Senior Engineering Manager — AI-Driven Data Platforms

JPMorganChase

Glasgow

On-site

GBP 120,000 - 170,000

Full time

21 hours ago
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Job summary

JPMorgan Chase, a global financial leader, seeks a Senior Manager of Software Engineering within Corporate Technology to coach multiple teams and shape technical direction, budgets and designs.

You will drive AI-enabled engineering practices, oversee SDLC automation, ensure secure data handling, and deliver data‑intensive applications using cloud-native platforms.

Collaborate with stakeholders, meet compliance standards, and guide teams to align with business objectives across the firm.

Qualifications

  • Proven end-to-end delivery of data products using Python and Spark.
  • Experience building data-intensive software applications.
  • Experience managing technologists and teams.
  • Leadership in responsible AI adoption across engineering teams.
  • Understanding of governance, resiliency and security in AI-enabled workflows.
  • Strong SDLC knowledge and agile practices (CI/CD, security, resiliency).
  • Experience in cloud-native architectures within financial services.

Responsibilities

  • Provides guidance to the software engineers on daily tasks and outputs.
  • Sets expectations for team output, practices, and collaboration.
  • Leads adoption of enterprise AI-assisted engineering to improve delivery speed and quality.
  • Uses SDLC/toolchain knowledge to enhance automation and capacity initiatives.
  • Anticipates dependencies with other teams to deliver products aligned with business needs.
  • Manages stakeholder relationships within compliance and SLAs.

Skills

Python
Spark
Databricks
Data-intensive apps
People management
Responsible AI
SDLC
CI/CD
Security
Cloud native
Financial services domain

Job description

JPMorgan Chase, a global financial leader, seeks a Senior Manager of Software Engineering within Corporate Technology to coach multiple teams and shape technical direction, budgets and designs.

You will drive AI-enabled engineering practices, oversee SDLC automation, ensure secure data handling, and deliver data‑intensive applications using cloud-native platforms.

Collaborate with stakeholders, meet compliance standards, and guide teams to align with business objectives across the firm.

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