AI Operations Strategist

PineQ Lab Technology; Rosemead (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

PineQ Lab Technology is seeking a senior leader to drive enterprise technology strategy, AIOps, and cloud operations transformation. You will define operating models, governance frameworks, and capability roadmaps, delivering transformation programs across multi-provider environments.

The role requires strong executive communication, stakeholder management, and deep understanding of FinOps and observability. Experience with AI lifecycle governance and enterprise AI platforms is a plus.

Qualifications

• Ten-plus years in enterprise technology strategy or related disciplines.
• Experience defining enterprise strategies, operating models, governance, roadmaps, and transformation programs.
• Strong understanding of AI/ML operations, MLOps, model observability, reliability, telemetry and service management.
• Strong understanding of FinOps, cloud economics, AI consumption models, cost allocation, forecasting and value optimization.
• Ability translate technology/operational/financial insights into executive-level strategic recommendations.

Skills

Enterprise strategy

IT operations transformation

AIOps

SRE

Cloud operations

Observability

FinOps principles

Executive communication

Stakeholder management

Bachelor's degree in a related field

Education

Bachelors degree in CS/IT/Engineering/Data Science/Business Tech

Tools

Azure

Google Cloud Platform

Dynatrace

Splunk

Datadog

Arize.AI

Job description

• 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.