Job Description Insight Global is looking for a Data Automation and Scheduling Operations Lead responsible for managing the enterprise job scheduling platform and leading a team to optimize and modernize data automation processes. This role ensures reliability, scalability, and efficiency of scheduled jobs and data pipelines, while driving migration to cloud-based solutions and supporting the transition from batch to real-time data operations. - Lead and mentor a team of engineers and analysts focused on job scheduling and automation. - Administer and maintain enterprise job scheduling platforms (e.g., UC4, Autosys, Control-M). - Optimize data automation workflows and enforce standards for new processes. - Drive migration of scheduling operations to AWS and modernize using cloud-native tools (e.g., Step Functions, Lambda, EventBridge). - Implement monitoring, alerting, and troubleshooting tools for scheduling and automation. - Ensure compliance with security and regulatory standards. - Design and maintain disaster recovery strategies for job scheduling and automation. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements - Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience). - 6+ years in data operations, job scheduling, or automation engineering. - 2+ years in a leadership or team lead role. - Strong experience with enterprise job scheduling platforms (UC4, Control-M, Autosys). - Proficiency in cloud-native automation tools (AWS Step Functions, Lambda, EventBridge). - Familiarity with scripting languages (Python, Shell, PowerShell, SQL). - Experience with data pipeline orchestration tools (Apache Airflow, dbt). - Knowledge of monitoring tools (CloudWatch, Datadog, ELK stack). - Understanding of disaster recovery principles. - AWS Certified Solutions Architect (Associate or Professional). - AWS Certified DevOps Engineer. - Control-M Administrator or equivalent. - FinOps Certified Practitioner (a plus).