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Spatial Data Jobs in Colorado (NOW HIRING)

Proficiency in GIS platforms (ArcGIS) and spatial data management * Experience with geological interpretation and mapping software (e.g., Petra, Kingdom, Geographix, Leapfrog, or similar) * Strong ...

Proficiency in GIS platforms (ArcGIS) and spatial data management * Experience with geological interpretation and mapping software (e.g., Petra, Kingdom, Geographix, Leapfrog, or similar) * Strong ...

Approach every task as an opportunity to innovate-rethinking how spatial data is collected, managed, visualized, and shared * Create clear, compelling cartographic products-both static and ...

Approach every task as an opportunity to innovate-rethinking how spatial data is collected, managed, visualized, and shared * Create clear, compelling cartographic products-both static and ...

Staff Product Designer

Westminster, CO · On-site

$156K - $192K/yr

Define cross-product design frameworks, patterns, and experiences for spatial, data-heavy, and operational workflows * Shape interaction models for maps, imagery, layers, tasking, monitoring ...

GIS Analyst III

Denver, CO · On-site

$34 - $38/hr

Able to utilize GIS applications to perform advanced spatial analysis or data conversion or manipulation. i.e. raster/surface manipulation, mosaic, modify and repurpose imagery for other software.

Work in spatial data management tools and map production to support regional situational awareness efforts. * Gathering situational awareness from local and regional business and industry partners to ...

Work in spatial data management tools and map production to support regional situational awareness efforts. * Gathering situational awareness from local and regional business and industry partners to ...

Work in spatial data management tools and map production to support regional situational awareness efforts. * Gathering situational awareness from local and regional business and industry partners to ...

Geospatial or spatial data * Combining multiple data streams to infer meaningful signals * Problems requiring modeling, interpretation, or non-obvious conclusions Strength in some areas can ...

GIS and geospatial technologies including ESRI ArcGIS Pro, ArcGIS Enterprise, GeoBIM, Indoors, Velocity, and spatial data integration workflows. * Reality capture technologies including terrestrial ...

Environmental Scientist

Denver, CO · On-site

$65K - $75K/yr

Experience participating in wetland delineations, interpreting general spatial data in concert with GIS staff, preparing portions of technical reports, and developing permit applications with ...

Environmental Scientist

Denver, CO · On-site

$77K - $101K/yr

Experience participating in wetland delineations, interpreting general spatial data in concert with GIS staff, preparing portions of technical reports, and developing permit applications with ...

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Showing results 1-20

Spatial Data information

See Colorado salary details

$46.8K

$136.4K

$186.6K

How much do spatial data jobs pay per year?

As of Jun 9, 2026, the average yearly pay for spatial data in Colorado is $136,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,400.00 and $144,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Spatial Data Analyst, and why are they important?

To excel as a Spatial Data Analyst, you need a strong background in geography, GIS, data analysis, and a relevant degree such as geography, environmental science, or computer science. Proficiency in GIS software (e.g., ArcGIS, QGIS), spatial databases (like PostGIS), and programming languages such as Python or R is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills distinguish top performers in this field. These competencies are essential for accurately interpreting spatial data, generating actionable insights, and effectively sharing findings with stakeholders.

What are some typical challenges faced by spatial data analysts when working with large geospatial datasets?

Spatial data analysts often encounter challenges related to data quality and integration when working with large geospatial datasets. Issues such as inconsistent data formats, missing metadata, and varying spatial resolutions can complicate analysis. Additionally, managing the computational load of processing and visualizing large, complex datasets may require specialized software and robust hardware. Collaborating closely with GIS specialists, IT teams, and data engineers helps to address these challenges and ensure reliable results.

What is the difference between Spatial Data vs GIS Analyst?

AspectSpatial DataGIS Analyst
Required CredentialsGIS certifications, degrees in geography, GIS, or related fieldsGIS certifications, degrees in geography, GIS, or related fields
Work EnvironmentData collection, database management, mapping softwareData analysis, map creation, spatial problem-solving
Employer & Industry UsageUsed by GIS professionals, urban planners, environmental agenciesEmployed in government, consulting firms, environmental organizations
Search & Comparison IntentUnderstanding data types, data managementAnalyzing spatial data, creating maps, reports

Spatial Data refers to the raw geographic information used in mapping and analysis, while a GIS Analyst actively interprets, analyzes, and visualizes this data to support decision-making. Both roles require similar credentials and are integral to GIS projects, but Spatial Data is the foundational information, whereas GIS Analysts focus on applying that data to solve spatial problems.

What is spatial data?

Spatial data, also known as geospatial data, refers to information about the physical location and shape of objects on Earth. This data is usually stored as coordinates and topology and can represent features such as buildings, roads, rivers, or even entire countries. Spatial data is used in mapping, geographic information systems (GIS), urban planning, environmental studies, and various other fields to analyze locations, patterns, and relationships. It can be stored in formats like vector (points, lines, polygons) or raster (grids, images). Understanding spatial data is essential for making informed decisions based on geographic information.
Associate VP, Physical and Spatial AI

Associate VP, Physical and Spatial AI

Deloitte

Colorado Springs, CO • On-site

Other

Posted 19 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

Associate VP, Physical & Spatial AI
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 candidate with a strong product implementation mindset and experience helping clients apply digital twin and spatial technologies to real-world operational environments. The ideal candidate brings a blend of consulting leadership, industry credibility, technical fluency, and go-to-market vision, with experience aligned to Nvidia and/or Google platform ecosystems for Physical and Spatial AI technologies.

Recruiting for this role ends on 06/07/2026.


Work You'll Do
As an Associate VP 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 pursuits, 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
* 10+ 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
Wages + Salary
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $ 171,600 to $ 338,300. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Associate VP, Physical & Spatial AI
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 candidate with a strong product implementation mindset and experience helping clients apply digital twin and spatial technologies to real-world operational environments. The ideal candidate brings a blend of consulting leadership, industry credibility, technical fluency, and go-to-market vision, with experience aligned to Nvidia and/or Google platform ecosystems for Physical and Spatial AI technologies.

Recruiting for this role ends on 06/07/2026.


Work You'll Do
As an Associate VP 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 pursuits, 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
* 10+ 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
Wages + Salary
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $ 171,600 to $ 338,300. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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