Senior AI/ML Ops & Production Governance Lead

Lincoln Financial Group

Radnor (Delaware County)

Hybrid

USD 120,000 - 180,000

Full time

45 hours ago
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Job summary

Lincoln Financial Group is seeking a senior operations leader to define the operating model for AI/ML production, establish governance for model lifecycles, and drive monitoring, incident response, and cost visibility. The role focuses on building scalable processes, ownership, and escalation across Engineering, Ops and Governance.

You will lead change management for models, pipelines, and agents, implement robust alerting, and drive reliability through defined SLOs/SLAs and on-call rotations in

Qualifications

  • Proven track record leading operations through transformation in tech/platform/shared services.
  • Deep experience in change advisory processes, risk tiering, release governance and rollback authority.
  • Strong background in monitoring, observability, notification design and escalation.

Responsibilities

  • Define operating model for AI/ML production lifecycle from build to production.
  • Build change management for models, pipelines, and agents including approvals and rollbacks.
  • Establish ownership across Engineering, Ops, and Governance for production assets.
  • Design and implement monitoring for performance, drift, latency, quality, and safety.
  • Define SLOs/SLAs and develop on-call rotations and postmortem practices.
  • Lead the pillar's KPI definition and reporting to senior leadership.

Skills

AI/ML operations
Change management
Monitoring/Observability
Incident response
Leadership

Job description

Lincoln Financial Group is seeking a senior operations leader to define the operating model for AI/ML production, establish governance for model lifecycles, and drive monitoring, incident response, and cost visibility. The role focuses on building scalable processes, ownership, and escalation across Engineering, Ops and Governance.

You will lead change management for models, pipelines, and agents, implement robust alerting, and drive reliability through defined SLOs/SLAs and on-call rotations in

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