Role Summary The ALM Migration Analyst will analyze legacy RV&S; / ELM-style data and support accurate migration into Siemens Polarion ALM. The role profiles source data, documents source-to-target mapping, defines transformation and validation rules, supports pilot migrations and dry runs, reconciles counts and relationships, logs migration defects, and helps prove that migrated data is complete, accurate, traceable, and usable for downstream teams.

Key Responsibilities

- Profile source ALM data across requirements, work items, defects, change requests, test artifacts, documents, workflows, fields, enumerations, users, attachments, comments, links, and history expectations.
- Document source-to-target mapping rules for artifact types, field names, data types, statuses, enumerations, priorities, users, relationships, hierarchy, attachments, and retention decisions.
- Identify data-quality issues such as duplicates, obsolete artifacts, missing mandatory values, broken links, inconsistent statuses, invalid enumerations, orphaned records, and incomplete ownership data.
- Partner with the ALM Functional Lead to confirm business meaning of source data and with Polarion Developers to convert mapping rules into migration scripts, import templates, or load configurations.
- Support migration extraction, transformation, loading, and rerun activities using approved tools, scripts, templates, logs, and migration runbooks.
- Execute reconciliation checks comparing source and target counts, critical fields, attachment presence, comments, hierarchy, link integrity, traceability relationships, and sample/full validation rules.
- Prepare migration defect logs with evidence, severity, root cause, affected records, remediation owner, and retest status.
- Support pilot migrations, dry runs, UAT data validation, final cutover readiness checks, and post-cutover data issue resolution.
- Maintain migration mapping documents, validation matrices, reconciliation reports, data-quality dashboards, and sign-off packages.
- Protect sensitive data by following agreed access, masking, audit, and retention rules during extraction, analysis, and migration validation.

Required Qualifications





- Experience supporting ALM, PLM, requirements, test, or engineering data migration projects with structured mapping and validation responsibilities.
- Working knowledge of legacy ALM systems such as PTC RV&S; , IBM DOORS / DOORS Next, PTC Windchill RV&S;, or comparable platforms.
- Understanding of Siemens Polarion ALM data concepts such as work items, LiveDocs, custom fields, statuses, link roles, test artifacts, dashboards, and permissions.
- Strong data analysis skills using Excel, SQL, CSV/XML/JSON, data profiling techniques, and reconciliation approaches.
- Ability to define and execute validation checks for completeness, field accuracy, hierarchy, relationships, attachments, comments, and traceability.
- Experience documenting mapping specifications, data-quality findings, migration defects, run logs, and evidence for business sign-off.
- Bachelor s degree in Engineering, Computer Science, Information Systems, Data Analytics, or equivalent practical experience.

Preferred Qualifications

- Experience with ReqIF exchange, Word/Excel import, REST/OData APIs, OSLC links, migration platforms, ETL tools, or custom migration scripts.
- Experience migrating regulated engineering data where traceability, audit trails, baselines, approvals, and validation evidence are significant.
- Knowledge of requirements-to-test traceability, defect-to-test relationships, release linkage, and historical data-retention decisions.
- Experience with data visualization or reporting tools such as Power BI, Tableau, Polarion reports, or equivalent dashboarding tools.
- Exposure to Agile/SAFe, engineering V-model, systems engineering, product development, or quality management practices.

Technical Skills

- Data profiling and reconciliation: record counts, field-level comparison,



mandatory-field checks, duplicate checks, hierarchy/link checks, and exception reporting.
- Migration mapping: artifact-type mapping, field transformations, enumeration mapping, workflow/status mapping, user identity mapping, link role mapping, attachment/comment handling, and retention rules.
- Tooling: RV&S;/EWM, DOORS/DOORS Next, Polarion ALM, Excel, SQL, CSV, XML, JSON, APIs, log analysis, and issue trackers.
- Validation: test scripts, UAT evidence, sampling plans, full-load checks for critical data, defect triage, remediation tracking, and sign-off reporting.
- Documentation: data inventory, source-to-target mapping specification, migration runbook inputs, reconciliation report, cutover checklist, and post-migration issue register.

Soft Skills / Behavioral Expectations

- High attention to detail and comfort working with ambiguous, inconsistent, or incomplete legacy data.
- Clear written communication for mapping rules, exceptions, data-quality issues, and validation evidence.
- Collaborates closely with functional SMEs, developers, testers, data owners, and vendor migration teams.
- Maintains disciplined issue tracking and evidence capture during dry runs and production cutover.
- Raises data-quality and traceability risks early and recommends practical remediation options.

Key Deliverables

- Source data inventory, data-profile report, and data-quality assessment.
- Source-to-target mapping specification for artifacts, fields, statuses, users, relationships, hierarchy, attachments, comments, and retention rules.
- Migration validation strategy, reconciliation workbook/report, sampling/full-check rules, and UAT data-validation checklist.
- Migration dry-run execution support, defect log, remediation tracking, and retest evidence.
- Cutover data readiness report and post-migration reconciliation/sign-off package.

"," Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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