New

AI Enablement & Implementation Specialist

Full-time

Hybrid

Deadline

July 8, 2026

About the organization

HOPE_International

Hope International

Organization type

Social Impact Organization

In A Nutshell

Location

Hybrid Lancaster, PA, USA

Salary

$68,000-$73,000

Job Type

Full-time

Experience Level

Entry-level

Deadline to apply

July 8, 2026

Help design, build, and deploy AI-powered solutions (primarily within the Microsoft Copilot ecosystem) and equip staff to use them confidently and responsibly.

Responsibilities

Department Discovery & Business Process Analysis

  • Partner with department leaders and staff to map current workflows, identify inefficiencies, and surface high-value opportunities where AI can reduce manual effort, improve quality, or accelerate outcomes.
  • Translate business needs into clear technical requirements for AI solutions, serving as the bridge between non-technical staff and technology capabilities.

AI Solution Design & Implementation

  • Build and deploy practical AI solutions using Microsoft 365 Copilot, Copilot Studio (agents), Power Automate, and related tools — including custom agents, prompt libraries, and automated workflows.
  • Evaluate, pilot, and integrate AI tools and features, paying close attention to data ownership, confidentiality, security, and alignment with HOPE’s AI governance policies.

Training, Enablement & Adoption

  • Design and deliver role-based AI training sessions that build staff confidence and competence with approved AI tools. Help users understand how AI can help them use AI better.
  • Create internal enablement resources — quick-start guides, FAQs, video walkthroughs, and use-case examples — that make AI tools approachable for non-technical audiences.
  • Provide one-on-one coaching and “office hours” support to help staff embed AI into their daily routines.

Measurement, Reporting & Continuous Improvement

  • Track adoption metrics, usage patterns, and workflow impact to evaluate the effectiveness of AI implementations and report findings to leadership.
  • Gather ongoing feedback from staff to identify new use cases, unmet needs, and areas for improvement.
  • Stay current on emerging AI capabilities, especially within the Microsoft ecosystem, and recommend new features or tools for piloting.

Responsible AI & Stewardship

  • Ensure all AI implementations adhere to HOPE’s guiding principles: wise exploration, ethical and mission-aligned use, human-centered design, and responsible governance.
  • Help translate responsible AI concepts into clear, faith-informed guidance grounded in stewardship, trust, and care for others.
  • Comply with HOPE’s AI Acceptable Use Policy, data protection requirements, and all applicable reporting procedures.

Skillset

  • Personal confession of Christian faith and commitment to the mission and vision of HOPE International.
  • 3+ years of experience in one or more of the following: IT, business process improvement, digital transformation, AI/ML implementation, or technology consulting.
  • Demonstrated ability to analyze business processes, identify automation/AI opportunities, and implement solutions end-to-end.
  • Working knowledge of generative AI tools and concepts (e.g., prompt engineering, agents, context windows, model differences).
  • Experience with the Microsoft 365 ecosystem; hands-on experience with Microsoft Copilot, Copilot Studio, Power Platform, or similar tools.
  • Strong written and verbal communication skills, especially the ability to explain technical concepts to non-technical audiences.
  • Proven ability to design and deliver effective training or enablement programs.
  • Comfort working across departments, building relationships, and navigating ambiguity with a posture of humility, curiosity, and service.
  • Experience in nonprofit, international development, or faith-based organizations preferred.
  • Familiarity with AI governance, data protection, privacy, or information security concepts preferred.
  • Cross-cultural awareness or experience working in global contexts preferred.
  • Familiarity with project management tools (e.g., Asana, Jira) preferred.

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