AI-Fluent Engineering Manager - Data Foundations Platform

Pearson; Oklahoma City (OK); On-site; USD 150,000 - 190,000; Full time

Job summary

Pearson is modernizing its data foundations platform to enable analytics, operational reporting, interoperability, and AI-enabled product capabilities. This role leads the engineering execution to transition from legacy .NET/SQL Server to React/TypeScript on AWS, with a focus on guardrails and release gates for safety and reliability.

You will guide a cross-functional team across Product, Data Engineering, Security, DevOps, and vendor teams, steering roadmaps, migrations, and governance to

Qualifications

• Experience leading engineers delivering AI-enabled capabilities.
• Experience with legacy and target platforms and data migrations.
• Ability to manage across time zones and regulated environments.
• K-12 FERPA exposure is an advantage.

Responsibilities

• Own planning, prioritization, and delivery commitments for your team and the operating rhythm.
• Allocate people to work, manage escalations, and resolve blockers quickly.
• Hire against our AI-fluent bar and maintain it when the pipeline is thin.
• Ensure guardrails, human-in-the-loop fallback, escalation, and disclosure are designed in.
• Monitor reliability, model performance, and drift against thresholds.
• Lead engineering delivery for Data Foundations: roadmap, platform readiness, migration sequencing, cutover planning, and cross-team coordination.
• Set expectations for data contracts, quality gates, lineage, observability, access controls, and operational readiness.
• Partner with Product, Data Engineering, Security, DevOps, and vendor teams to align priorities and protect continuity.

Skills

Learning to Learn

Information Security

Problem Solving

Technical Acumen

API Management

Cloud Computing

Data Security

DevOps

Ethical Responsibility

Resilience Planning

Software Design

AI Agents

Automated Artificial Intelligence

Generative AI

Evaluation of AI-Generated Content

Performance Management

Measuring AI Tooling Adoption

Reusable Tooling & Evaluation

Data Foundation Oversight

Reliability & Observability

Education

Relevant degree or equivalent practical experience

Job description

Pearson is modernizing its data foundations platform to enable analytics, operational reporting, interoperability, and AI-enabled product capabilities. This role leads the engineering execution to transition from legacy .NET/SQL Server to React/TypeScript on AWS, with a focus on guardrails and release gates for safety and reliability.

You will guide a cross-functional team across Product, Data Engineering, Security, DevOps, and vendor teams, steering roadmaps, migrations, and governance to