Global Network Data Architect & Argentina Site Lead

JPMorgan Chase & Co.; Buenos Aires; Presencial; ARS 12.000.000 - 18.000.000; Jornada completa

Descripción de la vacante

JPMorgan Chase & Co. in Buenos Aires seeks Executive Director, Data Engineering to lead a 25-engineer network data team and own the end-to-end data platform, enabling automation, observability, analytics, and AI.

This role also serves as Argentina Regional Lead for Infrastructure Platform Foundational Services, shaping site strategy and talent. You will partner with SRE, automation, and product engineering, establish data governance, SLOs, and data contracts, drive data quality, and deliver

Formación

• 10+ years in data engineering or data platform engineering, including leadership roles running data systems at scale.
• Production data platform ownership: pipelines, modelling, storage, serving with freshness and availability.
• Experience establishing data governance: ownership models, data contracts, data quality measurement, lineage, and schema evolution.
• Strong hands-on engineering foundation (Python, SQL, APIs, streaming and batch pipelines) and high engineering bar.
• Proven track record adopting agentic AI and LLM-driven capability in production environments.
• Experience operating within formal risk and control frameworks: audit engagement and remediation governance.
• Proven ability to scale teams and drive adoption of common data standards across partner teams.
• Strong global collaboration 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

Responsabilidades

• 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
• Establish 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 timePartner 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
• 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
• 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

Conocimientos

Leadership

Data platform ownership

Governance & quality

Python/SQL/APIs

AI readiness

Risk & controls

Team scaling

Global collaboration

Manager-of-managers

Educación

BS/BA in technology or engineering

Equivalent practical experience

Descripción del empleo

JPMorgan Chase & Co. in Buenos Aires seeks Executive Director, Data Engineering to lead a 25-engineer network data team and own the end-to-end data platform, enabling automation, observability, analytics, and AI.

This role also serves as Argentina Regional Lead for Infrastructure Platform Foundational Services, shaping site strategy and talent. You will partner with SRE, automation, and product engineering, establish data governance, SLOs, and data contracts, drive data quality, and deliver