Physical and Spatial AI Manager
- Advise clients on leading practices in digital twin, spatial AI, OT modernization, edge-to-cloud integration, and physical environment transformation
- Translate business and operational priorities into transformation roadmaps and technical strategies
- Guide clients on platform choices and ecosystem decisions aligned to NVIDIA and/or GCP-based architectures including the role of edge, data, AI, and simulation platforms in enterprise transformation
- Architect client solutions focused on digital twins, spatial intelligence, simulation, and OT transformation
- Help clients define future-state capability stacks aligned to NVIDIA and/or GCP ecosystems, including edge compute, AI model services, simulation platforms, vision services, data platforms, and enterprise integration layers
- Define technical architectures for environments requiring coordination across sensing, telemetry, OT systems, edge infrastructure, AI/ML services, spatial context, and enterprise applications
- Implement integration of physical/spatial AI capabilities into operational workflows, including OT systems, IoT platforms, facilities systems, robotics-related ecosystems, and enterprise platforms
- Develop differentiated points of view, offerings, demos, and proposal content that position Deloitte as a preferred transformation partner
- Help shape Deloitte's market-facing capabilities focused on digital twins, OT transformation, and spatial/physical AI use cases across priority sectors
- Bachelor's degree in Engineering, Computer Science, Information Systems, Industrial Engineering, Operations, or a related field
- 6+ years of relevant experience in consulting, industry, or a combination of both
- Experience working with clients on digital twin, spatial technologies, OT transformation, industrial/edge AI, or related operational technology initiatives
- Experience aligned to NVIDIA and/or Google Cloud Platform ecosystems, including relevant AI, simulation, edge, vision, geospatial, or platform services
- Experience aligned to NVIDIA and/or Google Cloud Platform ecosystems for Physical & Spatial AI including but not limited to
- NVIDIA platforms: Omniverse, Cosmos, Isaac, Metropolis, Jetson/ Orin, NeMo, Groot in real world or simulated environments
- GCP technologies: GDCE, Anthos, Vertex AI, TensorFlow, Immersive Stream, Earth Engine, Gemini/ Agent builder
- Strong product and platform strategy experience defining architecture, integration patterns, and implementation approaches for environments involving OT systems, telemetry, AI services, and enterprise platforms
- Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
- Limited immigration sponsorship may be available.
- Consulting experience strongly preferred, particularly in client-facing strategy, architecture, or transformation delivery roles
- Experience in data center, sports venue, consumer, or retail environments
- Experience developing client-ready materials for workshops, solution framing sessions, and stakeholder presentations
- Experience contributing to proposal development, pursuit teams, or opportunity shaping activities
- Familiarity with operational use cases such as asset monitoring, predictive maintenance, facility performance, workforce enablement, computer vision, loss prevention, safety/compliance monitoring, or spatial operations
- Experience with enterprise integration, IT/OT convergence, and real-time operational decision support
- Advanced degree in Engineering, Computer Science, Robotics, Industrial Systems, or a related discipline
- Strong presentation skills and comfort communicating with both business and technical audiences
- Experience leading or coordinating multidisciplinary teams in complex solution delivery engagements
- Strong written and verbal communication skills, including workshop facilitation, architecture storytelling, and executive-level communication
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