Executive Director - Data Engineering (Network) & Buenos Aires Site Lead

JPMorgan Chase · Buenos Aires

The Executive Director, Data Engineering is the functional leader for network data within Global Network Services, directly leading a 25 person engineering organization focuses on Network Data. Data is the foundation layer of the platforms we build: automation, observability, analytics, and AI all depend on trustworthy, queryable network state. This leader owns the network data platform end to end, from sourcing and modelling through to the serving layer that engineering teams consume, and sets the strategy for how network data is governed, delivered, and continuously improved at scale.

In parallel, the Executive Director serves as the Argentina (Buenos Aires) Regional Lead for Infrastructure Platform Foundational Services (Network, Storage, DataCentre, Data Protection and Recovery). Accountable for site strategy, talent development, governance, executive presence, and operational alignment across the region. The role establishes Argentina as a strategic engineering hub by building and sustaining high-performing engineering teams aligned to global priorities and outcomes.

This leader partners closely with the automation platform, SRE, and Product Engineering teams, and with firm-wide data governance and data quality programmes, to ensure network data is well governed and fit for production use.

Key Responsibilities

Functional Responsibilities - Data Engineering

Define and execute the network data strategy, covering data modelling, authoritative sources, distribution, and how data is made available to consuming platforms
Build and operate the data platform: ingestion and streaming pipelines, transformation, storage and modelling, and performant serving APIs and self-service access for engineering teams
Establish consistent data models and identity standards for network entities (device, circuit, site, interface) so data can be reliably joined and reused across systems
Drive data quality as an engineering discipline: validation, automated testing, monitoring, and measurable quality targets across the data lifecycle
stablish data contracts and data SLOs 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 source and change impact can be assessed ahead of time
Partner with firm-wide data governance and data quality programmes to meet audit, risk, and regulatory obligations
Make network data AI-ready: structured, well-described, and accessible so agentic and LLM-driven capabilities can reason over accurate state, and apply AI within the data lifecycle itself
Establish engineering standards, testing frameworks, and CI/CD pipelines so data pipelines and services are production-grade, secure-by-design, and observable
Deliver measurable outcomes: data SLO attainment, improved data quality metrics, faster access to network data, and demonstrable downstream gains in automation, reliability, and analytics

Regional Responsibilities - Argentina IP Foundational Services Site Lead
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: 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

Leadership Expectations
Strong ownership of data platform and data quality outcomes
Ability to build and scale engineering teams as a manager-of-managers across functional and matrixed reporting lines
Drives a product-led approach to data, with clear ownership, published standards, and consumers treated as customers
Strong executive communication skills, including the ability to make the business case for foundational data investment
Maintains compliance and control discipline
Credible senior technology presence in-region, able to represent JPMC externally with regulators, universities, and partners

Required Qualifications, Capabilities, and Skills
10+ years 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: pipelines, modelling, storage, and serving, with accountability for freshness, correctness, and availability
Demonstrated experience establishing data governance in practice: ownership models, data contracts, data quality measurement, lineage, and schema evolution
Strong hands-on engineering foundation (Python, SQL, APIs, streaming and batch pipelines, modern data stores) and the judgment to hold a high engineering bar
Proven track record adopting agentic AI and LLM-driven capability in production engineering environments, and preparing data estates for AI consumption
Experience operating within formal risk and control frameworks: audit engagement, evidence quality standards, and remediation governance
Proven ability to scale teams and drive adoption of common data standards across partner teams
Strong global collaboration skills across distributed, matrixed organizations
Prior site, country, or regional engineering hub leadership experience
BS/BA degree or equivalent practical experience in technology, engineering, or a related discipline

Preferred Qualifications, Capabilities, and Skills
Infrastructure or network domain experience: inventory, topology, configuration, and telemetry data. A strong plus, not a gate
Experience with source-of-truth platforms, or graph and topology data models
Experience with streaming telemetry and time-series data at scale
Financial services or other regulated environment experience
Experience supporting automation and reliability engineering teams as primary data consumers
Demonstrated use of AI to redesign data engineering workflows for measurable impact, and to build organizational AI fluency
Demonstrated experience in incident, problem, and change governance, including executive communications during high-severity events

Team Scope

Direct Org: 25 engineers (network data engineering), globally distributed
Growth aligned to the Network Services data platform build-out
Partnership: strong partnership with the automation platform and SRE teams, global Product Engineering, firm-wide data governance and data quality programmes, and regional Infrastructure leadership
Regional (matrix): site leadership for all IP Foundational Services engineers in Argentina

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Drive innovation and data engineering solutions, lead a technical area, and serve as a primary decision maker for your teams

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