AI System Readiness
# AI System Readiness **Shyft6** · United States · `Remote` · `Full Time` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Technical-Program-Manager]` `[AI-Operations]` `[Cloud-Operations]` `[AI-ML-Management]` `[DevOps]` `[AI-Readiness]` `[AI-Readiness-Specialist]` `[AI-Systems]` `[AI-Systems-Testing]` `[AI-Systems-Performance]` `[AI-System-Integration]` `[AI-Systems-Management]` `[AI-Systems-Design]` --- ### About the Role This is a remote position. AI System Readiness We are seeking an AI System Readiness Leader to lead the strategy and execution for deploying, operationalizing, and scaling AI-driven solutions across client environments. This role is responsible for ensuring that AI applications, data platforms, and supporting systems are fully validated, production-ready, and successfully adopted . This leader will work across engineering, data, QA, product, and client teams to drive readiness initiatives for solutions built on AWS, Azure, Tableau, Power BI, and DealCloud CRM . Key Responsibilities - Define and lead the AI system readiness strategy , ensuring solutions are prepared for successful deployment and adoption - Oversee end-to-end readiness activities , including: - Pre-production validation - Go-live planning and execution - Post-deployment stabilization - Establish frameworks for AI solution validation , including performance, accuracy, scalability, and business alignment - Drive cross-functional coordination across engineering, QA, data, and product teams - Ensure readiness of data pipelines, reporting layers (Tableau, Power BI), and CRM integrations (DealCloud) - Lead risk management and mitigation strategies for AI deployments, including data quality, model performance, and operational risks - Develop and implement governance models for AI solutions, including monitoring, compliance, and auditability - Partner with client stakeholders to ensure business readiness, adoption, and value realization - Oversee development of runbooks, operational processes, and support transition plans - Define and track KPIs and success metrics related to system readiness and adoption - Build and lead a team responsible for readiness, rollout, and stabilization activities Requirements Required Qualifications - 12+ years of experience in technology leadership roles (e.g., program management, delivery, operations, or architecture) - Proven experience leading large-scale system implementations or digital transformations - Strong experience with cloud platforms (AWS and/or Azure) - Experience working with data platforms, analytics tools, and reporting systems - Demonstrated ability to lead cross-functional initiatives across engineering, QA, and business teams - Strong understanding of software delivery lifecycle, production readiness, and deployment processes - Experience working directly with clients or executive stakeholders - Strong leadership, communication, and organizational skills Key Traits for Success - Executive-level leadership with the ability to drive alignment across multiple teams - Strategic thinker who can also execute and operationalize complex initiatives - Strong client presence and ability to influence stakeholders - Highly organized with a focus on delivery, quality, and outcomes - Comfortable operating in a fast-paced, evolving AI environment Originally posted on Himalayas
- Technical-Program-Manager
- AI-Operations
- Cloud-Operations
- AI-ML-Management
- DevOps
- AI-Readiness
- AI-Readiness-Specialist
- AI-Systems
- AI-Systems-Testing
- AI-Systems-Performance
- AI-System-Integration
- AI-Systems-Management
- AI-Systems-Design
Наблюдалась 2026-10-12, впервые 2026-10-12, источник — Himalayas (JSON API).