Director, Enterprise AI Automation – Transformation

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🔥 0 minutes ago

💃 Latin America – Remote

⏰ Full Time

🔴 Lead

🤖 Artificial Intelligence

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Women in Aviation International

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 1994

💼 Consulting

📦 Logistics

🚀 Aerospace

Consulting • Logistics • Aerospace

Women in Aviation International is the largest nonprofit in the world dedicated to increasing the number of women in all areas of aviation. It provides a platform for networking, mentorship, and professional development through events like the annual Women in Aviation International Conference. The organization offers scholarships, educational resources, and community chapters to support women pursuing careers in aviation and aerospace. With over 20,000 members, it aims to inspire and empower women of all ages to excel in these fields.

📋 Description

• Lead WAI's AI automation program, including use-case intake, prioritization, roadmap development, governance routines, adoption planning, and ROI tracking • Partner with leaders across Finance, Customer Service, Supply Chain, Sales Support, Operations, HR, Product/Catalog, Shared Services, and other functions to identify high-value AI and automation opportunities • Create and maintain a repeatable AI automation operating model, including intake templates, value/feasibility scoring, process readiness criteria, solution design standards, testing expectations, rollout plans, and benefit measurement • Lead discovery workshops, process reviews, and current-state/future-state workflow design sessions • Prioritize opportunities based on business value, feasibility, risk, data readiness, change impact, scalability, and company priorities • Coordinate with IT leadership and technical AI resources on architecture, data access, security, integration, production readiness, monitoring, and support • Define business requirements, acceptance criteria, controls, approval steps, escalation paths, and human-in-the-loop expectations • Oversee business-facing AI Automation Engineers, project contributors, vendors, and remote technical resources • Facilitate an AI governance or review forum to evaluate use cases, monitor risk and ROI, remove duplication, and sequence work across departments • Support AI literacy, power-user enablement, training, change management, and adoption activities • Track adoption, performance, quality, productivity impact, cost avoidance, service improvement, and realized ROI • Stay current on AI automation, agentic AI, enterprise workflow platforms, human-in-the-loop design, governance practices, and relevant market practices • Support or manage AI automation program budget planning, vendor estimates, project prioritization, and resource allocation • Supervise AI Automation Managers, AI Automation Engineers, project contributors, or other resources as the program scales • Coordinate work across multiple departments, business units, regions, and remote or international delivery resources • Undertake additional responsibilities and tasks as directed by management

🎯 Requirements

• Bachelor's degree in Business Administration, Operations, Engineering, Information Systems, Computer Science, Data Analytics, or a related field required • 10+ years of experience in business transformation, process improvement, operations, automation, product management, consulting, enterprise technology-enabled change, or related work • Demonstrated experience leading or scaling AI-enabled automation, intelligent workflow, or agentic AI initiatives in an enterprise environment, with measurable productivity, quality, or efficiency outcomes required • Experience leading cross-functional initiatives with senior business stakeholders and measurable operational outcomes • Experience building or scaling a new capability, program office, transformation function, automation program, digital initiative, or enterprise productivity program • Experience with broader workflow automation, digital transformation, and enterprise productivity tooling preferred • Experience coordinating technical teams, IT partners, vendors, offshore/remote delivery resources, or implementation partners preferred • Experience in automotive aftermarket, manufacturing, distribution, retail, shared services, supply chain, finance, or other operationally complex businesses preferred • Strong communication, facilitation, executive presentation, stakeholder management, and change-management skills • Ability to create business cases, roadmaps, project plans, process maps, use-case documentation, adoption plans, and ROI tracking summaries • Working fluency with AI automation concepts, including AI agents, workflow orchestration, knowledge retrieval, prompting, human-in-the-loop design, testing, monitoring, and governance required • Familiarity with ERP, CRM, customer service platforms, collaboration tools, knowledge repositories, reporting tools, and workflow systems • Ability to partner with technical teams on data access, security, architecture, integrations, production release, and support models • Proficiency with Microsoft Office Suite • English fluency required; additional languages are a plus based on business needs • No specific license required • Certifications in project management, Lean/Six Sigma, product management, business process management, data analytics, AI, automation tools, or change management preferred • Up to 10–20% travel may be required, including domestic locations and occasional international coordination

🏖️ Benefits

• Fully remote work arrangement • Up to 10–20% travel may be required for business meetings, site visits, workshops, project discovery, training, governance meetings, or implementation support • Opportunity to lead and scale an enterprise AI automation capability • Management and supervisory responsibility as the program scales • Professional development and enablement through AI literacy, power-user training, change management, and adoption activities