Risk Management Data Strategist Lead Vice President

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NY
Posted
51 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $192k
$148k most similar roles pay here $234k

This listing doesn't post a salary. Most similar roles pay $158,094–$226,000.

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 · Risk Management Data Strategist Lead Vice President

Risk Management - Data Strategist Lead - Vice President serves within the Principal Investment Risk Management team to define and execute risk data strategy and governance models. The role involves building trusted, decision-grade data products while leading applied AI and Machine Learning delivery, including generative AI, agentic workflows, and traditional machine learning to improve risk oversight and reporting. Key responsibilities include managing data foundations like metadata, lineage, and lifecycle controls, as well as implementing LLM agents and multi-agent systems with human-in-the-loop escalation. The candidate will utilize Python, SQL, and Tableau to develop analytics and dashboards while ensuring production safety through verification and validation mechanisms. This role addresses the technical challenge of creating reliable risk data products for the principal investment process by integrating complex data sources into governed, high-quality outputs for downstream reporting and strategic business operations.

What you'll do

  • Define and execute the risk data strategy and governance model to provide trusted, decision-grade data products.
  • Manage risk data foundations including sourcing, integration, metadata cataloging, lineage, and lifecycle controls.
  • Design and implement applied AI/ML solutions, including generative AI and agentic workflows, for risk oversight.
  • Develop verification and validation mechanisms like business-rule checks and evaluation datasets to ensure safe production outputs.
  • Establish measurable data KPIs to steer the roadmap and prioritize technical initiatives.
  • Translate complex business needs into technical designs, acceptance criteria, and execution plans.
  • Manage the end-to-end delivery lifecycle from initial requirements and proof of concept to scaled production adoption.
  • Monitor and maintain production solutions through performance tracking, drift management, and continuous iteration.

What we're looking for

  • Bachelor’s degree or equivalent experience in a relevant field such as data science, computer science, engineering, math, or sciences.
  • 5+ years of experience in data management, data governance, risk management/analytics, data science, or a closely related domain.
  • Strong analytical problem-solving skills and the ability to execute effectively in time-sensitive environments.
  • Ability to communicate clearly in writing and verbally while producing high-quality documentation and influencing stakeholders.
  • Foundational knowledge of data management principles and end-to-end data lifecycle management.
  • Proficiency in programming with Python and working confidently with SQL or similar querying languages.
  • Experience building and interpreting dashboards using Tableau or equivalent business intelligence tools.
  • Hands-on experience with LLM platforms, agent orchestration frameworks, production system operations, and cloud/DevOps tools (preferred).

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