Job Description & How to Apply Below
This is a highly influential role where you will lead the end-to-end migration of financial data from multiple legacy systems into a standardised finance platform. You will be responsible for ensuring that data is accurately extracted, cleansed, transformed, mapped, validated and loaded, while maintaining financial integrity throughout each acquisition integration.
Key Responsibilities
· Lead the end-to-end finance data migration strategy for acquired businesses.
· Own the planning, delivery and governance of data migration work streams.
· Assess legacy finance systems, data structures and chart of accounts across acquired entities.
· Lead the extraction, cleansing, transformation, mapping and loading of finance data.
· Manage migration activity across areas including general ledger, chart of accounts, customers, suppliers, fixed assets, projects, invoices, payments and balances.
· Establish repeatable migration methodologies, templates, controls and documentation.
· Coordinate migration cycles, mock loads, testing, cutover and post-migration hyper care.
· Ensure migrated data is reconciled accurately back to source systems and financial records.
· Work closely with Finance, IT, Transformation, acquired businesses and implementation partners.
· Lead and coordinate internal and external data migration resources.
· Maintain migration plans, RAID logs, issue registers and progress reporting.
· Provide clear updates to senior stakeholders, highlighting risks, dependencies and required decisions.
· Support the standardisation of finance processes and data structures following each acquisition.
· Ensure migration activity meets appropriate governance, control and audit requirements.
You must have:
· Proven experience leading end-to-end data migration projects involving finance or ERP systems.
· Experience working for a company that has undergone significant acquisition-led growth.
· A strong understanding of acquisition integration and the challenges of bringing different finance systems and data structures together.
· Experience migrating finance master data and transactional data.
· Knowledge of data extraction, transformation, cleansing, mapping, validation and reconciliation.
· Experience leading migration planning, testing, mock loads, cutover and hypercare
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