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# Technical Portfolio Lead - 3D AI Innovation

- **Company:** Siemens Energy
- **Location:** Berlin, Germany
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Machine Learning, Scrum Methodology, Systems Development Life Cycle, Software Engineering, Information Technology
- **Published:** November 4, 2026
- **Apply:** https://www.myability.jobs/de/node/198437/apply-external

## About the Role

* Bachelor's degree in Mechanical Engineering, Aerospace Engineering, Computer Science, or a related field required; Master's degree or PhD preferred.
 * Demonstrated success leading technical projects and program portfolios within engineering, technology, or research environments in industry or academia. Additional experience may be considered for placement in a more senior-level role.
 * Several years of engineering experience (or relevant PhD research experience), preferably within the gas turbine, aero turbine, aerospace propulsion, power generation, or related industries. Ability to understand complex technical topics, evaluate system architectures, and collaborate effectively with AI/ML development teams. Equivalent combinations of education and experience may be considered.
 * Strong communication, interpersonal, analytical, and problem-solving skills, with a proven ability to translate complex technical concepts into clear business insights, drive data-driven decision-making, and lead continuous process improvements.
 * Highly adaptable and resilient professional with exceptional negotiation and conflict-resolution skills, demonstrated ability to navigate ambiguity, lead through rapid change, and build alignment across diverse stakeholders with competing priorities.
 * Project Management Professional (PMP) certification or an equivalent project management credential (e.g., Agile Practitioner, Scrum Master, or Product Owner certification) preferred. Experience with product and software development lifecycles (PDLC/SDLC), from research and development through deployment and operational maintenance, is highly desirable.

## Description

Überblick
Siemens Energy sucht eine Person als Technische:r Portfolio Leiter:in. Du arbeitest im Bereich 3D KI Ingenieurwesen. Du brauchst Erfahrung in technischer Projektleitung und Programmportfolios. Wichtig sind Kommunikationsfähigkeiten und Problemlösungsfähigkeiten. Ein Abschluss in Maschinenbau oder Informatik ist erforderlich.
Erstellt mit künstlicher Intelligenz

A Snapshot of Your Day
As a Technical Portfolio Lead for the 3D AI Engineering Center of Excellence (CoE), you will lead the delivery of next-generation AI and 3D machine learning initiatives for large-scale industrial technologies. You will align strategy and execution across programs and projects, coordinate multidisciplinary teams, and guide decisions with a strong engineering perspective. You'll shape the future of 3D AI engineering by translating portfolio priorities into actionable roadmaps, driving stakeholder alignment, and ensuring outcomes are delivered on time, within budget, and with measurable business impact.

How You'll Make an Impact

 * Lead the end-to-end delivery of complex AI/ML engineering programs, system integrations, and digital engineering initiatives within the 3D AI Engineering Center of Excellence.
 * Own portfolio governance, including roadmap execution, milestone tracking, resource planning, budget management, KPI reporting, and executive-level portfolio health reviews.
 * Partner with senior business leaders and technical teams to translate strategic objectives into actionable engineering requirements and delivery plans.
 * Drive cross-functional alignment across business, engineering, and IT organizations while managing stakeholder expectations and organizational priorities.
 * Champion agile delivery practices, optimizing sprint planning, backlog management, and continuous improvement processes to maximize team performance.
 * Proactively manage risks, dependencies, change initiatives, and the adoption of AI-driven design, simulation, surrogate modeling, and digital engineering capabilities.