Senior Product Manager

Cybertec, Inc.; Reston (VA); On-site; USD 120,000 - 160,000; Full time

Job summary

Cybertec, Inc. is seeking a Senior Product Manager for a multi-year engagement to retire legacy systems and lead complex data migration efforts.

You will analyze legacy data sources, map data, define business and technical requirements, and guide end-to-end conversion with governance considerations. Work closely with Product Support, EPMO, Data Strategy, and technical delivery teams to ensure data integrity, lineage accuracy, and alignment with business rules.

Qualifications

• Lead legacy data conversion from analysis to migration.
• Define business and technical data requirements for conversion.
• Collaborate with IT and data teams to ensure data integrity.
• Provide domain expertise in insurance data structures.

Responsibilities

• Review legacy data across historical and current systems.
• Document data mappings, rules, and validation criteria.
• Guide end-to-end migration activities and testing.
• Support governance, reporting, and knowledge transfer to stakeholders.

Job description

Project 1: Senior Product Manager (5 resumes needed)
Term: potentially 2 years

Project Description:
The organization is retiring multiple legacy systems and requires expert consulting
support to analyze, map, convert, and migrate legacy data. The engagement includes
reviewing legacy data sources, defining business and technical requirements, and
guiding end-to-end migration activities.

The Senior Product Manager will lead the transition from Lead functional and technical
analysis for legacy data conversion. Collaborate with Product Support, EPMO, Data
Strategy, and technical delivery teams. Ensure data integrity, lineage accuracy, and
alignment with business rules. Provide domain expertise in insurance data structures
and dependency mapping.

Project Phases:
Discovery & Assessment

• Review legacy data across historical and current systems.
• Document existing data structures, definitions, flows, and constraints.
• Identify risks, gaps, and limitations impacting the conversion.

Data Mapping

• Define detailed business and functional data conversion requirements.
• Develop source-to-target mapping documents and data dictionaries.
• Facilitate SME validation and requirement sign off.

Migration Planning

• Collaborate with technical teams to define migration approach, sequencing, and
  transformation logic.
• Develop conversion testing scenarios and acceptance criteria.
• Support cutover planning and quality controls.

Execution Support

• Participate in conversion execution cycles.
• Review data exceptions and support defect resolution.
• Validate completeness, accuracy, and adherence to business rules.

Governance & Documentation

• Ensure alignment with enterprise data governance standards.
• Collaborate with IT Data Architect
• Maintain complete documentation of conversion logic, lineage, and decisions.
• Provide regular reporting to project leadership.

Deliverables

• Legacy Data Assessment Report
• Source-to-Target Data Mapping Workbook
• Business Rules Inventory & Data Dictionary
• Conversion Test Plan & Acceptance Criteria
• Migration Execution Logs & Reconciliation Report
• Final Conversion Summary & Knowledge Transfer Materials