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Manager - Physical & Spatial AI, OT Transformation

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals re-imagining and re-engineering operations and environments that are critical to business performance. 

The role is focused on helping clients improve operational efficiency, accelerate digital transformation, modernize OT environments, and unlock new value through digital twin, spatial intelligence, and Physical AI-enabled solutions.

We are seeking a Manager with a strong product implementation mindset and experience helping clients apply digital twin and spatial technologies to real-world operational environments. The ideal candidate has worked across OT-heavy environments such as data centers, sports venues, and consumer/retail operations, and can translate business and operational needs into scalable architecture, platform, and transformation solutions. Strong client experience aligned to NVIDIA and/or Google Cloud Platform stacks, with emphasis on either OT transformation design and deep technical solution architecture is ideal.

 Recruiting for this role ends on 06/01/2026.

Work You'll Do

As a Manager at Deloitte, you are expected to bring deep expertise in Physical and Spatial AI, help define business or technology architecture, plan delivery for large-scale projects, oversee solution design and implementation, manage team progress, and ensure quality of work products. The role also includes mentoring, sales support, and contribution to market eminence.

• 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

The Team

Our AI & Engineering practice offers comprehensive solutions for designing, developing, and operating advanced data, AI, and engineering platforms, products, insights, and services. We help clients innovate, enhance, and manage their capabilities so they can grow and scale effectively.

In this role, you will work at the intersection of AI, engineering, operational technology, and industry transformation, helping clients bring together sensing, simulation, decisioning, and enterprise execution in real-world physical environments. 

Qualifications

Required

• 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.

Preferred

• 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

Manager - Physical & Spatial AI, OT Transformation

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals re-imagining and re-engineering operations and environments that are critical to business performance. 

The role is focused on helping clients improve operational efficiency, accelerate digital transformation, modernize OT environments, and unlock new value through digital twin, spatial intelligence, and Physical AI-enabled solutions.

We are seeking a Manager with a strong product implementation mindset and experience helping clients apply digital twin and spatial technologies to real-world operational environments. The ideal candidate has worked across OT-heavy environments such as data centers, sports venues, and consumer/retail operations, and can translate business and operational needs into scalable architecture, platform, and transformation solutions. Strong client experience aligned to NVIDIA and/or Google Cloud Platform stacks, with emphasis on either OT transformation design and deep technical solution architecture is ideal.

 Recruiting for this role ends on 06/01/2026.

Work You'll Do

As a Manager at Deloitte, you are expected to bring deep expertise in Physical and Spatial AI, help define business or technology architecture, plan delivery for large-scale projects, oversee solution design and implementation, manage team progress, and ensure quality of work products. The role also includes mentoring, sales support, and contribution to market eminence.

• 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

The Team

Our AI & Engineering practice offers comprehensive solutions for designing, developing, and operating advanced data, AI, and engineering platforms, products, insights, and services. We help clients innovate, enhance, and manage their capabilities so they can grow and scale effectively.

In this role, you will work at the intersection of AI, engineering, operational technology, and industry transformation, helping clients bring together sensing, simulation, decisioning, and enterprise execution in real-world physical environments. 

Qualifications

Required

• 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.

Preferred

• 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