Senior Manager FP&A

At KMS Technology, we are dedicated to delivering cutting-edge solutions and services that empower businesses to achieve their goals. Our team is composed of highly skilled professionals who are passionate about technology and innovation. We provide a dynamic and collaborative work environment where you can grow your career and make a significant impact.

KMS Technology is seeking a strategic, systems-minded Senior Manager, FP&A — Global Forecasting & Financial Data to act as a senior business partner to the Global Head of FP&A and the hub for the company’s forecasting and financial data infrastructure. Based in the Americas, this role provides critical same‑hemisphere coverage for the Global Head of FP&A and owns the integrity, structure, and accessibility of the data and models that drive KMS’s financial forecasts. This is a build‑and‑own individual‑contributor role, not a people‑management role. The successful candidate will make KMS’s financial data directly usable: surfacing information from source systems and Power BI into clean, standardized “Excel databases” that anyone — from the Global Head of FP&A to executive stakeholders — can analyze through Excel pivot tables. They will also lead the evolution of our current spreadsheet‑based forecasts into a single, cohesive, linked financial statistics‑based model, combining deep modeling expertise with strong data discipline.

• Own the design and maintenance of KMS’s standardized “Excel databases” — clean, flat, pivot‑ready tables that surface data from source systems and Power BI into Excel, so the Global Head of FP&A and others can build answers directly through pivot tables.
• Define standardized data extracts: consistent schema, consistent formats, and fixed extraction cut‑off times, so pipe‑to‑revenue‑to‑cost data are always aligned to the same point in time.
• Partner closely with the Vietnam‑based pipeline data analyst who maintains the Power BI database to ensure system and Power BI data flow cleanly and consistently into the Excel databases.
• Establish and enforce data governance and documentation — naming conventions, refresh cadence, and version control — so the data is reliable, repeatable, and auditable.
• Keep the Excel databases the accessible, self‑serve front end for analysis, complementing (not replacing) Power BI used upstream.

• Lead the transition from today’s separate Google Sheets and Excel files — currently consolidated manually into a single workbook on request — to a structured set of linked Excel workbooks that operate as one cohesive financial model.
• Architect the model: define module boundaries (e.g., pipeline‑to‑revenue, cost of services and gross margin, Europe, consolidation and outputs), linking logic, input/calculation/output separation, and clear ownership for each component.
• Establish modeling standards and controls — consistent formats, documented assumptions, error checks, and audit trails — so the integrated model is robust, transparent, and easy to maintain.
• Partner with the Accounting team to redesign and replace the current manual consolidation process, so the model meets executive reporting needs on demand rather than on request.
• Continuously improve the model’s structure, accuracy, and usability as the business and data sources evolve.

• Own the development of the consolidated forecast model, integrating pipeline/revenue, cost/gross‑margin, and Global inputs into a coherent company forecast.
• Perform weekly Funnel‑to‑Cash and monthly forecasts and Latest Estimate (LE) updates, and comparative analysis (actual vs. forecast vs. budget), interpreting variances and trends to support decision‑making.
• Support the annual budgeting exercise and scenario / sensitivity modeling across business lines and regions.
• Act as a trusted analytical partner to the Global Head of FP&A on revenue, cost, margin , OPEX, etc. performance.

• Serve as the Global Head of FP&A’s right hand in taking financial modeling to the next level of analytics, applying best‑practice numerical methods — including regression analysis, Monte Carlo simulation, and other statistical techniques — to improve the accuracy and reliability of forecast results.
• As the financial models mature, help introduce AI to support and streamline the weekly Funnel‑to‑Cash (F2C) forecasting process.
• Continuously test, validate, and refine forecasting approaches so that stronger methods translate into better, faster business decisions.

• Provide Americas‑based coverage that strengthens the global FP&A team