ALM Solution Architect

Design, configure, and maintain ALM platforms (JAMA, IBM Jazz, PTC Integrity), including enterprise-specific customizations, AI-augmented capabilities, and standardized configurations that support scalable engineering processes.

Define and implement end-to-end ALM solution architectures, ensuring seamless interoperability with enterprise applications, data platforms, and AI/analytics services.

Collaborate with external service providers to ensure stable and efficient system operation and monitoring. Coordination of incidents, maintenance activities, and service delivery including overseeing vendor performance to ensure compliance with SLAs, security standards, and continuous service improvements.

Develop, govern, and optimize integration strategies across the ALM toolchainincluding EA tools, GitHub/Subversion, CI/CD systems, and test management platforms—while incorporating AI-based automation and intelligent data flows.

Establish governance frameworks, process workflows, templates, and standards that support consistency, compliance (e.g., ISO 26262, ASPICE, INCOSE), AI readiness, and end-to-end traceability.

Ensure compliance and audit readiness by maintaining robust traceability, enforcing engineering standards, and applying AI-supported consistency and quality checks across development artifacts.

Lead Change Advisory Board (CAB) processes for ALM-related enhancements, ensuring structured evaluations, risk assessments, and alignment with enterprise architecture.

Organize and facilitate workshops with engineering, IT, and business teams to gather requirements, harmonize processes, and guide the adoption of ALM best practices and AI-enabled workflows.

Drive cross-functional discussions to define lifecycle workflows, governance models, integration strategies, and data-flow architectures across the product development lifecycle.

Provide technical leadership and mentoring to implementation teams during ALM tool deployments, integrations, and AI capability rollouts.

Oversee and collaborate with support teams, ensuring timely issue resolution, service quality, continuous improvement, and the introduction of predictive or AI-based support mechanisms.