Director, Digital Engineering & Product Transformation

Dematic

Plano (TX)

On-site

USD 170,000 - 212,000

Full time

4 days ago

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Benefits offered by this job

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Global Opportunities

Job summary

Dematic seeks a Director, Product Process Excellence & BT to lead strategy, governance, and execution transforming drawing-based product knowledge into digital, change-controlled definitions. You will align Product Development, Management, IT, Manufacturing, and BT to scale the digital thread with Teamcenter, Solution Suite, SAP S/4HANA, CAD, and related platforms.

The role enhances data quality, reuse, traceability, and manufacturing readiness while enabling AI with human review and release

Qualifications

>10+ years in engineering, digital transformation, or product development processes.
Senior-level product development or project engineering experience.
Proven leadership in functional processes and technology deployment.
Deep knowledge of enterprise systems and deployment methodologies.
Proven leadership experience managing teams and driving organizational change.
Strong knowledge of Siemens PLM systems, CAD tools, simulation software, and model-based engineering.
Familiarity with cloud-based platforms, data analytics, and automation technologies.
Strong stakeholder management, problem-solving, and communication skills.
Familiarity with AI concepts, machine learning applications, and digital transformation strategies.
Ability to understand and align with company vision and program objectives.
Experience in PLM systems and ERP system deployments.
Solid understanding of Maestro.

Responsibilities

Lead Design-to-Build (DtB) workstream execution and deployment across North America.
Partner with global BT teams to define and optimize business processes.
Collaborate across Product Development, Product Management, IT, Manufacturing, and BT teams for adoption of digital capabilities.
Define and execute global strategy for product configuration and platforming.
Establish governance for digital engineering processes, tools, and data management.
Lead selection, deployment, integration, and lifecycle management of PLM, CAD, simulation, MBSE, and related systems.
Drive integration between engineering and enterprise systems to improve data continuity and automation.
Develop and enforce standards, governance, and best practices for engineering tools and compliance.
Drive adoption of AI-enabled solutions within R&D to accelerate innovation and optimize workflows.
Evaluate emerging technologies and industry best practices to strengthen capabilities.