AI System Readiness

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