Finance Systems Lead – NetSuite & Data Automation

Cedar Recruitment; Greater London; Hybrid; GBP 72,000 - 88,000; Full time

Job summary

Cedar Recruitment in London is seeking a Head of Finance Systems to lead the development and optimisation of the Finance systems landscape, with NetSuite at the core ERP. You will partner with the Interim Data Analytics & Systems Director and Finance Director to shape a clear Systems roadmap and drive automated, accurate reporting.

Responsibilities include building data models, reducing Excel dependencies, and improving month-end processes while strengthening governance of master data and

Qualifications

• Extensive experience with Finance systems and data
• Strong ERP experience, ideally NetSuite
• Proficient in SQL and data reconciliation
• Experience with finance processes (AP, AR, payroll, reporting)

Responsibilities

• Take responsibility for development and optimisation of the Finance systems landscape, with NetSuite as the core ERP.
• Maintain a clear Finance Systems & Data roadmap in partnership with senior Finance leadership.
• Build and maintain reliable Finance reporting tables, data models and SQL-based logic.
• Reduce reliance on manual reporting and large Excel models.
• Identify and automate manual Finance processes across transactions, reconciliations and close-related activities.
• Build automated exception reporting to identify data differences and missing data.
• Support faster and more controlled month-end and year-end processes.
• Strengthen governance around Finance systems, master data and user access.

Skills

Finance systems expertise

Data analysis

Stakeholder management

Problem solving

Tools

NetSuite

Oracle

Workday

SAP

SQL

Power BI

Job description

Cedar Recruitment in London is seeking a Head of Finance Systems to lead the development and optimisation of the Finance systems landscape, with NetSuite at the core ERP. You will partner with the Interim Data Analytics & Systems Director and Finance Director to shape a clear Systems roadmap and drive automated, accurate reporting.

Responsibilities include building data models, reducing Excel dependencies, and improving month-end processes while strengthening governance of master data and