AI-Driven Data Foundations Engineering Manager

Pearson; Providence (RI); Presencial; USD 150.000 - 230.000; Jornada completa

Descripción de la vacante

Pearson is modernizing its data foundation platform to support AI-enabled capabilities while ensuring continuity for current consumers. You will lead engineering execution across legacy and modern stacks, from .NET WebForms to React/TypeScript SPAs on AWS, with strong emphasis on guardrails, disclosure, and evaluation of AI behavior.

The role requires coaching engineers, aligning with product and security teams, and driving quality gates and governance across data contracts and observability.

Formación

• 4+ years managing engineers who ship to production, including hiring, performance, and development.
• Working engineering background credible with engineers at AI-fluent bar.
• Experience delivering model-backed or agentic capability to real users and monitoring post-release.
• Experience holding a quality gate under delivery pressure.
• Familiarity with delivering across legacy and target platforms with ongoing shipping.
• Comfortable coordinating distributed teams across time zones and documenting decisions.

Responsabilidades

• Own planning, prioritization, and delivery commitments for your team and its rhythm.
• Allocate people, manage escalations, and remove blockers quickly and transparently.
• Land process improvements and govern AI-enabled surface guardrails and disclosure.
• Lead data foundation delivery including roadmap, migration sequencing, and dependency management.
• Partner with Product, Security, Compliance, DevOps, and vendor teams to protect continuity.

Conocimientos

Leadership

AI Fluent Engineering

Technical Acumen

Problem Solving

Information Security

Educación

Relevant degree or equivalent practical experience

Herramientas

AWS

DevOps

API Management

Descripción del empleo

Pearson is modernizing its data foundation platform to support AI-enabled capabilities while ensuring continuity for current consumers. You will lead engineering execution across legacy and modern stacks, from .NET WebForms to React/TypeScript SPAs on AWS, with strong emphasis on guardrails, disclosure, and evaluation of AI behavior.

The role requires coaching engineers, aligning with product and security teams, and driving quality gates and governance across data contracts and observability.