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Senior Product Manager


Job Location:

Sacramento, CA - USA

Monthly Salary: Not provided by the employer
Posted: 22 May 2026 (30+ days ago)
Application Deadline: 19 August 2026
Vacancies: 1 Vacancy
The job posting is outdated and position may be filled

Job Summary

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. CONFIDENTIAL
Scope of Work/Work Breakdown Structure
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
Consultant Qualifications 5 10 years experience in Product Management or Senior Business/Data Analysis Strong background in data conversion mapping and migration methodologies
Experience with insurance data structures and legacy system constraints Ability to interpret technical APIs ETL logic and data exchange patterns Excellent communication facilitation and stakeholder engagement skills
Ability to Lead analysis and documentation activities Facilitate workshops and cross-functional alignment Produce all required deliverables Identify risks and recommend mitigation strategies
Legacy Systems & Data Expertise Ability to understand highly aged inconsistent and fragmented legacy data sources (including historical or archived formats). Supported by repeated internal sessions (e.g. Legacy Data Discovery Discussion) focused on uncovering data lineage and system constraints.3 Knowledge of deprecated technologies old schemas and non standard data structures. Skill in assessing data quality completeness and remediation needs. Data Mapping & Requirements Engineering Proficiency in translating business rules into detailed data conversion requirements. Ability to build target to source mapping data dictionaries and rule inventories. Experience facilitating SME driven validation similar to cross functional activities described in Legacy Data Discovery Data Governance.1 Data Governance & Compliance Alignment Understanding of data governance principles metadata lineage documentation and quality controls. Ability to ensure alignment with enterprise governance bodies-referenced as critical in governance related legacy discussions. CONFIDENTIAL AND PROPRIETARY MATERIAL. REVIEW AND USE RESTRICTED TO CONTRACTING OUT DISCUSSIONS
Competency in ensuring traceability and auditability of conversion decisions. Technical & Integration Knowledge Familiarity with ETL/ELT pipelines APIs batch feeds and data exchange frameworks. Understanding of systems inventory and dependencies seen in discussions in Logo Refresh Project - IT Support which emphasized system mapping across IT QA DevOps policy and claims systems.2 Ability to collaborate with infrastructure and integration teams on cutover and sequence planning. Data Validation Testing & Quality Management Experience defining test scenarios for conversion cycles. Ability to manage defect triage issue resolution and exception handling. Collaboration with QA teams-echoed in internal meeting notes identifying the need for QA alignment especially during transitions. Cross Functional Facilitation & Stakeholder Management Strong ability to work across Product EPMO technical teams operations and business units. Skill in facilitating workshops driving alignment and coordinating between groups-mirroring interaction patterns across legacy touchpoints (e.g. Legacy Data Discovery Touchpoint).4 Ability to translate between business and technical audiences. Project Leadership & Planning Expertise in scoping scheduling migration activities and identifying risks and dependencies. Coordinating phased rollouts and resource alignment similar to the phased coordination approach seen in Logo Refresh Project- IT Support.2 Ability to lead through ambiguity typical of legacy cleanup and system retirement. Analytical & Problem Solving Skills Competency in analyzing root causes of data issues across systems. CONFIDENTIAL AND PROPRIETARY MATERIAL. REVIEW AND USE RESTRICTED TO CONTRACTING OUT DISCUSSIONS WITH SEIU LOCAL 1000. NO COPYING DISTRIBUTION SCANNING