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AI Adoption & Enablement Manager

  • Source: LinkedIn
  • Navsan
  • $21,006.13 to $26,257.66 /yr
  • On-site
  • Hyderabad
  • Full-Time
  • Senior

Job Description

Experience & Qualifications

Required

  • 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 / 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.

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 c…

Skills

  • chatgpt
  • microsoft-power-automate
  • microsoft-power-platform
  • create-lms

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