Role Description DeVoe School of Business, Technology, and Leadership is seeking experienced Adjunct Faculty to teach undergraduate and graduate applied A.I. courses in an online, asynchronous format. Additional opportunities exist to teach international student courses in a hybrid format, which includes online coursework and a two-day in-person session located in Merrillville, IN or Dallas, TX. - Perform instruction related duties and responsibilities in a timely manner and in accordance with the mission, policies and procedures of the college. - Employ a range of suitable strategies to foster student learning, stimulate class discussions, encourage active learning in all students, maintain proper class related records, promptly assess student coursework, and apprise students of progress. - Articulate, current within his or her discipline, and demonstrate a passion for teaching and learning with related professional experience. - Incorporate Biblical principles into the content area. - Communicate with all IWU constituents in a professional and academic manner. - (Essential) Qualifications - According to Indiana Wesleyan University employment policy, all employees must possess a strong Christian commitment and adhere to the standards outlined in the IWU Community Lifestyle Statement. - Doctoral degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Information Technology, or related field. Or a Doctorate at 18 graduate hours in the field. Applicants with a Master’s degree and 5+ years of applied A.I. and/or analytics experience will be considered. - 5+ years of experience in A.I., data science, and/or the integration of emerging technology into the business environment. - Prior teaching experience preferred. - Applicants with at least five years of relevant work experience in Data Analytics/Science, Computer Science, Artificial Intelligence, Information Technology are invited to apply. - Teaching experience in cross-cultural settings preferred (not required). Requirements - Ability to model an active and mature personal faith in Jesus Christ. - Demonstrated subject matter expertise and active involvement in continuous education/scholarship in the field. - Passion and ability to teach effectively, including effective written and verbal communication. - Ability to motivate and connect with students of diverse ages, cultures, and backgrounds. - Ability to be engaged, reliable, and professional in a distributed work environment. - Proficiency in MS Office products and online Learning Management software. Company Description IWU, in covenant with God's reconciling work and in accordance with the Biblical principles of our historic Wesleyan tradition, commits to build a community that reflects Kingdom diversity. We will foster an intentional environment for living, teaching and learning, which exhibits honor, respect, and dignity. Acknowledging visible or invisible differences, our community authentically values each member's earthly and eternal worth. We refute ignorance and isolation and embrace deliberate and courageous engagement that exhibits Christ's commandment to love all humankind.

• Develop and lead the company’s data and analytics strategy, establishing the priorities, architecture, tools, and team required to support continued growth • Build executive and functional dashboards that provide clear visibility into company performance, customer behavior, marketing efficiency, retention, channel economics, inventory, and operational trends • Establish a trusted source of truth through consistent metric definitions, scalable reporting, data quality standards, and effective governance • Partner with leaders across Growth, eCommerce, Retail, Finance, Operations, and Customer Experience to turn business questions into actionable insights, forecasts, and recommendations • Develop the company’s AI and advanced analytics roadmap, identifying opportunities to improve reporting, forecasting, decision-making, automation, and customer understanding • Oversee data privacy, access controls, vendor risk, cybersecurity practices, and incident readiness in partnership with internal stakeholders and external experts • Build and lead a high-performing data and analytics team while fostering greater data fluency and self-service capabilities across the organization

• Translate campaign requirements into segmentation logic, SQL queries, and executable workflows • Execute campaign code and generate list pulls using established frameworks • Validate campaign outputs through reconciliation checks, exploratory analysis, and edge case detection • Perform statistical checks to confirm segment distributions, thresholds, and suppression logic • Write, optimize, and maintain SQL queries for large-scale extraction and analysis • Support ETL workflows in SSIS (Visual Studio), including job monitoring and troubleshooting • Use Tableau and Looker for data validation and analytical slicing (not dashboard development) • Identify opportunities to automate campaign execution and validation to improve reliability and reduce risk • Ensure secure delivery and compliance through SFTP transfers, encryption/decryption, and governance standards

• Lead experimentation strategy: Design, execute, and analyze A/B tests and quasi-experiments to evaluate product and feature impact on engagement, retention, and customer satisfaction. • Drive product insights: Conduct deep-dive analyses on user journeys, onboarding funnels, feature adoption, and retention cohorts to identify growth and optimization opportunities. • Define and operationalize metrics: Establish north-star metrics, KPIs, and guardrails; ensure consistent definitions across teams and dashboards. • Enable product decision-making: Translate complex analyses into clear, actionable recommendations for product roadmaps and prioritization. • Improve data foundations: Partner with data engineering and platform teams to ensure high-quality telemetry, scalable data models, and reliable reporting layers. • Leverage advanced analytics: Apply statistical techniques (segmentation, cohort analysis, regression, causal inference) to uncover drivers of user behavior and product performance. • Collaborate cross-functionally: Work closely with Product Managers, Designers, and Engineers to embed analytics into the product development lifecycle. • Mentor and elevate analytics practices: Guide analysts on experimentation design, metric definition, and storytelling best practices. • Communicate effectively: Deliver clear, compelling insights to stakeholders and leadership through dashboards, presentations, and narratives.