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Vertivvertiv.com

AI Enablement & Adoption Manager

Manila, Manila, PhilippinesFull-time9h ago

AI Enablement & Adoption

The role is responsible for identifying, piloting, and embedding practical AI solutions into existing business processes. The role focuses on hands-on delivery, early wins, and building foundational AI capability across the organization with cross-functional collaboration.
 

Key Responsibilities:

AI Use-Case Delivery

  • Identify high-impact, low-complexity AI use cases across the various functions in the organization
  • Work with IT and relevant business functions to identify and enable required AI tools / technologies for application
  • Design, prototype, and deploy AI-enabled tools and workflows
  • Integrate AI into existing systems and processes

Adoption & Enablement

  • Embed AI into daily workflows
  • Deliver practical training to drive adoption
  • Act as an internal advisor on effective AI usage

Foundations & Guardrails

  • Establish lightweight AI usage guidelines (data handling, accuracy, risk awareness)
  • Document playbooks and reusable patterns
  • Identify risks and limitations early

Stakeholder Collaboration

  • Partner with Sales Operations, Business Transformation, IT, and other teams
  • Escalate blockers and dependencies
  • Contribute to longer-term AI roadmap development

Requirements:

  • At least 10 years of total work experience of which 3 years are in the area of AI deployment, enablement, and adoption (with proven track record on it); rest of work experience on related or adjacent fields like automation, analytics, digital transformation, etc.)
  • Strong business acumen
  • Structured problem solving
  • Change management and adoption
  • Project and program management
  • Practical experience with generative AI tools (e.g., large language models, AI copilots)
  • Strong prompt engineering and workflow design skills
  • Experience using no-code / low-code automation platforms
  • Ability to integrate AI tools with existing systems (CRM, reporting, ticketing)
  • Working knowledge of APIs and basic scripting (e.g., Python or similar)
  • Understanding of data concepts such as data quality, privacy, and access controls
  • Ability to evaluate AI tools and vendors based on business fit and risk