Role Description Make an impact this summer—improve how real businesses operate. Join Lumelight as a Business & Technology Intern and work on live projects where you’ll use AI and automation to streamline workflows, improve accuracy, and drive meaningful business outcomes. This is not a “shadow and observe” internship. You’ll contribute to live workflows, active projects, and real decisions—working alongside teams to make processes more efficient, accurate, and scalable. This program is built around a practical, results-driven approach to technology: - Use AI and automation tools to improve efficiency, accuracy, and business workflows. - Apply human judgment and business context to drive meaningful outcomes. Interns may align to one of several functional areas, including: - Human Resources - Marketing - Operations - Product - Sales What You’ll Do - Leverage your existing AI and business knowledge and experience with AI tools to identify inefficiencies and implement practical improvements across workflows. - Apply AI-driven solutions to streamline processes, improve accuracy, and reduce manual effort. - Use AI and analytics platforms to analyze data, uncover actionable insights, and support faster, more informed decisions. - Identify and test tools that enhance operational efficiency, scalability, and team productivity. - Build or support practical solutions that optimize business processes and improve workflow execution. - Gather, structure, and interpret data to improve reporting, consistency, and decision-making quality. - Develop clear documentation, process guides, and playbooks that standardize and improve how work gets done. - Present insights and recommendations focused on improving efficiency, workflow performance, and business outcomes. What You’ll Gain - Hands-on experience working in a fast-paced, tech-enabled business environment. - Practical experience using AI and automation to improve real business operations. - Strong foundation in process improvement, efficiency optimization, and data-driven decision-making. - Exposure to cross-functional teams and leadership. - A portfolio of real-world projects with measurable business impact. - Mentorship and professional development opportunities. What Makes This Internship Different - Focus on applying AI to real work—not just learning tools. - Emphasis on improving how businesses operate: efficiency, accuracy, and workflow. - Real exposure to how companies use technology to drive outcomes and scale operations. - A chance to build practical skills that are immediately valuable in the workplace. Qualifications - Currently enrolled in an accredited college or university. - Expected graduation date of May 2027 or later. - Demonstrated fluency in business concepts and proficiency in applied AI, with hands-on experience using tools such as ChatGPT, Microsoft Copilot, Power BI or similar platforms to support analysis, problem-solving, or process improvement. - Pursuing a degree in Business, Data Analytics, Computer Science, Information Systems, or related field. - Interest in technology-enabled business, data, and process improvement. - Curiosity about how AI and automation can improve real-world work. - Ability to learn new tools quickly and work in a fast-paced environment. - Strong written and verbal communication skills. - Self-starter with a problem-solving mindset. Requirements - Pay: $20/hour - Duration: 6–8-week, full-time summer internship - Schedule: 40 hours per week - Location: Fully remote (U.S.-based; approved states only) - Benefits Eligibility: Not benefits eligible - Equipment: Company-provided Work Environment You’ll work in a collaborative, fast-paced environment where interns are expected to contribute ideas, take ownership of projects, and partner with leaders across the business. Equal Opportunity Employer Lumelight is an equal opportunity employer and is committed to creating an inclusive environment for all employees.

The IAM Analyst II is responsible for more complex identity governance activities, access provisioning architecture, role modeling, access certification, integration of enterprise systems, and user lifecycle management. The analyst will lead projects and initiatives that directly support the organization's zero trust architecture and regulatory compliance requirements.

• Play a critical role in building and scaling Workforce Management capabilities for WES’ Customer Service function • Own forecasting, capacity planning, and headcount modeling across three tiers of customer support and multiple contact channels • Design, build, and maintain contact volume forecasts from scratch across three levels of support • Forecast demand across multiple channels, including voice, email, chat, and social • Establish forecasting methodologies, assumptions, and documentation • Develop short-term and long-term headcount models • Partner closely with outsource vendors on workforce planning, staffing strategies, and performance management • Monitor vendor performance against contractual commitments and operational KPIs • Provide data-driven insights to inform cost optimization strategies • Serve as a core member of the Customer Service Leadership Team

• Design, build, and maintain dynamic Sigma Computing reports and dashboards to support leadership, case management, and legal operations teams. • Analyze client workup data to identify trends and drivers of case quality and successful outcomes. • Develop predictive models to forecast the number of clients likely to proceed through the case workup process. • Conduct productivity analyses to evaluate case management team performance and identify areas for operational improvement. • Translate complex data into actionable insights to drive strategic planning and daily decision-making. • Work with cross-functional teams to understand reporting needs and develop scalable solutions. • Ensure accuracy, integrity, and reliability of data used in reports and analyses. • Document data definitions, methodologies, and reporting standards to support consistency and clarity across the organization. • Collaborate with data engineering and IT to enhance data sources and improve reporting infrastructure. • Other duties as assigned.