Network Data Engineering Director - Buenos Aires Site Lead

JPMorganChase; Municipio de Rincón de los Sauces; Presencial; ARS 335.274.000 - 457.192.000; Jornada completa

Descripción de la vacante

J.P. Morgan seeks an Executive Director, Data Engineering to lead the network data platform and governance across a 25‑person team. You will drive strategy from sourcing to serving, partnering with SRE, automation, and product engineering to deliver trusted data at scale.

You will also serve as Argentina's Regional Lead for Infrastructure Platform Foundational Services, shaping site strategy, talent development, and cross‑functional collaboration to align with global priorities.

Formación

• 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

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 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
• 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

Conocimientos

Data platform engineering

Data governance

Leadership (manager-of-managers)

Python

SQL

APIs (data serving)

Streaming data pipelines

AI readiness

Security/compliance

Executive communication

Educación

BS/BA or equivalent in technology/engineering

Descripción del empleo

J.P. Morgan seeks an Executive Director, Data Engineering to lead the network data platform and governance across a 25‑person team. You will drive strategy from sourcing to serving, partnering with SRE, automation, and product engineering to deliver trusted data at scale.

You will also serve as Argentina's Regional Lead for Infrastructure Platform Foundational Services, shaping site strategy, talent development, and cross‑functional collaboration to align with global priorities.