Data Migration Project Manager (Senior or Lead)

Boeing•Long Beach, CA

1d•$133,450 - $234,600•Hybrid

About The Position

We are seeking a seasoned Data Migration Project Manager (Senior or Lead) to lead tactical delivery of enterprise data migrations involving Enterprise Resource Planning (ERP), Product Data Management (PDM), and Manufacturing Operations Management (MOM). This position is located in Hazelwood, MO; Long Beach, CA; North Charleston, SC; or Seattle, WA. The Project Manager will coordinate contractors and vendor services, manage risks/issues/opportunities, and ensure data migration pilots and data transformation cycles are delivered to scope, schedule and quality. This role requires strong program execution skills and the ability to work across technical and business stakeholders in a regulated environment.

Requirements

5+ years of experience with Information Technology program or project management
5+ years of experience in program or portfolio management with data migrations as part of complex enterprise-wide digital transformations
Experience with large-scale data migration between different database platforms
Experience with with SAP S/4HANA, Teamcenter, Opcenter or equivalent enterprise systems
Experience leading others and directing all phases of assigned cross-organizational or business unit projects demonstrating proficiency in all project management areas in accordance with accepted project management standards in the industry
Experience managing change control processes and to produce clear status reporting and recovery plans
Experience with managing high-pressure data migration project schedules
Experience with program and project management tools (e.g., Jira, Confluence, Asana, Smartsheet, or equivalent)
Experience analyzing data and generating metrics reports
Able and willing to travel up to 25% of the time domestically
Must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.
Requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required.

Nice To Haves

10 or more years of related work experience or an equivalent combination of education and experience
Bachelor’s degree in Project Management, Engineering, Computer Science, Business, or related discipline (or equivalent experience)
PMP or equivalent project management certification
Prior experience within aerospace, defense, manufacturing or other regulated industries
Experience coordinating migrations involving large binaries (CAD/attachments) and PDM to MOM system interfaces
Familiarity with reconciliation and data validation processes (checksums, counts, reconciliation dashboards)
Experience managing mixed teams of employees, contractors and vendor professional services
Strong facilitation skills for executive steering committees and technical war‑rooms
Comfortable with remote and distributed team coordination across time zones
Excellent written & verbal communication skills

Responsibilities

Build and maintain detailed project plans for data migration pilots and data transformation Extract, Transform, Load (ETL) cycles (tasks, owners, dependencies, timelines)
Coordinate day-to-day activities of contractors, vendor purchase services and internal Subject Matter Experts (SMEs); validate deliverables against acceptance criteria and Statements of Work (SOWs)
Track data migration Key Performance Indicators (KPIs) and produce executive ready reporting (reconciliation rates, throughput, defect trends, cutover adherence)
Drive issue resolution: facilitate remediation actions, prioritize work with data leads, and escalate unresolved critical items to Senior Manager
Enforce schedule and decision Service Level Agreements (SLAs) to keep data migration cycles on track; coordinate resource leveling and contractor allocation
Capture lessons learned, update runbooks/templates and drive continuous improvement across data transformation cycles