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AI Operations Strategist

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Onsite

AI Operations Strategist

Local World

AI Operations Strategist

Skills

Google Cloud PlatformDatadogSplunkCybersecurityMachine LearningAIITILDigital TransformationAzure

20 days ago

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Important information


Contract type:

Freelance / Contract

Location:

Los Angeles County, CA, USA

Work mode:

Onsite

Published on:

6 October 2026

What they need


AI Operations Strategist

Rosemead, CA | Onsite

We are seeking an experienced AI Operations Strategist to help shape enterprise AI operations strategy within a large-scale Digital Transformation organization.

This is a strategic advisory role focused on defining the target state, operating model, governance frameworks, roadmaps, and value measures required to scale reliable, observable, cost-effective AI operations across the enterprise.

Key Responsibilities:

  • Define enterprise strategy and roadmaps for AIOps, AI observability, AI FinOps, and operational governance
  • Establish AI operations frameworks, standards, KPIs/KRIs, maturity models, and operational-readiness criteria
  • Develop strategies for AI reliability, telemetry, cost optimization, service management, and value realization
  • Partner with Enterprise Architecture, Cybersecurity, AI/ML, SRE, MLOps, ITSM, Finance, and platform teams
  • Evaluate technology capabilities and recommend target-state solutions and strategic investments
  • Translate operational, financial, and technology insights into executive-level recommendations
  • Drive cross-functional alignment around AI operations strategy, governance, roadmaps, and business value

Qualifications:

  • 10+ years in enterprise technology strategy, IT operations transformation, AIOps, SRE, cloud operations, observability, or related areas
  • Proven experience developing enterprise strategies, operating models, governance frameworks, and transformation roadmaps
  • Strong understanding of AI/ML operations, MLOps, observability, telemetry, SRE, ITSM/ITIL, and operational resilience
  • Strong knowledge of FinOps, cloud economics, cost optimization, and AI consumption models
  • Experience working with enterprise cloud ecosystems such as Azure and/or GCP
  • Strong executive communication, strategic thinking, and stakeholder-management skills
  • Bachelor's degree in a relevant technology, engineering, business, or data discipline

Experience with AI governance, Agentic AI, Responsible AI, enterprise AI platforms, Dynatrace, Splunk, Datadog, Arize, Azure AI, or GCP Vertex AI is a plus. Utility or energy-sector experience is preferred.

If you're an enterprise technology strategist who can connect AI strategy, operational resilience, observability, cost governance, and measurable business value , we'd like to hear from you.

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