AI Adoption Lead

AvePoint•Jersey City, NJ

6h•Hybrid

About The Position

Beyond Secure. AvePoint is the global leader in data security, governance, and resilience, going beyond traditional solutions to ensure a robust data foundation and enable organizations everywhere to collaborate with confidence. Over 25,000 customers worldwide rely on the AvePoint Confidence Platform to prepare, secure, and optimize their critical data across Microsoft, Google, Salesforce, and other collaboration environments. AvePoint’s global channel partner program includes approximately 5,000 managed service providers, value-added resellers, and systems integrators, with our solutions available in more than 100 cloud marketplaces. To learn more, visit www.avepoint.com. At AvePoint, we are committed to investing in our people. Agility, passion and teamwork set us up to do our best work and foster a culture where you are empowered to craft your career, make an impact, and own (y)our future. Unleash the power of you! Overview We are seeking a dynamic and forward-thinking AI Adoption Lead to join our AI team. This hybrid role is designed for a strategic thinker who thrives at the intersection of business process analysis and cutting-edge AI enablement. You will play a pivotal role in identifying high-impact opportunities for AI integration and leading the internal adoption of technologies such as Microsoft 365 Copilot, Copilot Studio, and Gemini Enterprise. This role is split 50/50 between traditional business analysis and internal AI evangelism. You will work closely with cross-functional teams and executive leadership to drive AI literacy, promote the “art of the possible,” and ensure AI tools are embedded into everyday workflows to unlock productivity and innovation at scale. You will collaborate closely with the AI Team developers responsible for building solutions on top of Copilot Studio, Microsoft Agent Framework, and Gemini Enterprise to ensure seamless implementation and integration.

Requirements

5+ years of experience in business analysis, digital transformation, or technology enablement roles.
Proven experience with business process mapping, requirements gathering, and stakeholder engagement.
Strong understanding of AI technologies, including generative AI, LLMs, and tools like Microsoft 365 Copilot, Copilot Studio, and/or Gemini Enterprise.
Experience designing and delivering training or change management programs.
Excellent communication and facilitation skills; ability to translate complex technical concepts into accessible language.
Comfortable engaging with all levels of the organization, including C-suite executives.
Bachelor’s degree in Business, Computer Science, Information Systems, or a related field.

Nice To Haves

Experience with prompt engineering, AI governance, or AI literacy initiatives.
Familiarity with Microsoft 365 ecosystem (SharePoint, Teams, Power Platform) and M365 admin tools.
Background in organizational change management or enterprise training.
Experience working with AI analytics dashboards (e.g., Copilot Analytics) to track adoption and impact.

Responsibilities

Analyze current business processes and identify opportunities for AI-driven optimization and automation.
Lead requirements gathering sessions and develop “As-Is” and “To-Be” process documentation.
Translate business needs into functional specifications for AI solutions and integrations.
Collaborate with the rest of the AI Team to ensure technical feasibility and alignment with enterprise architecture.
Support project planning, scoping, and delivery of AI-enabled solutions.
Champion the internal adoption of AI tools (e.g., M365 Copilot, Copilot Studio, Gemini Enterprise) across business units.
Design and deliver engaging training programs, workshops, and enablement materials (videos, guides, demos).
Partner with executive leadership to promote top-down AI adoption strategies and cultural change.
Act as a subject matter expert and first-line support for AI tools, addressing user questions and feedback.
Monitor adoption metrics and identify blockers.
Surface and prioritize high-value AI use cases and contribute to the internal AI roadmap.
Foster a community of AI champions and internal advocates to scale adoption efforts.