Description
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Job Title: Data Lead – Reconciliatio
Job Summary
We are seeking an experienced **Data Lead – Reconciliation** to join our team and take ownership of a large-scale data reconciliation initiative, particularly within insurance and financial services 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, 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.
- 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** or Financial Services 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
– Exposure to document digitalization or archive transformation projects.
- Soft Skills
– Proactive and problem-solving mindset.
– Ability to mentor junior team members and foster knowledge sharing.
– Detail-oriented with a strong focus on data accuracy and process optimization.