Data Lead Enterprise Data Migration
Experience: 12+ Years
Location: San Diego, CA/ Charlotte, NC
Job Type: Contract
Position Overview
We are seeking an experienced
Data Lead to own and drive the end-to-end data workstream for a large-scale
financial services platform migration program. The ideal candidate will bring strong expertise in enterprise data migration, reconciliation, data quality, testing, cutover planning, and stakeholder management.
This is a senior, client-facing leadership role requiring close collaboration with Data Engineering, Application Development, QE, Architecture, Product, and Business teams to ensure successful and controlled migration execution.
Key Responsibilities
- Own the
end-to-end data migration strategy, planning, and execution across source and target platforms. - Define migration sequencing, source-to-target mapping, transformation rules, dependencies, cutover, rollback, and recovery strategies.
- Establish
data validation, reconciliation, and data quality frameworks to ensure migration accuracy and completeness. - Partner with QE teams to define migration testing strategies and support
SIT, UAT, defect triage, and production validation. - Lead production migration planning, cutover readiness, deployment activities, and post-production hypercare.
- Drive migration governance, risk management, issue resolution, and stakeholder sign-offs.
- Lead client workshops and communicate migration strategy, status, risks, dependencies, and key decisions to senior stakeholders.
- Coordinate across Data Engineering, Application, QE, Architecture, Product, and Business teams.
- Lead and provide direction to onsite/offshore data teams and migration SMEs.
- Ensure migration activities align with application releases, environment readiness, and overall program milestones.
Required Skills & Experience
- 12+ years of experience in Data Engineering, Data Management, Data Integration, or Data Migration.
- 5+ years of experience leading enterprise-scale data migration initiatives.
- Strong experience with
data migration strategy, source-to-target mapping, transformation, conversion, and reconciliation. - Strong understanding of
Data Warehousing, ETL, SQL, Data Quality, and Data Governance. - Hands-on experience defining
data reconciliation and validation frameworks. - Experience with
migration testing, SIT/UAT, production cutover, rollback, and hypercare. - Experience with cloud data platforms;
AWS experience is preferred. - Strong client-facing and executive stakeholder management experience.
- Experience leading cross-functional and onsite/offshore teams.
- Strong communication, workshop facilitation, risk management, and program governance skills.
Preferred Experience
- Experience within
Wealth Management, Brokerage, Banking, Insurance, or broader Financial Services. - Experience migrating
customer, account, advisor, policy, transaction, or financial data. - Experience with large-scale platform modernization or legacy-to-cloud migration programs.
- Understanding of feature-flag-enabled migration approaches.
- Exposure to automated migration testing, reconciliation frameworks, or AI-assisted testing is an advantage.