AI Operations Strategist
Core
Define and evolve enterprise AIOps vision, operating models, governance frameworks, and multi-year roadmaps to enable reliable, observable, and cost-effective AI operations.
Role type
Senior strategy-level AI Operations Strategist
Builds
Enterprise AI operating models, governance standards, cost allocation frameworks, and strategic roadmaps for AI/ML operations
Domain
Enterprise Technology Strategy, Cloud Operations, AI/ML Operations (AIOps/MLOps), FinOps
Deliverable
production ML models
Required skills
Enterprise technology strategy, AIOps, SRE, cloud operations, observability, MLOps, model observability, FinOps, cloud economics, executive communication, stakeholder management
Preferred skills
Enterprise AI operating model definition, AIOps/observability platforms (Dynatrace, Splunk, Datadog, Arize.AI), FinOps/ITIL4/Cloud/AI/ML/SRE certifications, Agentic AI, enterprise AI platforms, AI lifecycle governance, executive transformation roadmaps
Technologies
Agentic AI, Azure, GCP, Datadog, Dynatrace, Splunk, Arize.AI, Azure AI, GCP Vertex AI
Responsibilities
Define enterprise AIOps vision, strategic principles, and target-state capabilities; Assess operational maturity and recommend investments for predictive operations and automated remediation; Develop AI observability and telemetry frameworks with enterprise KPIs/KRIs; Define and govern AI FinOps strategy including cost transparency and allocation models; Establish AI Operations governance, decision rights, and production-readiness criteria; Coordinate alignment across AI, architecture, cybersecurity, finance, and delivery stakeholders; Create frameworks for measuring AI operational value, reliability, and ROI; Provide strategic implementation oversight while delivery teams execute tool configuration and monitoring.
