AI Enablement & Adoption Manager at Vertiv – Mandaluyong City | Jobyssey

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

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