AI Enablement & Adoption Manager

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 (, 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 (, 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