Data Lead

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.