AI Operations Strategist

10+ years of experience across enterprise technology strategy, IT operations transformation, AIOps, SRE, cloud operations, observability or related disciplines. Demonstrated experience defining enterprise strategies, operating models, governance frameworks, capability roadmaps and transformation programs. Strong understanding of AI/ML operations, MLOps, model observability, reliability, telemetry and service management. Strong understanding of FinOps principles, cloud economics, AI consumption models, cost allocation, forecasting and value optimization. Experience translating technology, operational and financial insights into executive-level strategic recommendations. Knowledge of enterprise cloud and AI ecosystems, including Microsoft Azure and Google Cloud Platform. Knowledge of ITSM/ITIL, SRE, SLA/SLO/XLA, incident/problem management and operational resilience principles. Strong strategic thinking, executive communication, facilitation and stakeholder-management capabilities. Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, Business Technology or a related discipline. Preferred Qualifications Experience defining enterprise AI operating models or AI transformation strategies in a complex, multi-provider environment. Knowledge of leading AIOps and observability ecosystems such as Dynatrace, Splunk, Datadog, Arize.AI, Azure AI, GCP Vertex AI or equivalent platforms. FinOps, ITIL4, Cloud, AI/ML, SRE or enterprise architecture certification. Familiarity with Agentic AI, enterprise AI platforms, MLOps, Responsible AI and AI lifecycle governance. Experience developing executive transformation roadmaps and portfolio-level value-realization frameworks. Utility or energy-sector experience is preferred. #J-18808-Ljbffr PineQ Lab Technology