BOSS ERP Consulting
Data Migration Lead
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Role Purpose
We are seeking an experienced Data Migration Lead to lead the data workstream within a major Infor LN ERP transformation programme.
The Data Migration Lead will have end-to-end responsibility for planning, coordinating, and delivering the business data activities required to support the implementation and successful go-live of Infor LN. This includes data cleansing, rationalisation, creation of new and reference data, migration preparation, validation and reconciliation, as well as the migration of transactional and financial data during cutover.
This is a business-facing leadership role, requiring the successful candidate to work closely with Business Process Owners, Functional Leads, SMEs, Data Owners, Finance, Supply Chain, Operations, and the ERP implementation team.
The role will manage and coordinate the network of business leads and data owners responsible for preparing and validating data, ensuring that ownership remains within the business while providing the structure, governance, and direction required to deliver to programme timescales.
Key Responsibilities
1. Lead the Data Workstream
- Own and project manage the end-to-end data workstream, establishing the plan, governance, resources, dependencies, and controls required to deliver data readiness for each stage of the ERP programme. Responsibilities will include:
- Develop and maintain the overall data migration strategy and plan, aligned to the wider ERP programme plan.
- Define the scope of data to be cleansed, created, rationalised, and migrated.
- Establish clear ownership and accountability for data domains across the business.
- Identify data dependencies, risks, and issues and ensure these are actively managed.
- Define and track data readiness criteria and KPIs.
- Coordinate data activities across business functions, sites, and ERP workstreams.
- Provide regular reporting on data readiness, risks, and progress to programme leadership.
2. Data Cleansing and Preparation
- Lead the preparation of existing business data to ensure it is suitable for migration into Infor LN. This will include:
- Profiling and assessing the quality of existing data.
- Defining cleansing requirements and acceptance criteria.
- Identifying missing, incomplete, inaccurate, obsolete, and duplicate data.
- Coordinating cleansing activities with business Data Owners and SMEs.
- Tracking cleansing progress and escalating areas where business action is required.
- Ensuring cleansed data is validated and formally approved by the appropriate business owners.
3. Data Rationalisation
- Lead the rationalisation and standardisation of legacy data to support the new ERP operating model and avoid simply replicating legacy practices within Infor LN. Examples may include:
- Part and item numbers.
- Item descriptions and classifications.
- Customers and suppliers.
- Labour and overhead rates.
- Units of measure.
- Warehouses and locations.
- Generic and miscellaneous codes.
- Financial dimensions and coding structures.
- Planning and manufacturing parameters.
- Other master and reference data.
Work with Business Process Owners and Functional Leads to agree common standards and ensure rationalisation decisions support the target business processes and Infor LN design.
4. Creation of New and Reference Data
- Coordinate the identification, definition, and creation of data required by the new system that does not exist, or does not exist in the required form, within legacy systems. This will include:
- Identifying new master and reference data requirements arising from the Infor LN solution design.
- Establishing templates, standards, and ownership for creation of new data.
- Coordinating business teams responsible for creating and validating this data.
- Managing dependencies between configuration, reference data, and master data.
- Ensuring new data is complete, accurate, and approved in time for migration cycles, testing, and go-live.
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5. Data Migration Cycles
- Work closely with the ERP implementation and technical migration teams to plan and execute iterative migration cycles. Responsibilities will include:
- Define migration scope and requirements for each migration cycle.
- Coordinate extraction of data from legacy systems.
- Manage business input into mapping and transformation rules.
- Coordinate cleansing and remediation following migration errors.
- Organise business validation of migrated data.
- Manage reconciliation and sign-off.
- Capture lessons from each migration cycle and ensure these are incorporated into subsequent rehearsals.
- Ensure the programme progressively demonstrates that data can be migrated accurately and within the required cutover window.
6. Data Cutover and Go-Live
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Lead the data element of the ERP cutover plan, ensuring all required master, reference, transactional, and financial data is successfully transferred into Infor LN for go-live. The scope is expected to include:
- Master and reference data.
- Open sales orders.
- Open purchase orders.
- Open production/manufacturing orders.
- Open warehouse orders and transactions.
- Inventory quantities and valuations.
- Work in progress.
- Customer and supplier balances.
- Open accounts receivable and accounts payable transactions.
- General Ledger balances, codes, and journals.
- Fixed assets where applicable.
- Other open operational and financial transactions required to support business continuity.
The Data Migration Lead will:
- Develop the detailed data cutover plan and timetable.
- Define sequencing, dependencies, and responsibilities.
- Coordinate data freezes and final legacy extracts.
- Manage final cleansing and reconciliation activities.
- Coordinate migration execution with technical and functional teams.
- Manage business validation following migration.
- Define go/no-go criteria relating to data.
- Ensure appropriate reconciliation and formal business sign-off is completed before go-live.
7. Business Data Leadership
- Lead and coordinate the Business Data Leads, Data Owners, and SMEs assigned to support the programme. This will include:
- Clearly defining the activities and deliverables required from each business area.
- Providing templates, guidance, and practical support to business teams.
- Breaking complex data requirements into clear, manageable activities.
- Setting deadlines and tracking delivery against the programme plan.
- Challenging business teams where data quality or progress is insufficient.
- Facilitating workshops to resolve cross-functional data issues.
- Escalating unresolved issues through programme governance.
- Ensuring appropriate business ownership and sign-off of migrated data.
The role is accountable for driving the data process, while ensuring that responsibility for the accuracy and quality of business data remains with the appropriate business Data Owners.
Key Deliverables
The Data Migration Lead will be accountable for delivery of:
- Data migration strategy and approach.
- Detailed data workstream plan.
- Data scope and migration inventory.
- Data ownership and accountability matrix.
- Data quality assessment and cleansing plans.
- Data rationalisation and standardisation plans.
- New and reference data creation plans.
- Data mapping and transformation requirements.
- Data readiness reporting and KPIs.
- Migration cycle plans and results.
- Data validation and reconciliation processes.
- Data cutover plan and runbook.
- Data go/no-go criteria.
- Final migration reconciliation and business sign-off.
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Experience and Skills
Essential
- Significant experience in a Data Migration Lead, Data Workstream Lead, or equivalent role within a major ERP implementation or transformation programme.
- Demonstrable experience of taking responsibility for ERP data from initial assessment and cleansing through multiple migration cycles to final cutover and go-live.
- Strong understanding of ERP master, reference, transactional, and financial data.
- Experience leading data cleansing, rationalisation, and standardisation activities.
- Experience managing migration of open transactional data and inventory at go-live.
- Experience of financial data migration and reconciliation.
- Strong project management skills, with the ability to manage complex dependencies and demanding programme deadlines.
- Experience coordinating business Data Owners, SMEs, and functional teams rather than relying solely on a technical migration team.
- Strong stakeholder management skills and the ability to challenge senior business stakeholders where data quality or delivery is at risk.
- Strong understanding of data validation, reconciliation, and business sign-off.
- Ability to translate technical data migration requirements into clear activities for business users.
- Highly structured and delivery-focused, with strong attention to detail.
Highly Desirable
- Previous experience of Infor LN/ Infor CloudSuite Industrial Enterprise implementations and data migration.
- Understanding of Infor LN data structures and key functional domains.
- Experience of multi-site, multi-company, or international ERP implementations.
- Experience within manufacturing, engineering, distribution, or other complex operational environments.
- Experience of ERP cutover planning and execution involving manufacturing, warehouse, supply-chain, and finance operations.
Key Relationships
The Data Migration Lead will work closely with:
- ERP Programme Director/ Programme Manager
- Business Programme and Change Leadership
- IT Programme Leadership
- Business Process Owners
- Infor LN Functional Leads/ Product Owners
- Finance, Manufacturing, Supply Chain, and Operations Leads
- Business Data Leads and Data Owners
- Subject Matter Experts
- ERP implementation partner
- Technical Data Migration/ Integration teams
- Testing and Cutover Leads
Measures of Success
Success in the role will be demonstrated by:
- Business data being cleansed, rationalised, and approved to agreed programme milestones.
- New and reference data being created and validated in time to support testing and go-live.
- Successful completion of migration rehearsals with progressively reducing defects and reconciliation issues.
- Clear ownership and active engagement from business Data Owners.
- Data migration being completed within the agreed cutover window.
- Successful reconciliation of inventory, financial, and transactional data.
- No material operational disruption at go-live attributable to migrated data.
- Formal business acceptance and sign-off of the migrated data.
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