AI Enablement & Adoption Manager

Reposted One Month Ago
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Mandaluyong City, Metro Manila, National Capital Region, PHL
In-Office
Expert/Leader
Hardware • Software • Analytics
The Role
Lead identification, prototyping, and deployment of high-impact AI use cases; integrate AI into systems and workflows; drive adoption via training, playbooks, and change management; establish usage guardrails; partner with IT, Sales Ops, and transformation teams to scale AI capability.
Summary Generated by Built In

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

Skills Required

  • At least 10 years of total work experience with 3 years in AI deployment, enablement, and adoption
  • Practical experience with generative AI tools (large language models, AI copilots)
  • Strong prompt engineering and AI 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
  • Change management and adoption experience
  • Project and program management experience
  • Strong business acumen and structured problem solving
  • Ability to evaluate AI tools and vendors based on business fit and risk
  • Legal authorization to work in the United States (no visa sponsorship provided)

Vertiv Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Vertiv and has not been reviewed or approved by Vertiv.

  • Healthcare Strength — Health coverage is described as comprehensive, with standard medical, dental, and vision plans plus wellness and mental-health resources. Core offerings also include disability and life insurance and an Employee Assistance Program.
  • Leave & Time Off Breadth — Time off includes paid holidays and PTO typical of large employers, and many U.S. salaried roles feature flexible or "unlimited" PTO approaches. These programs are part of a structured, global total rewards framework.
  • Fair & Transparent Compensation — Pay is considered fair at start for many office-based, engineering, and field service roles, and total compensation packages are viewed as stable. In some hourly manufacturing settings, overtime opportunities help boost overall earnings.

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The Company
HQ: Columbus, OH
8,435 Employees
Year Founded: 2016

What We Do

Vertiv (NYSE: VRT) brings together hardware, software, analytics and ongoing services to ensure its customers’ vital applications run continuously, perform optimally and grow with their business needs. Vertiv solves the most important challenges facing today’s data centers, communication networks and commercial and industrial facilities with a portfolio of power, cooling and IT infrastructure solutions and services that extends from the cloud to the edge of the network. Headquartered in Columbus, Ohio, USA, Vertiv employs approximately 20,000 people and does business in more than 130 countries. For more information, and for the latest news and content from Vertiv, visit Vertiv.com.

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