This is a remote position.
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 .
- Define and lead the AI system readiness strategy , ensuring solutions are prepared for successful deployment and adoption
- 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
- 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
- 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
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