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
.

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