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Design, implement and deploy SAP MM solutions; supervise business diagnosis, process and architecture design, data quality assurance, testing and implementation activities; develop and test business processes and KPIs. Maintain SAP MM configuration, integration, deployment and technical architecture skills. Collaborate in team environments and apply analytical problem-solving with strong communication and leadership.

Build and administer secure, scalable Databricks environments on AWS. Responsibilities include configuring Unity Catalog and governance controls, designing VPC and PrivateLink network architectures, managing IAM and access models, developing production data pipelines, implementing Terraform infrastructure as code, establishing CI/CD deployments, and enforcing cluster policies and platform standards.

Leads a multidisciplinary 3D, reality-capture, digital twin, and XR team. Owns end-to-end capture-to-twin and capture-to-XR production, including scanning, photogrammetry, modeling, optimization, simulation integration, quality standards, resource planning, and delivery. Guides high-fidelity asset creation using Blender, Maya, 3ds Max, Omniverse, Unity, and Unreal Engine, while partnering with engineering, supply chain, and operations stakeholders on industrial and manufacturing visualization solutions.

Leads a multidisciplinary 3D team delivering reality-capture, digital twin, and XR environments for engineering, manufacturing, and supply chain use cases. Owns capture-to-deployment pipelines, including 3D scanning, photogrammetry, modeling, CAD/BIM integration, asset optimization, simulation, and immersive application delivery. Manages schedules, resources, quality standards, technical workflows, stakeholder alignment, and team development while providing hands-on expertise in 3D production and real-time visualization.

Leads end-to-end discrete-event simulation architecture and delivery using Siemens Tecnomatix Plant Simulation across manufacturing, logistics, warehousing, and Industry 4.0 environments. Defines models, data strategies, validation, experiments, optimization, and integrations with MES, WMS, ERP, IoT, and digital twins. Provides technical governance, client advisory, stakeholder management, mentoring, proposal support, and development of reusable simulation capabilities.

Configure and support Salesforce Conga CLM and other packaged or SaaS applications. Adapt features, manage releases, maintain system stability, and integrate APIs and low-code platforms. Translate business requirements into technical solutions, collaborate across teams, provide subject-matter expertise, lead team decisions, monitor performance, share best practices, and drive continuous improvement.

Lead a multidisciplinary 3D, reality-capture, digital twin, and XR team. Own end-to-end production pipelines spanning laser scanning, photogrammetry, modeling, asset optimization, simulation, and immersive deployment. Establish quality standards, manage schedules and resources, and deliver accurate digital twin environments for engineering, manufacturing, and supply chain use cases. Collaborate with engineering, IoT, and simulation teams to integrate operational data and provide real-time visualization across platforms such as NVIDIA Omniverse, Unity, and Unreal Engine.

Leads the architecture, development, testing, and maintenance of Siemens Tecnomatix Plant Simulation models using SimTalk. Translates manufacturing requirements into simulation solutions for production, logistics, warehousing, and material handling. Performs capacity, throughput, bottleneck, and optimization analysis; validates models; integrates systems and data; troubleshoots issues; documents solutions; supports demonstrations; and mentors junior developers.

Lead the architecture, design, and delivery of enterprise NVIDIA Omniverse solutions for digital twins, industrial metaverse, physical AI, simulation, robotics, and smart environments. Define integration strategies, establish development standards, lead technical workshops and proof-of-concepts, mentor distributed engineering teams, collaborate with stakeholders, support proposals, and evaluate emerging NVIDIA technologies.

Leads end-to-end discrete-event simulation architecture and delivery using Siemens Tecnomatix Plant Simulation across automotive manufacturing, logistics, warehousing, and Industry 4.0 environments. Owns modeling, data strategy, validation, optimization, MES/WMS/ERP and IoT integration, technical governance, stakeholder advisory, and actionable operational recommendations. Mentors simulation teams, develops reusable accelerators, supports proposals and estimation, and contributes to simulation Center of Excellence capabilities.