Director of Applied AI

Tags: Christian Data Jobs • Remote Christian Jobs • Christian AI Jobs • Christian Data Science Jobs • Christian Python Jobs • Christian API Jobs • Christian Information Technology Jobs • Christian NoCode Jobs • Christian Nonprofit Jobs • Christian Design Jobs Position Summary Reporting to the Chief Data and Information Officer Location within Kansas City, MO or Remote and or Hybrid optional Reporting to the Chief Data and Information Officer, the Director, Applied AI leads the practical application of AI and automation to improve operational effectiveness across GO Project. This role functions as an internal continuous improvement leader, working across every department to identify workflow friction, reduce manual work, and implement AI enabled solutions that expand staff capacity. This role represents a strategic priority for GO Project’s next phase of operational scale, with executive leadership committed to embedding AI and automation into everyday organizational workflows. The Director begins as a hands on builder, rapidly prototyping and deploying practical automation and AI enabled workflows. Over time, the role will increasingly focus on architecture, standards, and scaling successful approaches across the organization. In the first year, success will be measured by delivering practical AI enabled automations that reclaim staff time, reduce manual administrative work, and demonstrate clear operational value across multiple teams.This role owns the organization’s internal AI tooling environment, establishing standards for approved tools, managing evaluation and selection of platforms, and ensuring AI tools are secure, effective, and aligned with organizational workflows. The Director is responsible for building baseline AI literacy across GO Project, ensuring staff understand how to incorporate AI tools safely and effectively into their daily work. Your Responsibilities Include Process Discovery and Workflow Improvement Conduct systematic reviews of workflows across departments including programs, operations, marketing, finance, and people operations to identify repetitive or inefficient tasks. Lead discovery sessions with department leaders and frontline staff to surface operational pain points and automation opportunities. Map end to end workflows to identify friction points where AI and automation can create leverage. Maintain and prioritize an organization wide backlog of automation opportunities. Maintain a steady pipeline of automation initiatives delivering continuous improvements. AI Enabled Workflow Automation Design and implement AI enabled workflows that automate routine tasks and improve operational efficiency. Rapidly prototype and deploy automation solutions and iterate with real users before scaling. Build and maintain AI workflows using modern automation platforms and APIs (e.g., n8n, Make, Zapier, Workato, or similar tools). Design purpose built AI agents connecting AI models with organizational workflows. Prototype tools leveraging internal knowledge sources in collaboration with Data and Engineering teams. Maintain clear documentation of key workflows and system dependencies. System Evaluation, Selection and Implementation Evaluate and select commercial AI tools supporting organizational workflows and productivity. Lead vendor demonstrations, pilot programs, and tool evaluations. Develop business cases and budget recommendations for AI investments. Coordinate implementation with IT, Data, and departmental teams. Ensure integration with systems like Office 365, Salesforce, Slack, and Asana. AI Tooling Governance and Ownership Own the organization’s AI tool inventory and approval process working with CDIO. Establish standards for approved AI tools used across the organization. Manage lifecycle of AI tools including evaluation, approval, renewal, and retirement. Identify and rationalize duplicative or unofficial AI tools. Apply governance and architecture standards. Serve as the operational lead for implementing AI governance decisions. Serve as an intake point for requests to introduce new AI tools and prepare recommendations for governance review. Prepare tool reviews, vendor assessments, and risk analyses for governance approval. Translate governance principles and policies into practical operational guidance for staff. Organizational Adoption and AI Literacy Lead organizational change efforts for AI initiatives. Design and lead an organization wide AI enablement program including workshops and playbooks. Build and support an internal AI Champions network. Develop practical guidance and examples showing staff how AI can improve everyday work. Develop approved tool lists and guidance helping staff comply with the organization’s AI acceptable use policy.