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AI Operations Enablement Lead at Workana. We are looking for a hands-on professional to accelerate the adoption of AI tools such as ChatGPT and Gemini across our clients' operations teams. This role focuses on practical enablement, workflow automation, and governance—helping non-technical teams use AI safely and effectively in their day-to-day work. The ideal candidate combines strong c. ommunication skills. with n. o-code/low-code automation . expertise and a pragmatic understanding of how . AI. can improve . operational. efficiency and quality.. Experience training or enabling non-technical teams such as operations, customer service, underwriting, or processing teams. . Strong no-code/low-code automation experience (e.g., Zapier, Make, n8n), including building, testing, troubleshooting, and maintaining workflows and integrations. . Working knowledge of AI tools and practical prompting patterns, with the ability to translate business tasks into repeatable AI-assisted workflows. . Excellent communication skills, with the ability to teach, document, and drive adoption without relying on heavy technical jargon. . Familiarity with loan servicing or origination operations, or adjacent fintech operations. . Basic Python proficiency for small scripts and data tasks such as CSV transforms, validation checks, simple API usage, and regex/text parsing. . Familiarity with webhooks, simple APIs, and basic SQL for data pulls, validation, and integration troubleshooting. . Experience building internal enablement programs, including curriculum development, certifications, or knowledge bases. . Change management experience, including rollout planning, stakeholder alignment, and adoption measurement.. Responsibilities. AI Enablement & Training. Design and deliver practical AI training for Operations teams through workshops, onboarding sessions, and office hours. . Create and maintain a reusable AI playbook, including prompt patterns, use-case recipes, do/don’t guidance, and examples tailored to mortgage processing. . Coach SMEs and frontline users to apply AI effectively in daily workflows such as email drafting, document interpretation, checklist creation, exception handling, summarization, and QA support. . Workflow & Automation Execution. Identify high-impact workflows where AI and automation can reduce cycle time, improve quality, or eliminate bottlenecks. . Build and maintain no-code/low-code automations (workflow builders, integrations, data hygiene routines) with a skillset comparable to a strong CRM administrator. . Partner with SMEs to scope and deliver solutions, turning ambiguous problems into executable steps, tests, and deployed workflows. . Use basic Python for lightweight scripting (data cleanup, validation, file transforms, small utilities, and prototypes) when no-code solutions reach their limits. . Governance & Quality. Establish safe AI usage practices and guardrails, including approved tools, data-handling guidance, and reusable templates. . Define and track success metrics such as adoption, time saved, defect reduction, and SLA improvements, and report progress. . Maintain documentation including SOP updates, runbooks, workflow diagrams, and “how we do it” guides.. Company Location: Argentina.