AI-Driven Engineering Manager – Data Foundations Platform

Pearson; Springfield (IL); On-site; USD 140,000 - 190,000; Full time

Job summary

Pearson is seeking an engineering leader to drive Data Foundations modernization, ensuring continuity for current consumers while enabling AI-enabled capabilities. You will oversee platform readiness, data contracts, and cross-functional collaboration with Product, Security, and DevOps teams.

The role requires managing engineers across time zones, maintaining quality gates, and delivering reliable, observable data services that support analytics and future AI-enabled product capabilities.

Qualifications

• 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 how it was evaluated before release and monitored afterward.
• Comfortable managing a distributed team across time zones, with the written discipline that requires.
• Experience in regulated or privacy-sensitive environments; K-12 and FERPA exposure an advantage.

Responsibilities

• Lead the engineering delivery for Data Foundations, including roadmap execution and platform readiness.
• Coordinate migration sequencing, cutover planning, and dependency management across teams and partner groups.
• Set expectations for data contracts, quality gates, lineage, observability, and access controls.

Skills

AI-fluent engineering

Learning to Learn

Information Security

Problem Solving

Technical Acumen

Education

Bachelor's degree or equivalent

Tools

Cloud Computing

DevOps

APIs

Job description

Pearson is seeking an engineering leader to drive Data Foundations modernization, ensuring continuity for current consumers while enabling AI-enabled capabilities. You will oversee platform readiness, data contracts, and cross-functional collaboration with Product, Security, and DevOps teams.

The role requires managing engineers across time zones, maintaining quality gates, and delivering reliable, observable data services that support analytics and future AI-enabled product capabilities.