AI-Driven Engineering Manager, Data Foundations

Pearson; Carson City (NV); In loco; USD 140.000 - 190.000; Tempo pieno

Descrizione del lavoro

Pearson is seeking an engineering manager to lead Data Foundations modernization, overseeing legacy .NET to modern .NET REST services on AWS. You will own release gates, guardrails, and evaluation sets for AI-enabled capabilities, coordinating with product, Data Engineering, Security, and DevOps.

You will coach engineers, manage distributed teams across time zones, and ensure quality and observability. The role emphasizes roadmap execution, migration sequencing, and partnership to protect

Competenze

• 4+ years managing engineers who ship to production, including hiring, performance, and development.
• Experience delivering a model-backed or agentic capability to real users, including evaluation before release and monitoring afterward.
• Experience managing across a legacy and a target platform while continuing to ship on both.
• Comfortable managing a distributed team across time zones, with strong written discipline.

Mansioni

• Own planning, prioritization, and delivery commitments for your team and operating rhythm.
• Allocate people to work, manage escalations, and resolve blockers quickly and transparently.
• Recommend and land process improvements rather than escalating friction.
• Hire against our AI-fluent engineering bar and maintain it when the pipeline is thin.
• Treat every product surface as capable of agentic behavior and ensure guardrails and disclosure are designed in from the start.
• Oversee data foundations delivery including roadmap execution, platform readiness, migration sequencing, and dependency management.

Conoscenze

Learning to Learn

Information Security

Problem Solving

Technical Acumen

Formazione

Relevant degree or equivalent practical experience

Descrizione del lavoro

Pearson is seeking an engineering manager to lead Data Foundations modernization, overseeing legacy .NET to modern .NET REST services on AWS. You will own release gates, guardrails, and evaluation sets for AI-enabled capabilities, coordinating with product, Data Engineering, Security, and DevOps.

You will coach engineers, manage distributed teams across time zones, and ensure quality and observability. The role emphasizes roadmap execution, migration sequencing, and partnership to protect