<div><strong>Position Summary &nbsp;</strong></div><div>Reporting to the Chief Data and Information Officer</div><div>Location within Kansas City, MO or Remote and or Hybrid optional</div><div>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.&nbsp;</div><div>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.&nbsp;</div><div>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.&nbsp;<br><br></div><div><strong>Your Responsibilities Include&nbsp;</strong></div><div><strong>Process Discovery and Workflow Improvement&nbsp;</strong></div><ul><li>Conduct systematic reviews of workflows across departments including programs, operations, marketing, finance, and people operations to identify repetitive or inefficient tasks.&nbsp;</li><li>Lead discovery sessions with department leaders and frontline staff to surface operational pain points and automation opportunities.&nbsp;</li><li>Map end to end workflows to identify friction points where AI and automation can create leverage.&nbsp;</li><li>Maintain and prioritize an organization wide backlog of automation opportunities.&nbsp;</li><li>Maintain a steady pipeline of automation initiatives delivering continuous improvements.&nbsp;</li></ul><div><strong>AI Enabled Workflow Automation&nbsp;</strong></div><ul><li>Design and implement AI enabled workflows that automate routine tasks and improve operational efficiency.&nbsp;</li><li>Rapidly prototype and deploy automation solutions and iterate with real users before scaling.&nbsp;</li><li>Build and maintain AI workflows using modern automation platforms and APIs (e.g., n8n, Make, Zapier, Workato, or similar tools).&nbsp;</li><li>Design purpose built AI agents connecting AI models with organizational workflows.&nbsp;</li><li>Prototype tools leveraging internal knowledge sources in collaboration with Data and Engineering teams.&nbsp;</li><li>Maintain clear documentation of key workflows and system dependencies.&nbsp;</li></ul><div><strong>System Evaluation, Selection and Implementation&nbsp;</strong></div><ul><li>Evaluate and select commercial AI tools supporting organizational workflows and productivity.&nbsp;</li><li>Lead vendor demonstrations, pilot programs, and tool evaluations.&nbsp;</li><li>Develop business cases and budget recommendations for AI investments.&nbsp;</li><li>Coordinate implementation with IT, Data, and departmental teams.&nbsp;</li><li>Ensure integration with systems like Office 365, Salesforce, Slack, and Asana.&nbsp;</li></ul><div><strong>AI Tooling Governance and Ownership&nbsp;</strong></div><ul><li>Own the organization’s AI tool inventory and approval process working with CDIO.&nbsp;</li><li>Establish standards for approved AI tools used across the organization.&nbsp;</li><li>Manage lifecycle of AI tools including evaluation, approval, renewal, and retirement.&nbsp;</li><li>Identify and rationalize duplicative or unofficial AI tools.&nbsp;</li><li>Apply governance and architecture standards.&nbsp;</li><li>Serve as the operational lead for implementing AI governance decisions.&nbsp;</li><li>Serve as an intake point for requests to introduce new AI tools and prepare recommendations for governance review.&nbsp;</li><li>Prepare tool reviews, vendor assessments, and risk analyses for governance approval.&nbsp;</li><li>Translate governance principles and policies into practical operational guidance for staff.&nbsp;</li></ul><div><strong>Organizational Adoption and AI Literacy&nbsp;</strong></div><ul><li>Lead organizational change efforts for AI initiatives.&nbsp;</li><li>Design and lead an organization wide AI enablement program including workshops and playbooks.&nbsp;</li><li>Build and support an internal AI Champions network.&nbsp;</li><li>Develop practical guidance and examples showing staff how AI can improve everyday work.&nbsp;</li><li>Develop approved tool lists and guidance helping staff comply with the organization’s AI acceptable use policy.&nbsp;</li><li>Proactively intervene when adoption lags expectations.&nbsp;</li></ul><div><strong>AI Strategy Execution&nbsp;</strong></div><ul><li>Translate organizational AI strategy into a pipeline of workflow improvements.&nbsp;</li><li>Identify opportunities where AI can reduce manual work and expand staff capacity.&nbsp;</li><li>Run controlled pilots and recommend scaling or discontinuing initiatives.&nbsp;</li><li>Track KPIs such as time saved and operational efficiency gains.&nbsp;</li><li>Product and Engineering Collaboration&nbsp;</li><li>Provide guidance to engineering teams exploring AI capabilities within CarePortal, Strong Family, and GOEX.&nbsp;</li><li>Share patterns and lessons learned from operational AI implementations.&nbsp;</li></ul><div><strong>What Success Looks Like in the First Year&nbsp;</strong></div><ul><li>Several practical AI automations are live across multiple departments.&nbsp;</li><li>Staff reclaim meaningful time previously spent on administrative tasks.&nbsp;</li><li>Staff understand when and how to use AI tools effectively.&nbsp;</li><li>A clear set of approved AI tools and governance practices is established.&nbsp;</li><li>Department leaders view AI as a practical solution to operational challenges</li></ul><div><br></div><div><strong>Qualifications</strong></div><div><strong>Knowledge and Skills, You Bring to the Organization&nbsp;</strong></div><div><strong>Required&nbsp;</strong></div><ul><li>Bachelor's degree in computer science, Information Systems, Data Science, Engineering, Business Analytics, or related fields required.&nbsp;</li><li>5 to 7 plus years of professional experience in operations, systems implementation, digital transformation, data systems, or technical product development.&nbsp;</li><li>2 to 4 plus years of hands on experience designing and implementing workflow automation, AI enabled systems, or advanced productivity tools within an organizational environment.&nbsp;</li><li>Hands on experience implementing AI enabled workflows or productivity tools.&nbsp;</li><li>Strong working knowledge of current AI technologies and enterprise applications.&nbsp;</li><li>Experience with automation platforms and APIs (e.g., n8n, Make, Zapier, Workato, or similar tools).&nbsp;</li><li>Comfort working with APIs, JSON, and light scripting (e.g., Python).&nbsp;</li><li>Proven ability to analyze workflows and redesign processes.&nbsp;</li><li>Experience leading cross functional initiatives.&nbsp;</li><li>Effective communication skills with technical and non technical stakeholders.&nbsp;</li></ul><div><br></div><div><strong>Preferred&nbsp;</strong></div><ul><li>Experience designing AI workflows integrating LLMs with business processes.&nbsp;</li><li>Familiarity with prompt engineering, agent workflows, or retrieval systems.&nbsp;</li><li>Experience implementing knowledge management or enterprise search platforms.&nbsp;</li><li>Training or certification in change management methodologies.&nbsp;</li></ul><div><br></div><div><strong>Key Traits for Success&nbsp;</strong></div><ul><li>Curious and Diagnostic enjoys understanding how work gets done.&nbsp;</li><li>Pragmatic: focused on solving operational problems.&nbsp;</li><li>Builder: comfortable getting hands on with automation platforms and APIs.&nbsp;</li><li>Change Leader: skilled at helping teams adopt new tools.&nbsp;</li><li>Translator: explains AI capabilities clearly to technical and non technical audiences.&nbsp;</li><li>Organized: maintains understandable workflows and documentation.&nbsp;</li><li>Operational: thinks in terms of capacity and measurable improvements.&nbsp;</li></ul><div>&nbsp;</div><div>The above description is not intended to be comprehensive, but rather a focused list of priorities. Success provides the opportunity to not only build a career but also bring much needed support and care to local children and families in crisis across the United States. Successful candidates, like all GO Project LLC employees, are expected to live and work consistent with GO’s vision, mission, and values.&nbsp;</div><div>&nbsp; &nbsp;</div><div>GO Project offers a competitive benefits package for full time positions (30 plus hours per week) including health, dental, vision and employer paid life insurance, retirement savings and generous PTO plan and a highly competitive, market indexed compensation when compared to similar non profit roles. Compensation is commensurate with relevant skills and experience. &nbsp;</div><div>The Global Orphan Project is a 501c3 nonprofit located at 3161 Wyandotte, Kansas City, MO 64111.&nbsp;</div><div>GO Project associates are at will employees.&nbsp;</div><div><a href="http://www.goproject.org/">www.goproject.org</a> &nbsp;</div>

Director of Applied AI

<div>GMO Global Media Outreach harnesses the power of digital technology to spread the Gospel around the globe. Through advanced data-driven strategies, we connect with millions, fostering their spiritual growth in Christ. We aim to offer every person on Earth the chance to discover Jesus via various digital channels, creating a faith-based community that unites volunteers with individuals worldwide seeking spiritual enlightenment.<br><br></div><div>We are seeking a skilled and mission-driven Data Scientist to join our growing team. This role is pivotal in helping us understand, engage with, and support people at every stage of their spiritual journey. As a <strong>Data Science &amp; Analytics Director </strong>at Global Media Outreach, you’ll apply statistical modeling, machine learning, and data mining techniques to generate insights that inform outreach strategies, measure spiritual engagement, and optimize impact. You’ll work closely with stakeholders across the organization to ensure data is used to advance our mission effectively and responsibly.<br><br></div><div><strong>Key Responsibilities:<br></strong>This role will provide leadership to the Data Science &amp; Analytics team and foster cross-functional collaboration (including engineering, product, etc.) to align data initiatives with broader business objectives. This role reports to the Chief Technology Officer and works closely with the Director of Engineering and Sr. Director of Solutions as part of the Technology Solutions leadership team.&nbsp;<br><br></div><div><em>Modeling, Metrics &amp; Analysis:</em></div><ul><li>Design and implement machine learning models to classify contacts, predict user engagement, and identify behavioral trends.</li><li>Develop and refine metrics to quantify spiritual growth and content effectiveness.</li><li>Analyze large datasets to extract insights that inform strategic decisions, campaign performance, and digital outreach strategies.</li></ul><div><br><em>Experimentation &amp; Optimization:</em></div><ul><li>Design and evaluate A/B tests, multivariate experiments, and causal analyses to test hypotheses and optimize messaging, user flows, and engagement pathways.</li><li>Leverage data insights to assess the efficacy of product enhancements, content approaches, and operational workflows. This analysis will inform solution development and drive continuous improvement.</li></ul><div><br><em>Data Engineering Collaboration:</em></div><ul><li>Partner with the Director of Engineering to source, clean, and prepare structured and unstructured data for analysis and model deployment.</li><li>Contribute to refining data pipelines and support the execution of scalable models in production environments.</li></ul><div><br><em>Communication &amp; Visualization:</em></div><ul><li>Communicate complex data insights to stakeholders at all levels through clear narratives and effective data visualizations, enabling data‑driven decision‑making across the organization.</li><li>Create compelling dashboards, reports, and visualizations to communicate trends and recommendations to internal stakeholders and leadership.&nbsp;</li></ul><div><br>Research &amp; Innovation:</div><ul><li>Stay informed on trends in data science, machine learning, and AI—especially those applicable to digital engagement and nonprofit work.</li><li>Explore emerging technology trends such as NLP, recommender systems, and responsible AI to inform future innovation.</li></ul><div>&nbsp;</div><div><strong>Skill Requirements:</strong></div><ul><li>Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Applied Mathematics, or a related field.</li><li>5–7 years in data science/analytics with leadership experience.</li><li>Proficiency in Python or R and experience with relevant libraries (e.g., pandas, scikit-learn, TensorFlow, caret).</li><li>Strong SQL skills and experience working with relational databases and data warehouses.</li><li>Demonstrated experience with supervised and unsupervised learning techniques.</li><li>Strong grasp of experimental design, hypothesis testing, and statistical inference.</li><li>Excellent communication and visualization skills, with the ability to explain complex models to non-technical stakeholders.</li><li>Experience deploying models and working with data in production environments.</li></ul><div><br><strong>Bonus Skills:</strong></div><ul><li>Experience in digital engagement, donor analytics, or non-profit impact measurement.</li><li>Familiarity with cloud platforms such as AWS or Google Cloud Platform.</li><li>Exposure to NLP and chatbot-related applications.</li><li>Proficiency in data visualization tools such as Tableau, Power BI, or Looker.</li><li>Understanding of data ethics and responsible AI practices.</li></ul><div>&nbsp;</div><div><strong>Additional Requirements</strong></div><ul><li>This position is fully remote.</li><li>Only U.S.-based applicants will be considered.</li><li>Applicants must be authorized to work in the U.S.</li><li>Alignment with our Statement of Faith is required.</li></ul><div>&nbsp;</div><div><strong>To Apply<br></strong>If you have a passion for using your skills for Gospel purposes, we encourage you to apply. Please submit your <strong>resume</strong> and a <strong>cover letter below. </strong>Your cover letter should detail your interest in joining Global Media Outreach and highlight your experience and skills.<br><br></div><div>Join us in our mission to make a significant global impact through innovative digital means, spreading the gospel and connecting people with the message of Jesus Christ!</div>

Data Science & Analytics Director

<div><strong>Compensation: $66,130 – $82,770</strong> depending on relevant education, experience, and location.</div><div><br>The Google Workspace Administrator is responsible for the administration, security, and ongoing operational support of Young Life's Google Workspace environment. This role ensures reliable access to Gmail, Google Drive, Google Groups, Google Calendar, and related Workspace services, while enforcing organizational security policies, identity governance, and compliance requirements. Under the supervision of the IT Infrastructure Manager, this position supports enterprise collaboration systems, manages user lifecycle operations, and assists with related infrastructure projects.</div><div><br></div><h3>Essential Duties &amp; Responsibilities</h3><ul><li>Administer and maintain the Google Workspace environment, including Gmail, Drive, Calendar, Groups, Meet, and related services.</li><li>Manage user provisioning and deprovisioning, including account lifecycle management, Organizational Unit (OU) structure, and role-based access controls.</li><li>Configure and maintain Google Admin Console settings including security controls, authentication policies, and device management.</li><li>Manage Google Groups structure, permissions, ownership, and membership, ensuring proper access to file shares and shared drives.</li><li>Support Shared Drives administration including ownership models, sharing controls, retention policies, and permission auditing.</li><li>Implement and maintain security best practices such as MFA enforcement, Conditional Access equivalents, and session controls.</li><li>Configure and monitor Google Workspace audit logs and reporting dashboards to identify suspicious activity and compliance gaps.</li><li>Administer Google Vault for eDiscovery, retention policies, legal holds, and export requests as required.</li><li>Support data governance initiatives including Drive sharing restrictions, external sharing policies, and DLP settings.</li><li>Troubleshoot Workspace authentication, email routing, delivery issues, and end-user access problems.</li><li>Provide Tier-3 escalation support for the Service Center and remote Young Life staff related to Google Workspace services.</li><li>Coordinate with IT Security, Help Desk, and Infrastructure teams to implement Workspace security and compliance initiatives.</li><li>Maintain documentation of Google Workspace configurations, policies, and operational procedures.</li><li>Coordinate with vendors and Google support for troubleshooting and escalations as needed.</li><li>Assist with infrastructure projects integrating with Workspace, including SSO, identity federation, and automation tools.</li></ul><div><br></div><h3>Education</h3><ul><li>College degree in a computer-related field desired (experience may be considered in lieu of education).</li><li>Google Workspace certifications preferred (e.g., Google Professional Workspace Administrator).</li></ul><div><br></div><h3>Required Experience</h3><ul><li>3–5 years of experience administering Google Workspace in an enterprise environment.</li><li>Experience with Identity and Access Management (IAM), including SSO and directory integrations.</li><li>Experience managing Organizational Units (OUs), group policy structures, and role-based admin delegation.</li><li>Strong knowledge of Google Groups, Shared Drives, and file sharing permissions.</li><li>Experience with email troubleshooting including routing, SPF/DKIM/DMARC, spam filtering, and mail flow analysis.</li><li>Experience with Google Vault, retention policies, and eDiscovery workflows.</li><li>Experience with automation tools such as GAM (Google Apps Manager), Google Workspace APIs, or scripting with PowerShell/Python.</li><li>Ability to maintain confidentiality with sensitive customer and internal information.</li><li>Strong written and verbal communication skills; ability to communicate technical concepts to non-technical staff.</li><li>Experience working with IT security frameworks and applying security controls to collaboration platforms.</li></ul><div><br></div><h3>Preferred Experience</h3><ul><li>Experience with endpoint management solutions (ChromeOS, MDM, Windows/macOS integration).</li><li>Experience with Microsoft 365 or hybrid collaboration environments.</li><li>Experience with AWS or Azure cloud services and identity integrations.</li><li>Familiarity with DLP solutions and compliance auditing tools.</li><li>Experience supporting large-scale nonprofit or distributed workforce environments.</li></ul><div><br></div><h3>Working Conditions</h3><ul><li>Office environment.</li><li>May require after-hours maintenance and emergency support.</li><li>On-call rotation may be required depending on operational needs.</li></ul><div><br><em>Young Life shall only employ individuals who profess a belief in Jesus Christ as their personal Savior and Lord and subscribe to the Young Life Statement of Faith. Employees and volunteers shall be ready to fulfill ministry functions, refrain from conduct that detracts from biblical standards supported by Young Life, and abide by all organizational policies.</em></div>

Google Workspace Administrator

<div><strong>Overview<br></strong><br></div><div>We are seeking a skilled Azure Data Architect &amp; Engineer to lead the design and implementation of our modern data platform. In this dual-capacity role, you will define the architectural roadmap for our cloud data estate while remaining hands-on in building scalable pipelines, optimizing Spark performance, and migrating legacy workloads into <strong>Microsoft Fabric</strong> and <strong>Azure Synapse</strong>.</div><div><strong><br>Responsibilities<br></strong><br></div><ul><li>Architectural Leadership: Design and implement scalable, secure, and resilient cloud data architectures using the Medallion (Bronze/Silver/Gold) architecture pattern.</li><li>Data Pipeline Engineering: Build and maintain complex ETL/ELT workflows using Azure Data Factory (ADF) and Microsoft Fabric Data Factory.</li><li>Advanced Analytics &amp; Spark: Develop high-performance data processing logic using PySpark, Spark SQL, and Python on Azure Databricks or Fabric Spark Notebooks.</li><li>Migration &amp; Modernization: Lead hands-on migrations of on-premises data warehouses to Azure, ensuring minimal downtime and data integrity.</li><li>Performance Tuning: Perform deep code-level analysis of Spark core internals and Delta Lake logs to troubleshoot and optimize large-scale data processing.</li><li>Unified Analytics: Integrate Power BI with OneLake and Lakehouse architectures, ensuring seamless "Direct Lake" connectivity and optimized reporting.</li><li>Security &amp; Governance: Implement robust security frameworks, including Row-Level Security (RLS), data masking, and compliance with global privacy regulations</li><li>DevOps &amp; Best Practices: Champion CI/CD for data (DataOps) using Azure DevOps/GitHub, ensuring code modularity, version control, and comprehensive documentation.</li></ul><div><strong><br>Qualifications<br></strong><br></div><div><strong>Core Experience</strong></div><ul><li>3–5+ years of experience in Data Warehousing, BI, and Cloud Data Engineering.</li><li>Proven track record of designing end-to-end data solutions on <strong>Microsoft Azure</strong>.</li></ul><div><br>The Azure Stack - Azure Data Lake Storage (ADLS Gen2), Azure SQL DB, and Synapse Analytics, ADF, Fabric ecosystem</div><div>&nbsp;</div><div><strong>Data Modeling &amp; Visualization</strong></div><ul><li>Expertise in Dimensional Modeling (Star/Snowflake schemas).</li><li>Advanced Power BI skills, including DAX, RLS implementation, and performance tuning for large datasets.</li></ul><div><strong>Programming &amp; Infrastructure</strong></div><ul><li>Strong proficiency in Python (PySpark) and SQL.</li><li>Understanding of Infrastructure as Code (ARM templates, Terraform, or Bicep) and hybrid cloud integration.</li></ul><div><strong>Preferred Certifications</strong></div><ul><li><strong>DP-203:</strong> Azure Data Engineer Associate</li><li><strong>DP-600:</strong> Fabric Analytics Engineer Associate</li><li><strong>DP-700:</strong> Fabric Data Engineer Associate (New/Beta)</li></ul><div>HarperCollins Publishers is a company full of people who are passionate about books.&nbsp; When you apply for a position, we want to know why you want to work here, and why you are interested in the job. <strong>That’s why cover letters are strongly preferred.</strong></div><div>&nbsp;</div><div>The salary range for this position is $110,000-$135,000. We recognize that attracting the best talent is key to our strategy and success as a company. As a result, we aim for flexibility in structuring competitive compensation offers to ensure we are able to attract the best candidates. The quoted salary range represents our good faith estimate as to what our ideal candidates are likely to expect, and we tailor our offers within the range based on the selected candidate's experience, industry knowledge, technical and communication skills, and other factors that may prove relevant during the interview process. &nbsp;</div><div>&nbsp;</div><div>In addition to cash compensation, the company provides a comprehensive and highly competitive benefits package, with a variety of physical health, retirement and savings, caregiving, emotional wellbeing, transportation, and other benefits, including "elective" benefits employees may select to best fit the needs and personal situations of our diverse workforce.</div>

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