Ralph Konitzer-Product Owner / Business Owner

Experienced test manager with proven expertise in end-to-end quality assurance, healthcare IT, and the German military environment.

End-to-End Test Management: 17 years of overseeing the entire test cycle at a leading German telecom provider (B2B) – from test strategy and test case creation to coordinating nearshore teams, interface testing, and release recommendation on the go-live weekend. Complex system landscapes with SAP, Siebel Oracle, Netcracker, and many in-house developments.

Inside Military Perspective: 12 years of active service in aviation (1992–2004). Firsthand knowledge of the command structure, documentation requirements, and the chain of consequences from medical findings to personnel decisions.

Operational Healthcare IT: GDT interface for PVS systems (time tracking, on-premise/cloud, KRITIS-compliant). Developed a QEaaS concept for end-to-end test coverage along clinical process chains (KIS → LIMS → PDMS → MDE → billing) and presented it to the leadership circle of Entscheiderfabrik (Prof. Dr. Pierre-Michael Meier).

Regulated Federal Environments: Project management in organizations with distributed governance and high compliance density: GEDISA (16 state pharmacists' associations), welfare association (≈4,000 employees, 5 regions), church-based professional association (≈2,500 employees). Fully under GDPR, BSI basic protection, ISO 27001.

Multi-level Client Structures: Experience with triangular structures (client → contractor → end user) from large telecom projects and federal organizations. Directly transferable to the BWI → CGM → Bundeswehr setup.

Incident & Escalation Management: Established incident processes, KPI-based reporting at levels 2–3, defect triage, escalation control, and go/no-go preparation for stakeholders and steering committees.

AI-Driven Quality Assurance: Designed and implemented AI-supported test case generation from BPMN, Confluence, and free text (Claude API, Anthropic SDK). Six-stage anonymization pipeline: personal data is detected and removed before each AI call, with checks to prevent data mixing across tenants (Microsoft Presidio). Senior validation of each AI draft as a methodological safeguard. EU AI Act-compliant labeling of all AI outputs (Art. 13/52). Ongoing training "AI Expert in the Enterprise" (Scaly Academy, 2026) focused on legally compliant AI use under GDPR and the EU AI Act.

The combination of deep test management, insider military perspective, and healthcare IT practice is the core of this profile.