Enterprise Planning Manager

We are seeking a Manager to lead the design, build, and ongoing management of enterprise planning and forecasting models supporting actuals, forecast, budget, long-range planning, and scenario modeling. This role partners closely with Finance (FP&A), Accounting, Business Unit leaders, and IT to deliver scalable, governed, high-performing planning solutions using TM1 / IBM Planning Analytics or modern EPM tools such as OneStream, Anaplan, and Hyperion Essbase. The ideal candidate combines deep financial modeling expertise with strong EPM platform knowledge, data integration experience, and stakeholder management skills to deliver reliable planning outcomes with measurable business impact.

Enterprise Planning Model Strategy & Delivery :

Own end-to-end delivery of planning models including Actuals, Forecast, Budget, LRP, and what-if / scenario simulations across P&L, Balance Sheet, Cash Flow, CapEx, Headcount, Opex, Revenue, and cost allocations. Define and maintain the planning model architecture (dimensions, hierarchies, versioning, calendars, drivers, measures, metadata strategy). Lead model build activities: calculations, rules/scripts, driver-based planning, allocations, intercompany logic, and rolling forecast methods. Drive standardization and reusability of model components (common dimensions, reference data, shared business rules).

Business Partnership (FP&A / Accounting / BU Finance): Translate finance and business requirements into scalable EPM solutions; act as a trusted partner to FP&A leaders and finance stakeholders. Facilitate design workshops to define driver trees, planning assumptions, scenario levers, and reporting outputs. Ensure alignment with accounting close, actuals loads, and reconciliation processes (actuals vs plan vs forecast variance).

Data Integration, Automation & Controls:

Own integration of data between EPM tool(s) and upstream/downstream systems (ERP/GL, Data Warehouse/Lake, BI). Oversee ETL/ELT processes, scheduling, automation, and monitoring for data loads (actuals, master data, rates, assumptions). Implement strong reconciliation and auditability: balancing checks, variance thresholds, data validation rules, and end-user signoffs.

Performance, Scalability & Reliability:

Optimize model performance (calculation efficiency, cube design, aggregation strategy, partitioning, indexing, caching). Maintain high system availability during planning cycles; manage release schedules and deployment procedures. Establish monitoring, issue triage, and root-cause analysis for production incidents and user issues.