Lead AI Platform Owner: Production Automation

Thomson Reuters; Frisco (TX); Hybrid; USD 170,000 - 240,000; Full time

Benefits offered by this job

Hybrid work model

Flex My Way

Career development

Industry benefits

Inclusive culture

Volunteer days

Impact on justice

Job summary

Thomson Reuters seeks a Lead AI Platform Owner to drive platform engineering, AI-enabled operations, and production incident leadership in a regulated environment. You will own OS builds, patching, automation, and lifecycle across the estate while guiding 1st line teams through AI-driven workflows.

You will partner with architecture, security, and vendors; champion change, document standards, and drive CSI and MTTR improvements.

Qualifications

• 5+ years in platform engineering / large-scale IT environments.
• Experience leading AI/automation initiatives in production.
• Strong change management and stakeholder alignment.
• Proven incident, problem and change management leadership.
• Automation scripting and infrastructure-as-code experience.
• Experience with governance, policy, and documentation.

Responsibilities

• Own OS builds, hardening, patching, and lifecycle across the platform estate.
• Identify AI use cases to reduce toil, triage incidents, and shorten MTTR.
• Lead change management, coaching 1st line teams, and ensure SLA protection.
• Drive solution design, cost estimation, and multi-workstream delivery plans.
• Champion CSI and continuous service improvement through automation and metrics.

Skills

Platform engineering

AI-driven operations

Change leadership

Incident management

Automation & IaC

Cross-functional collaboration

Technical mentoring

Job description

Thomson Reuters seeks a Lead AI Platform Owner to drive platform engineering, AI-enabled operations, and production incident leadership in a regulated environment. You will own OS builds, patching, automation, and lifecycle across the estate while guiding 1st line teams through AI-driven workflows.

You will partner with architecture, security, and vendors; champion change, document standards, and drive CSI and MTTR improvements.