Data Lead 

Start Date: ASAP

End Date: 31/12/2025, with an option for extension

Location: Brussel

Job Summary:

We are looking for an experienced Data Lead – Reconciliation to join our 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 the 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 & Qualifications:

• 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.