systems Quant Analytics Manager Vice President

As a Data & Marketing Systems Quant Analytics Manager-Vice President within the Performance Marketing Operations and Transformation team, you will modernize how audiences are built, activated, and measured using automation and responsible artificial intelligence. You will design and implement data management approaches, build reusable audience templates and measurement assets, and develop quality assurance processes to improve consistency across owned advertising channels and email. Your daily work involves analyzing multi-system data to refine customer targeting, monitoring data pipelines for anomalies, and translating business needs into technical requirements for product and technology teams. You will utilize SQL and Python to automate repeatable processes while ensuring governance and privacy standards are met. This role focuses on the marketing operations problem of scaling campaign execution through automated tools, advanced segmentation, and controlled artificial intelligence integration to improve performance and delivery efficiency.

What you'll do

  • Design and implement data management approaches to improve marketing execution and automated data quality checks.
  • Analyze multi-system data to refine customer targeting using propensity, affinity, and suppression insights.
  • Build reusable assets like audience templates and measurement views to standardize and scale operations.
  • Develop repeatable quality assurance processes and validation routines to reduce manual effort.
  • Monitor and troubleshoot data pipeline issues affecting targeting accuracy and campaign performance.
  • Implement alerting and anomaly detection systems to proactively identify operational risks.
  • Integrate controlled artificial intelligence capabilities for segmentation, optimization, and workflow automation.
  • Quantify the impact of automation by tracking delivery efficiency and measurable performance improvements.

What we're looking for

  • Bachelor’s degree in data science, statistics, information systems, or a related field.
  • Demonstrated hands-on experience in data analytics, customer segmentation, or targeting for marketing use cases.
  • Strong SQL skills to manipulate data, validate outputs, and support scalable audience creation.
  • Working proficiency in Python for analysis and automation of repeatable data processes.
  • Experience translating business needs into clear technical requirements and success measures for delivery partners.
  • Practical understanding of digital marketing execution and performance measurement.
  • Ability to identify automation opportunities and implement responsible artificial intelligence while maintaining governance.
  • Strong communication skills to explain complex topics to non-technical partners and influence stakeholders.

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