Job description
This is a remote position.
AI System ReadinessWe 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
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.