J

JP Morgan Chase

Runs a consumer bank and an investment bank

Executive Director, Data Engineering - Data Engineering, Network

Full-TimeUpdated on 10/15/2026
No salary listed
Expert
Bachelor's
Buenos Aires, Argentina
In Person
Engineering ManagementEngineering Leadership

About the job

Requirements
  • At least 10 years of experience in data engineering or data platform engineering, including leadership roles running data systems at scale and manager-of-managers experience.
  • Proven ownership of a production data platform covering pipelines, modelling, storage, and serving, with accountability for freshness, correctness, and availability.
  • Demonstrated experience establishing data governance in practice, including ownership models, data contracts, data quality measurement, lineage, and schema evolution.
  • Strong hands-on engineering foundation in Python, SQL, APIs, streaming and batch pipelines, and modern data stores, with the judgment to maintain a high engineering bar.
  • Proven track record adopting agentic artificial intelligence and large language model-driven capabilities in production engineering environments and preparing data estates for artificial intelligence consumption.
  • Experience operating within formal risk and control frameworks, including audit engagement, evidence quality standards, and remediation governance.
  • Proven ability to scale teams and drive adoption of common data standards across partner teams.
  • Prior site, country, or regional engineering hub leadership experience.
  • Bachelor of Science or Bachelor of Arts degree, or equivalent practical experience, in technology, engineering, or a related discipline.
Responsibilities
  • Define and execute the network data strategy, covering data modelling, authoritative sources, distribution, and access for consuming platforms.
  • Build and operate the data platform, including ingestion and streaming pipelines, transformation, storage and modelling, performant serving application programming interfaces, and self-service access for engineering teams.
  • Establish consistent data models and identity standards for network entities, including devices, circuits, sites, and interfaces, so data can be reliably joined and reused across systems.
  • Drive data quality as an engineering discipline through validation, automated testing, monitoring, and measurable quality targets across the data lifecycle.
  • Establish data contracts and data service-level objectives covering freshness, completeness, accuracy, and availability, with clear ownership, versioning, and schema-evolution standards.
  • Implement lineage and observability across data pipelines so issues can be traced to their source and change impacts assessed in advance.
  • Partner with firm-wide data governance and data quality programmes to meet audit, risk, and regulatory obligations.
  • Make network data ready for artificial intelligence by structuring, describing, and making it accessible for agentic and large language model-driven capabilities, and apply artificial intelligence within the data lifecycle.
  • Establish engineering standards, testing frameworks, and continuous integration and continuous delivery pipelines so data pipelines and services are production-grade, secure by design, and observable.
  • Deliver measurable outcomes, including data service-level objective attainment, improved data quality metrics, faster access to network data, and downstream gains in automation, reliability, and analytics.
  • Represent the Argentina hub in global Infrastructure Platforms Foundational Services forums.
  • Drive site culture, retention, and consistent engineering standards across functional silos.
  • Ensure effective cross-functional collaboration with security, infrastructure, application teams, service management, and business partners to deliver integrated outcomes.
  • Manage regional resource planning and budget inputs, including capacity forecasting, skills coverage, on-call sustainability, and investment recommendations tied to measurable service improvements.
  • Hire, develop, and retain engineering talent across the Argentina footprint.
  • Ensure governance, risk, and audit compliance for in-country operations.
  • Own data platform and data quality outcomes; build and scale engineering teams as a manager of managers across functional and matrixed reporting lines; drive a product-led approach to data with clear ownership, published standards, and consumers treated as customers; communicate with executives and make the business case for foundational data investment; maintain compliance and control discipline; and represent the firm in-region with regulators, universities, and partners.
Desired Qualifications
  • Infrastructure or network domain experience, including inventory, topology, configuration, and telemetry data.
  • Experience with source-of-truth platforms or graph and topology data models.
  • Experience with streaming telemetry and time-series data at scale.
  • Experience in financial services or another regulated environment.
  • Experience supporting automation and reliability engineering teams as primary data consumers.
  • Demonstrated use of artificial intelligence to redesign data engineering workflows for measurable impact and build organizational artificial intelligence fluency.
  • Demonstrated experience in incident, problem, and change governance, including executive communications during high-severity events.

About the company

JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.

Company Size

10,001+

Company Stage

IPO

Headquarters

New York City, New York

Founded

1799

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Simplify's Take

What believers are saying

  • Growth is broad-based: every JPMorgan division posted record revenue in the June 2026 quarter, and trading jumped 35%.
  • Stock grants gained value: shares rose 21% in three months, valuing JPMorgan at $965 billion in August 2026.
  • Tech teams are well funded: JPMorgan's nearly $20 billion yearly tech budget is the largest in banking.

What critics are saying

  • AI is shrinking some teams: Dimon said in July 2026 that AI cut up to 40% of certain roles.
  • Plan on five office days a week: JPMorgan ended hybrid schedules for all staff in early 2025.
  • It is fighting the president in court: Trump sued JPMorgan for $5 billion in January 2026 over his closed accounts.

What makes JP Morgan Chase unique

  • It ranks first in investment banking: JPMorgan earned 9.3% of global deal fees in the first half of 2026.
  • It trains future CEOs: 10 Fortune 500 chiefs were JPMorgan alumni in September 2025, fifth-most of any employer.
  • Its payments arm is a hidden giant: JPMorgan says it processes $12 trillion a day across 160-plus countries.

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Benefits

  • Health Insurance
  • Flexible Work Hours
  • Paid Sick Leave
  • Paid Holidays

Growth & Insights and Company News

Headcount

6 month growth

-9%

1 year growth

-4%

2 year growth

-4%
Bloomberg
Oct 19th, 2026
JPMorgan brings JPM Coin deposit token to Ethereum for institutional clients

JPMorgan Chase & Co. is launching its deposit token, JPM Coin, on Ethereum for institutional clients. The move extends the lender's push into blockchain payments as Wall Street grows more comfortable moving money on public networks.

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JPMorgan Chase Bank subsidiary discriminated against conservative customers, US investigation finds.

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Oct 17th, 2026
Goldman edges JPMorgan on growth and valuation as both banks pay ~2% dividend yields

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