Lead Workload Automation Engineer

The Lead Workload Automation Engineer role architects and drives enterprise-wide workload automation strategy, leading the design of information systems that are appropriate for users' needs and consistent with the overall design of the organization's information systems architecture. Under minimal supervision, this job is accountable for the strategic direction, installation, configuration, migration, and maintenance of the organization's Workload Automation systems, including the modernization of legacy scheduling platforms and the integration of AI-driven automation capabilities.

Key Responsibilities and Duties
•  Leads the formulation of system scope and strategic roadmap through research and fact-finding to develop or modify highly complex, enterprise-scale information systems.
•  Drives and reports to leadership on the strategy and execution for evaluating and implementing changes to existing system logic, architecture, and documentation across the enterprise. 
•  Leads the design and review of flow charts, models, procedures, and feasibility studies to architect enterprise system solutions, including future-state automation platforms.
•  Directs the creation and governance of technical documentation to guide system users and support teams across the organization.
•  Leads cross-functional collaboration with system analysts, engineers, architects, and programmers to define system architecture, project scope, performance requirements, systems performance standards, and interfaces at an enterprise level.
•  Identifies, documents, and advises leadership on system constraints, implications, and consequences of proposed enterprise-wide system changes.
•  Drives end-user enablement strategy through the creation of training programs, materials, and demos for new and migrated platforms.
•  Drives and reports to leadership on the efficiency and effectiveness of application operations, driving enterprise-level troubleshooting and root-cause resolution strategies.
•  Serves as the principal technical authority for the CA Workload Automation AE (AutoSys) tool.
•  Leads the strategy, planning, and execution of the workload orchestration platform, ensuring minimal business disruption and full parity of scheduling capabilities.
•  Architects and implements AI workload automation capabilities, including intelligent job scheduling, predictive failure detection, and automated remediation, to modernize the enterprise workload automation environment.
•  Applies working knowledge of Apache Airflow to evaluate, design, and/or integrate DAG-based orchestration as part of the target-state automation architecture.
•  Applies working knowledge of AWS Batch to design and implement cloud-native, scalable batch processing workflows as part of the migration and modernization strategy.
•  Drives and reports to leadership on the long-term technology strategy for workload automation tools and services across the organization, including build-vs-buy and platform selection decisions.
•  Sets enterprise standards for the design of EEM policies and governs their consistent application across teams.
•  Drives and reports to leadership on the strategy and governance for deployment and maintenance of Workload Agents and Agent Plugins across the environment.
•  Provides enterprise-level process and performance oversight, establishing KPIs and SLAs for workload automation services.
•  Leads the analysis of environment performance and drives execution of enterprise-wide recommendations to optimize the performance, scalability, and resiliency of automation tooling.
•  Serves as a mentor and technical coach to junior, mid-level, and senior team members, and helps shape team-wide skill development, including upskilling on AI automation, Airflow, and AWS Batch.
•  Drives and reports to leadership on the creation, maintenance, and governance of standards, policies, and procedures for all scheduling and workload orchestration activities across the enterprise.
•  Drives high-severity issue resolution, root-cause analysis, and executive-level communication during major incidents.
•  Leads engagement with product vendors to negotiate, implement, and manage workload automation tools and supporting infrastructure, including evaluation of new/replacement platforms.
•  Drives collaborative, cross-organizational initiatives with infrastructure, application support, cloud engineering, and platform teams to implement solutions and continuously improve the workload/scheduling environment.
•  Represents the workload automation function in architecture review boards and technology governance forums, influencing broader enterprise technology strategy.

Educational Requirements

• University (Degree) Preferred

Work Experience

• 5+ Years Required; 7+ Years Preferred

Physical Requirements

• Physical Requirements: Sedentary Work

Career Level
8IC

Required Skills:

• Experience in building and administering AutoSys platform
• Experience with hybrid-cloud solutions

Preferred Skills:

• Experience with troubleshooting and proactive analytical skills.
• Extensive professional experience as a Systems Engineer within an enterprise organization.
• Understanding operating systems and network tools and architecture for solving performance issues.
• Experience in documenting and implementing best practices and leveraging operations teams.
• Experience in mission-critical operations, ideally within a 24x7 large scale distributed and clustered environment.
• Working knowledge of Clustering and HA configurations.
• Effective verbal and written communications skills.
• Advanced-level experience with Scripting Languages.

Anticipated Posting End Date:

Actual base salary may vary based upon, but not limited to, relevant experience, time in role, base salary of internal peers, prior performance, business sector, and geographic location.  In addition to base salary, the competitive compensation package may include, depending on the role, participation in an incentive program linked to performance (for example, annual discretionary incentive programs, non-annual sales incentive plans, or other non-annual incentive plans). 

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