Experienced Senior Manager to lead the end-to-end data migration for core insurance implementation, familiar with defining data migration strategy, governing the mock-run execution and reconciliation, and ability to translate complex data issues into clear business impacts and options.
Key responsibilities
- Develop data migration strategies and plan
- Develop reconciliation, cleansing, mock-run and cutover approach
- Lead a team to manage and track the data migration timeline (e.g. data mapping, ETL build, data cleansing, etc.) and
- Drive data mapping discussion and resolutions of ETL/ reconciliation/cleansing issues
- Proactively identify and track issues, risks, and dependencies to closure
- Propose mitigations/ resolutions for issues identified (e.g. data cleansing approach)
- Manage overall mock run execution and data reconciliation including drive discussion to resolve open defects/ data discrepancies and optimize the migration runtime
- Define freeze periods and migration windows, and develop the migration runbook
- Lead the production migration, validation, reconciliation, issue resolution, and provide cutover progress update
Skills and Attributes for Success
- Strong consulting and advisory mindset.
- Deep expertise in data migration strategy and execution.
- Strong understanding of insurance business processes and data domains.
- Ability to engage and influence senior stakeholders and C-suite executives.
- Experience leading large transformation programs across business and technology teams.
- Strong analytical, problem-solving, and decision-making capabilities.
- Excellent communication, facilitation, and client management skills.
- Ability to manage multiple stakeholders in fast-paced environments.
Key Requirements
- Minimum 10 - 12 years of experience in data migration, data management, or system implementation projects, preferably within the insurance industry.
- Proven experience leading end-to-end data migration for Core Insurance/PAS transformation programs.
- Strong understanding of data migration lifecycle, including data profiling, data mapping, ETL development, data cleansing, reconciliation, mock runs, and cutover execution.
- Experience working with large and complex datasets across policy, claims, billing, collections, and customer domains.
- Ability to manage cross-functional teams comprising business users, system integrators, data analysts, and technical resources.
- Strong stakeholder management skills with the ability to communicate complex data issues in business-friendly terms.
- Experience identifying, managing, and mitigating project risks, issues, and dependencies.
- Familiarity with data migration tools, ETL processes, and data quality frameworks.
- Excellent leadership, communication, and problem-solving skills.
