Data Automation & Scheduling Operations Lead

The Data Automation and Scheduling Operations Lead plays a key role in advancing data reliability, operational efficiency, and automation maturity. This position ensures scalable, resilient workflows that support business continuity and timely decision-making, while aligning scheduling operations with enterprise goals to drive innovation, reduce risk, and deliver critical data services.

• Lead a high-performing team of engineers and analysts focused on job scheduling and data automation.
• Align automation strategies with business goals to deliver measurable outcomes.
• Manage and optimize enterprise job scheduling platforms (e.g., UC4, Autosys) for reliability and scalability.
• Ensure secure, compliant operations through effective access controls and configurations.
• Modernize automation workflows and migrate scheduling processes to cloud-native platforms (e.g., AWS).
• Standardize automation practices for consistency, maintainability, and performance.
• Partner with cloud engineering to design resilient, scalable automation frameworks.
• Enhance observability and uptime through monitoring standards and proactive issue resolution.
• Support real-time data capabilities by advancing event-driven and streaming automation.
• Strengthen disaster recovery readiness with robust planning, testing, and platform lifecycle management.

• Bachelor’s degree in computer science or related field, or equivalent experience.
• 6+ years in data operations, job scheduling, or automation engineering, with 2+ years in a leadership role.
• Certifications:
  
  AWS Solutions Architect (Associate/Professional), AWS Dev Ops Engineer;
  Fin Ops and Control‑M certifications a plus.
• Strong experience with enterprise job scheduling platforms (e.g., UC4, Control‑M, Autosys).
• Proficient in cloud-native automation tools (e.g., AWS Step Functions, Lambda) and scripting languages (Python, Shell, Power Shell, SQL).
• Familiarity with data pipeline orchestration tools (e.g., Apache Airflow, dbt) and disaster recovery principles.
• Excellent leadership, communication, and collaboration skills with a proven ability to manage priorities and drive strategic initiatives.