AI Adoption & Enablement Manager (Part Time)

Required Qualification 12+ years of professional experience. Meaningful experience in Finance Operations, Business Operations, Shared Services, Global Business Services, BPO or a comparable operational environment. Strong understanding of administrative and transactional finance processes; experience across areas such as AP, AR, billing, collections, cash application, reconciliations and reporting is highly desirable. Strong hands‑on experience using Generative AI tools, particularly Microsoft Copilot and ChatGPT, in a business environment. Demonstrated ability to identify practical AI use cases and translate technology into improvements in day‑to‑day work. Strong training, facilitation, coaching, presentation and stakeholder‑engagement capabilities. Experience working with global and geographically distributed teams. Excellent written and verbal English communication skills. Ability and willingness to work flexible shifts when required to engage teams across global time zones. Ability to work independently and effectively in a remote / work‑from‑home environment. Preferred Qualification Preferred / Advantageous Experience leading technology adoption, change management, process improvement or transformation initiatives. Experience in a global shared‑services, professional‑services, insurance, financial‑services or business‑services organization. Knowledge of Microsoft Copilot Studio, Power Automate or Power Platform. Understanding of AI agents and workflow automation. Lean, Six Sigma, process‑improvement or change‑management experience/certification. Experience developing learning programs, communities of practice or champion networks. Understanding of responsible AI, data security and appropriate enterprise use of Generative AI. Ideal Candidate Profile Passionate and genuinely curious about Generative AI and how it can transform work. A sophisticated hands‑on user of ChatGPT, Copilot and related tools – not someone whose knowledge is primarily theoretical. Understands business processes and operational realities, not just technology. Can quickly understand someone’s work and identify realistic opportunities where AI can help. Can turn complex AI capabilities into simple, compelling and practical examples. An excellent presenter, facilitator and coach who can engage both frontline employees and senior executives. Comfortable influencing people without direct authority. Commercially minded and focused on measurable outcomes. Self‑motivated, adaptable and effective in a remote, global working environment. Continuously experiments, learns and stays current as AI capabilities evolve. Key Responsibilities 1. AI Adoption & Practical Enablement Lead practical adoption of Microsoft Copilot, ChatGPT and other approved Generative AI tools across global teams. Deliver engaging, hands‑on workshops, demonstrations, learning sessions, office hours and individual coaching. Teach employees how to use AI effectively for their actual work rather than relying on generic AI examples. Develop role‑based prompting techniques, reusable prompts, templates, workflows and practical guidance. Help employees progress from basic AI usage to integrating AI into their normal day‑to‑day work. Make Generative AI understandable and accessible to employees with different levels of technical proficiency. 2. Finance, Operations & Shared Services Use Cases Work directly with business teams to identify and implement practical AI opportunities across activities such as: Accounts Payable and invoice‑related activities Accounts Receivable, collections and cash application Billing and invoicing Reconciliations and data validation Financial and operational reporting Administrative and shared‑services activities Email drafting, summarization and communication management Meeting preparation, notes and follow‑up actions Research, information synthesis and document review Standard operating procedures, process documentation and knowledge management Process analysis, root‑cause analysis and continuous improvement The individual must understand the underlying process and business objective before recommending an AI solution. 3. Use-Case Discovery & Scaling Partner with teams to discover high‑value AI opportunities and prioritize them based on practicality and business impact. Convert business problems into practical Copilot, ChatGPT or AI‑enabled approaches that employees can use themselves. Build and maintain a reusable library of proven AI use cases, prompts, playbooks and examples. Develop function‑specific AI playbooks for Finance, Operations, Shared Services and other corporate functions. Identify successful practices in one team or region and scale them across the global organization. Partner with technology or automation teams when a use case requires a more advanced solution, workflow or agent. 4. Global Engagement & Facilitation Work with employees and leaders across North America, Europe, Asia and other regions. Operate flexibly across shifts and time zones to support a global workforce. Build credibility with both operational employees and senior business leaders. Adapt communication, examples and facilitation style for different cultures, functions and levels of AI maturity. Create and support a global network of AI champions or power users who can reinforce adoption locally. Communicate AI concepts in simple business language and inspire employees to experiment responsibly. 5. Change Management & Continuous Improvement Drive behavioral change so that employees move from learning about AI to consistently using it to improve their work. Identify barriers to adoption and develop practical interventions to address them. Create communications, learning journeys and engagement activities that sustain adoption. Capture and communicate success stories that demonstrate tangible business value. Bring a continuous‑improvement mindset and challenge traditional ways of working where AI can provide a better approach. 6. Measurement & Business Impact Success will be measured by business outcomes, not simply the number of training sessions delivered. The role will establish and track measures such as: AI adoption and active usage Employee proficiency and confidence Number of practical use cases implemented Hours of work or capacity saved Reduction in repetitive/manual activities Productivity, quality or cycle‑time improvements Use cases successfully replicated across teams or regions Employee and stakeholder feedback Documented examples of measurable changes in how work is performed #J-18808-Ljbffr Navsan