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Executive Digital Twin Jobs (NOW HIRING)

Siemens

PLM Digital Thread Lead

Atlanta, TX · On-site

Translating digital thread and digital twin concepts into client-ready value - framing technical ... and executives can act on - and into practical customer-facing workflows and scalable delivery ...

Intellectt INC

Program Director

Towson, MD · On-site

MBSE / SysML * Digital Twin, MBD, MBE Key Responsibilities * Lead end-to-end PLM transformation ... Engage executive stakeholders and manage program governance. * Lead PLM strategy, PDM, Change ...

Twin Health

Senior Marketing Analyst

$104K - $129K/yr

Twin Health is the only company applying AI Digital Twin technology exclusively toward metabolic ... the executive team. You will serve as the analytical backbone of the marketing organization ...

Twin Health

Principal Product Manager

Twin Health is the only company applying AI Digital Twin technology exclusively toward metabolic ... Drive alignment across executive leadership and cross functional teams to ensure Coach Copilot ...

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Executive Digital Twin information

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$26.5K

$93.6K

$184K

How much do executive digital twin jobs pay per year?

As of Aug 7, 2026, the average yearly pay for executive digital twin in the United States is $93,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $120,500.00 per year, depending on experience, location, and employer.

What is the difference between Executive Digital Twin vs Data Analyst?

AspectExecutive Digital TwinData Analyst
Required CredentialsTypically advanced degrees in engineering, IT, or related fields; certifications in digital twin technologiesBachelor's or master's in data science, statistics, or related fields; certifications in data analysis tools
Work EnvironmentStrategic, high-level planning in industries like manufacturing, energy, or smart citiesData collection, processing, and analysis in office or lab settings across various industries
Employer & Industry UsageUsed by industrial firms, tech companies, and infrastructure providers for digital twin implementationUsed across finance, healthcare, marketing, and tech sectors for data-driven decision making

The Executive Digital Twin focuses on creating virtual replicas of physical assets for strategic management, while Data Analysts interpret data to inform business decisions. Both roles require technical skills but serve different organizational levels and purposes.

More about Executive Digital Twin jobs
What cities are hiring for Executive Digital Twin jobs? Cities with the most Executive Digital Twin job openings:
What are the most commonly searched types of Digital Twin jobs? The most popular types of Digital Twin jobs are:
What states have the most Executive Digital Twin jobs? States with the most job openings for Executive Digital Twin jobs include:
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Executive Digital Twin jobs near you
Infographic showing various Executive Digital Twin job openings in the United States as of August 2026, with employment types broken down into 82% Full Time, 13% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $93,552 per year, or $45 per hour.

Senior Digital Twin and BIM Consultant

The AES Group

Portland, OR • Remote

Full-time

Posted 22 days ago

Job description

Role: Senior Digital Twin and BIM Consultant
Location: US Remote - PST hours
Role typr: C2H/FTE

Let’s create our future together at The AES Group!
About The AES Group:

The AES Group is a premier technology consulting company that has been bringing businesses and talent together for over 20 years to deliver the most innovative technology solutions that create the most positive impact on society. AES has helped over 40 business enterprises, including Fortune 500 companies, engage their customers, empower their employees, and transform their business operations with the power of cloud, data, AI, and other emerging technologies. 

About the Opportunity

We are seeking an experienced Senior Digital Twin and BIM Consultant to support one of the largest transportation infrastructure initiatives in North America. This role will help define and implement a Digital Twin strategy for a major interstate bridge replacement program, enabling a connected digital ecosystem that spans planning, design, construction, operations, and long-term asset management.

The ideal candidate has successfully implemented Digital Twin or BIM solutions on large civil infrastructure projects such as bridges, highways, rail, airports, tunnels, or other transportation megaprojects.

Responsibilities

  • Lead Digital Twin strategy and implementation for large infrastructure programs.
  • Develop Digital Twin architecture supporting the full asset lifecycle.
  • Define and implement BIM Execution Plans (BEP) aligned with ISO 19650 standards.
  • Establish and manage Common Data Environments (CDE) for multidisciplinary collaboration.
  • Integrate BIM, GIS, reality capture, IoT sensor data, and asset management information into a unified Digital Twin platform.
  • Collaborate with owners, engineering firms, contractors, and technology partners.
  • Develop Digital Twin use cases supporting:
    • Planning and environmental analysis
    • Public engagement and visualization
    • Design collaboration
    • Construction sequencing (4D)
    • Cost estimating (5D)
    • Asset management (6D)
    • Predictive maintenance
    • Sensor-based monitoring
  • Develop standards, governance, workflows, and information management processes.
  • Support software architecture evaluations and recommend Digital Twin technology platforms.
  • Guide implementation of open BIM standards and model-based project delivery.
  • Mentor engineering and project teams on Digital Twin best practices.
  • Support executive presentations and Digital Twin roadmap development.

Required Qualifications

  • 10+ years of experience delivering Digital Twin and BIM solutions.
  • Experience on transportation or heavy civil infrastructure projects exceeding $500M.
  • Demonstrated experience with:
    • Digital Twin implementation
    • Building Information Modeling (BIM)
    • ISO 19650
    • Common Data Environments
    • Information Management
    • Digital Delivery
  • Experience working with:
    • Bridges
    • Highways
    • Rail
    • Airports
    • Transit systems
  • Strong understanding of engineering workflows across planning, design, construction, and operations.
  • Experience integrating BIM with GIS and asset management platforms.
  • Excellent stakeholder communication and leadership skills.

Preferred Qualifications

Experience with one or more of:

  • Bentley OpenBuildings
  • Bentley iTwin
  • Autodesk Construction Cloud
  • Autodesk Civil 3D
  • Autodesk Revit
  • Navisworks
  • ProjectWise
  • Esri ArcGIS
  • OpenRoads Designer
  • Synchro 4D
  • InfraWorks
  • BIM 360
  • Azure Digital Twins
  • IoT platforms
  • Reality capture (LiDAR, drones, laser scanning)
  • BIM automation using Python or Dynamo

Preferred Industry Experience

Candidates with experience on projects similar to:

  • Interstate bridge replacement
  • Highway modernization
  • Airport expansion
  • Rail infrastructure
  • Smart cities
  • Digital delivery transformation
  • Transportation agencies (DOTs)
  • WSP
  • Jacobs
  • AECOM
  • HDR
  • HNTB
  • Parsons
  • AtkinsRéalis
  • Arup

Nice-to-Have Experience

  • Climate impact modeling
  • Equity impact analysis
  • Infrastructure asset management
  • Predictive maintenance
  • IoT sensors
  • AI-enabled infrastructure analytics
  • Model-based delivery
  • Open BIM standards
  • Public agency consulting
  • FHWA, or AASHTO standards

What Success Looks Like

  • Develop a scalable Digital Twin framework supporting planning through operations.
  • Implement standards aligned with ISO 19650 and BIM Execution Plans.
  • Improve collaboration across owners, designers, contractors, and operators.
  • Establish a robust Common Data Environment and governance framework.
  • Deliver Digital Twin capabilities that support visualization, lifecycle asset management, climate analysis, stakeholder engagement, and predictive maintenance.