Oracle Fusion Data Migration Lead

About the role

The Oracle Fusion Data Migration Lead will own and maintain the end‑to‑end migration strategy for a complex Oracle Fusion implementation. This role drives data profiling, mapping, cleansing and migration execution to ensure a smooth cut‑over and business acceptance.

Key responsibilities

• Maintain the migration strategy and CV.010 Data Migration Pack, establishing inventory, source systems and acceptance criteria.
• Define and obtain approval for source‑to‑target mappings, transformation rules, load methods and reconciliation controls.
• Plan and run migration cycles through discovery, profiling, mapping, cleansing, trial runs and production migration.
• Coordinate sample data for early solution validation and CRP activities.
• Execute mock and full‑list migration cycles, refining scripts and mappings based on evidence.
• Manage migration defects, rejected records and controlled re‑runs across modules.
• Produce reconciliation reports covering object counts, financial values and exceptions.
• Coordinate production‑data masking in lower environments with security leads.

Required profile

• 10+ years of Oracle ERP / Oracle Fusion data migration experience on complex implementations.
• Hands‑on knowledge of Oracle Fusion migration mechanisms such as FBDI, HDL or BICC.
• Proven experience in data discovery, profiling, inventory, source‑to‑target mapping and transformation rule definition.
• Experience planning and executing mock and production migration cycles, including controlled re‑runs.
• Strong reconciliation capability using object counts, transaction totals and exception analysis.
• Cut‑over planning experience covering extraction freeze, load sequencing, validation and sign‑off.
• Ability to coordinate across multiple Fusion functional workstreams, integration and security teams.

Required skills

• Oracle ERP and Oracle Fusion
• FBDI, HDL, BICC migration tools
• Data profiling and discovery
• Source‑to‑target mapping and transformation rules
• Data cleansing and reconciliation
• Data masking for non‑production environments