Data Migration Lead with PM Exp

Overview

Hybrid
Depends on Experience
Full Time

Skills

Data Migration
Data Extraction
Extract
Transform
Load
Data Mapping
Project Management
Mapping
Migration
Data Structure
Data Validation
Data Quality
Data Integrity

Job Details

A Data Migration Lead is responsible for overseeing and managing the end-to-end process of migrating data from one system to another. This role requires a strong understanding of data management, ETL (Extract, Transform, Load) processes, and stakeholder coordination.

Define data migration requirements across the program based on legal, compliance and regulatory requirements by working with these parties.
Work with workstream leads across datacenter, telephony and end user work streams to ensure data migration guidelines are followed.
Document and track data migration activities across workstreams to satisfy audit requirements.
Planning & Strategy
Develop the overall data migration strategy and approach.
Assess the source and target systems for compatibility and data quality.
Define migration methodologies, tools, and timelines.
Work with business and technical teams to ensure alignment with project goals.
Data Assessment & Mapping
Analyze existing data sources, structures, and dependencies.
Define data mapping and transformation rules between old and new systems.
Ensure data integrity, consistency, and validation rules are in place.
Migration Execution & Oversight
Oversee the ETL (Extract, Transform, Load) process for data migration.
Lead data extraction, cleansing, transformation, and loading activities.
Monitor migration progress and address any data inconsistencies or errors.
Implement data reconciliation and validation procedures.
Risk Management & Troubleshooting
Identify data migration risks and develop mitigation strategies.
Troubleshoot migration issues, including data corruption, loss, or formatting errors.
Ensure data security and compliance with relevant regulations (e.g., GDPR, HIPAA).
Stakeholder Communication & Collaboration
Work closely with business analysts, data engineers, and IT teams.
Communicate migration progress, risks, and solutions to stakeholders.
Train end-users and provide post-migration support.
Testing & Validation
Conduct data validation and reconciliation checks before go-live.
Support User Acceptance Testing (UAT) to ensure data accuracy.
Perform dry-run migrations to identify potential failures before the final cutover.
Post-Migration Support
Ensure proper documentation of migration activities and lessons learned.
Support issue resolution after migration go-live.
Optimize data structures in the new system for performance improvements."

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