Job Description
VirtualResource (VR) is a boutique consultancy supporting companies to optimise their HR and Workday systems. We strive to be the go-to company that partners with businesses to optimise their HR technology landscape.
Our people are our most important asset
We recognise the need for a committed, skilled and loyal team and strive to create a working environment that is flexible, caring and considerate of all needs.
We attract the best people and reward them appropriately
Staff development and upskilling are core to what we do
What is the role about?
We are seeking an experienced Data Lead to take ownership of the end-to-end data strategy, governance, and delivery for large-scale Workday programmes. This is a critical leadership role responsible for ensuring data is accurate, secure, and fit for purpose throughout the migration lifecycle.
You will act as the primary authority on Workday data, driving migration outcomes while partnering closely with clients and internal teams. Your work will ensure minimal business disruption and establish trusted, high-quality data foundations that support long-term operational success.
Responsibilities will include:
Lead the end-to-end Workday data migration strategy, including scope, approach, timelines, and risk management
Define and enforce data governance, quality standards, and success criteria, ensuring data is accurate and fit for purpose
Oversee legacy data assessment, mapping, and transformation, aligned to Workday data models and business processes
Govern all phases of migration (extraction, transformation, loading, validation, and reconciliation) with clear quality assurance
Ensure robust testing across unit, system, UAT, and dress rehearsals, approving outputs ahead of production cutover
Maintain compliance with GDPR, SOC, SOX, ensuring secure data handling, access controls, and audit readiness
Act as the primary data lead for stakeholders, communicating progress, risks, and key decisions
Lead post-go-live stabilisation, reconciliation, and continuous improvement of data practices