Financial Systems Administrator

Responsibilities

• Oversee the end-to-end administration, configuration, and continuous optimization of the Oracle Cloud EPM suite (EPBCS).
• Design, build, and troubleshoot Essbase ASO/BSO cubes to support large-scale operational scenario planning.
• Act as the primary technical translator between Finance and centralized Data/IT teams; partner with Data Engineering to define technical requirements, ensuring that data models in our data warehouse (Snowflake) are properly structured for seamless EPM ingestion.
• Collaborate with data teams to ingest high-volume non-financial KPIs (e.g., transaction counts, location churn) into EPM planning cubes.
• Troubleshoot integration workflows and perform root-cause analysis on data discrepancies using SQL and Python.
• Replace static calculation scripts with dynamic, context-aware logic to optimize system performance across thousands of sparse locations.
• Utilize EPM Automate alongside Python or batch scripting for complex job scheduling.
• Manage the volatile lifecycle of 5,000+ operational locations; ensure location additions, divestitures, hierarchical changes and associated access permissions, synchronize flawlessly across ERP, CRM, and EPM environments.
• Develop and maintain high-impact visualization dashboards (Tableau, Looker, Hex) with intuitive narratives to facilitate executive decision-making; provide user support, training, and documentation for supported applications.

Requirements

• 7+ years of Oracle EPM (EPBCS/Planning) System Administration and development experience in a high-growth, multi-location enterprise.
• Bachelor’s degree in Computer Science, Finance, Economics, Accounting, Information Systems, or a related field.
• Strong knowledge of data integration tools (EPM Integration Agent, Data Management, EPM Automate) and deep understanding of dependencies between functional components of Oracle EPM.
• Proficiency in SQL and Python with a proven track record of automating financial processes.
• Must understand modern cloud data structures well enough to perform "handholding" and meaningful collaboration with Data Engineers.
• Exceptional ability to bridge the gap between technical data architecture and functional financial insights.
• Strong experience partnering with Senior Leadership and the ability to translate "big picture" financial concepts into tactical execution plans for IT.
• Ability to work independently or with a low-ego, highly collaborative, cross-functional team in a fast-paced, deadline-driven environment.
• Experience leveraging AI tools to transform static workflows into responsive, high-output processes.

Nice-to-Haves

• Experience with Groovy scripting.

Compensation

• Anticipated base salary: $120,000 - $130,000 USD annually.