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ACENSI is looking for a Data Lead - Reconciliation for one of their clients based in Brussels
We are looking for an experienced Data Lead – Reconciliation for our client's team and take ownership of a large-scale data reconciliation initiative, particularly within insurance environments. You will lead end-to-end data reconciliation efforts including migration validation, audit trail implementation, and data accuracy assurance, ensuring that both client and internal systems are aligned. This role is ideal for someone with a proven track record in data migration, reconciliation, the insurance industry and technical leadership, with hands‑on expertise in ETL tools, SQL, and legacy system integration.
Key Responsibilities
* Lead and coordinate data reconciliation initiatives across cross‑functional teams.
* Design and implement reconciliation frameworks to validate complex data migrations.
* Perform root cause analysis of data mismatches and ensure resolution across systems.
* Collaborate with client stakeholders to align business requirements with reconciliation logic.
* Guide teams (on‑site and nearshore) in technical implementation of data quality controls.
* Build documentation, dashboards, and reports for audit trails and reconciliation processes.
* Support post‑migration validation and continuous improvement in data integrity workflows.
* Validate and implement data transformation rules and mappings.
Required Skills & Qualification
* Minimum 8 years of experience in data migration, reconciliation, or related fields.
* Strong SQL skills and proficiency with SQl‑tools.
* Demonstrated leadership in managing data teams and complex data projects.
* Deep domain expertise in Life Insurance is a must.
* Experience with ETL processes, data validation, error debugging, and reporting.
* Strong communication skills in French (Native/Bilingual) and English (Professional Working).
Preferred Qualifications
* Prior experience as a project leader or technical lead in a data‑intensive migration program.
* Familiarity with data visualization tools.
* Classical life insurance knowledge.
Soft Skills
* Proactive and problem‑solving mindset.
* Ability to operate in an undocumented legacy environment, gather information independently.
* Structure information, develop recommended solutions/approaches and guide them towards business validation.
* Ability to mentor junior team members and foster knowledge sharing.
* Detail‑oriented with a strong focus on data accuracy and process optimization.
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