Project Manager – Data Migration

Job Title: Project Manager – Data Migration

Location: Middletown, PA (Hybrid)

Duration; Long Term

Note: Hybrid work environment is expected to be primarily remote off-site with one or two week per month on-site in Middletown, PA; varying with project needs.

Job Description

We are seeking an experienced Project Manager with strong Data Migration experience to lead and manage end-to-end data migration initiatives. The ideal candidate will have a proven track record managing complex enterprise data migration projects, coordinating cross-functional teams, managing project timelines and risks, and ensuring successful migration with minimal business disruption.

The Project Manager will work closely with business stakeholders, technical teams, data architects, application teams, vendors, and leadership to plan, execute, monitor, and deliver data migration activities.

Key Responsibilities

• Lead end-to-end data migration projects, from planning and assessment through migration, validation, cutover, and post-migration support.
• Develop and maintain detailed project plans, schedules, milestones, dependencies, and resource plans.
• Coordinate with Data Migration, ETL, Data Architecture, Application, QA, Business, Infrastructure, and Production Support teams.
• Define migration scope, objectives, deliverables, timelines, and success criteria.
• Manage migration activities including data extraction, transformation, cleansing, mapping, validation, reconciliation, loading, and cutover.
• Coordinate multiple migration waves and ensure readiness for each migration cycle.
• Establish and track data migration milestones, deliverables, dependencies, risks, issues, and action items.
• Work with technical teams to monitor ETL/data migration development and testing progress.
• Coordinate SIT, UAT, mock migrations, dress rehearsals, production migration, and post-migration validation.
• Ensure data quality, completeness, accuracy, and reconciliation requirements are met before production cutover.
• Develop and manage cutover plans, rollback plans, migration runbooks, and contingency plans.
• Identify project risks and proactively develop mitigation and contingency strategies.
• Manage project scope and change requests while maintaining project timelines and budgets.
• Conduct regular project status meetings and provide weekly/monthly status reports to leadership and stakeholders.
• Facilitate communication between technical and business teams and resolve project-level blockers.
• Manage third-party vendors and offshore/onshore teams involved in migration activities.
• Ensure compliance with organizational security, privacy, governance, and data management standards.
• Track project financials, resource utilization, and overall project performance where applicable.
• Support production stabilization and transition activities following migration.

Required Qualifications

• 8 years of experience in IT Project Management, with significant experience managing Data Migration projects.
• Proven experience leading enterprise-scale data migration or application modernization initiatives.
• Strong understanding of the data migration lifecycle, including extraction, transformation, cleansing, mapping, validation, reconciliation, loading, and cutover.
• Experience managing multiple migration waves and complex dependencies.
• Experience coordinating technical teams including Data Engineers, ETL Developers, Data Architects, QA, Business Analysts, and Application teams.
• Strong experience with project planning, risk management, issue management, dependency tracking, and stakeholder management.
• Experience with Agile, Scrum, Waterfall, or hybrid project methodologies.
• Strong communication, leadership, presentation, and problem-solving skills.
• Experience working with distributed onshore/offshore teams.

Technical Knowledge

Candidates should have a good working understanding of some of the following:

• ETL / Data Migration tools
• SQL and relational databases
• Oracle / SQL Server / PostgreSQL
• Cloud data platforms such as AWS, Azure, or GCP
• Data warehouses and data lakes
• APIs and system integrations
• Data mapping and transformation
• Data quality and reconciliation
• Master Data Management (MDM)
• Application modernization
• Legacy system migration
• Data archival and conversion

Project Management Tools

Experience with tools such as:

• Jira
• Confluence
• Microsoft Project
• Azure DevOps
• Smartsheet
• ServiceNow
• MS Teams

Preferred Certifications

• PMP
• PMI-ACP
• Certified ScrumMaster (CSM)
• SAFe certification
• ITIL certification