AI System Readiness

๐Ÿข Shyft6 ยท all Shyft6 jobs
๐Ÿ“ United States
๐Ÿ“… Posted 2026-07-13 ยท via Himalayas
๐Ÿท AI-Operations,Technical-Program-Management,Cloud-Operations,AI-ML-Management,DevOps,AI-Systems,AI-Systems-Testing,AI-Systems-Leadership,AI-Systems-Design,AI-Systems-Engineering
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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

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