AI Enablement & Adoption Manager

Job description

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