AI-Driven Data Foundations Engineering Manager

Pearson; Olympia (WA); On-site; USD 180,000 - 240,000; Full time

Job summary

Pearson is hiring for an Engineering Manager to lead Data Foundations, modernizing a data platform while ensuring continuity for current users. You'll oversee cross-functional teams and drive AI-enabled capabilities with a strong emphasis on governance, quality, and reliability.

You will collaborate with Product, Security, and DevOps to align modernization priorities, manage migrations, and protect data contracts, with focus on observability and responsible release practices.

Qualifications

• 4+ years managing engineers who ship to production.
• Experience reviewing technical decisions and credibility with AI-fluent engineers.
• Experience delivering model-backed or agentic capabilities to real users and monitoring post-release.

Responsibilities

• Lead the engineering delivery for Data Foundations, including roadmap execution, platform readiness, migration sequencing, and cutover planning.
• Set expectations for data contracts, quality gates, lineage, observability, access controls, and operational readiness across data domains.
• Partner with Product, Data Engineering, Data Analytics, Solution Architecture, Security, Compliance, DevOps, and vendor teams to align priorities and protect continuity during modernization.
• Coach capability and run performance and development conversations on a rhythm, not only at review time.
• Build reusable tooling and evaluation suites that other teams adopt.

Skills

Learning to Learn

Information Security

Problem Solving

Technical Acumen

Job description

Pearson is hiring for an Engineering Manager to lead Data Foundations, modernizing a data platform while ensuring continuity for current users. You'll oversee cross-functional teams and drive AI-enabled capabilities with a strong emphasis on governance, quality, and reliability.

You will collaborate with Product, Security, and DevOps to align modernization priorities, manage migrations, and protect data contracts, with focus on observability and responsible release practices.