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