ERP Finance Master Data Specialist — Governance & Migrations

McLaren Automotive Limited; Woking; Hybrid; GBP 45,000 - 65,000; Full time

Job summary

McLaren Racing seeks a Master Data Specialist to support our finance transformation by creating trusted, accurate master data for finance systems. You will work across Finance and connected business teams to cleanse, govern and populate data aligned to our Financial Data Model, ERP design and reporting needs.

This role is key to enabling a scalable, auditable and reliable finance platform for the future, with responsibilities spanning data standards, migration, controls, and cross-functional

Qualifications

• Experience in ETL extraction, profiling, mapping, cleansing and validation.
• Strong understanding of data migration cycles, test loads and cutovers.
• Experience defining and maintaining data standards, transformation rules and audit controls.
• Confident working with large data sets in Excel and/or data management tools.
• Ability to collaborate with Finance, Data Engineering and Solution Architecture teams.
• Experience with Workday Financials or another major ERP is advantageous.

Responsibilities

• Define and govern Finance master data standards across customers and suppliers.
• Lead data migration activities: extraction, cleansing, transformation, validation.
• Establish robust data controls with mapping rules, audit trails and ETL documentation.
• Ensure alignment between data, ERP design, and business processes with cross-team collaboration.

Skills

ETL

Data migration

Data standards

ERP alignment

Excel

Tools

Excel

Workday Financials

Job description

McLaren Racing seeks a Master Data Specialist to support our finance transformation by creating trusted, accurate master data for finance systems. You will work across Finance and connected business teams to cleanse, govern and populate data aligned to our Financial Data Model, ERP design and reporting needs.

This role is key to enabling a scalable, auditable and reliable finance platform for the future, with responsibilities spanning data standards, migration, controls, and cross-functional