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Ai Project Management Jobs in Virginia (NOW HIRING)

Ampcus Inc

AI Program Coordinator

Chantilly, VA · On-site

We are seeking an organized, technically fluent AI Program Coordinator to support our AI initiatives, coordinating delivery and managing schedules and documentation for multiple AI projects.

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Ai Project Management information

See Virginia salary details

$38.2K

$101.8K

$160.6K

How much do ai project management jobs pay per year?

As of Jul 31, 2026, the average yearly pay for ai project management in Virginia is $101,801.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,800.00 and $121,900.00 per year, depending on experience, location, and employer.

How do I become an AI project manager?

To become an AI project manager, you typically need a background in project management, often with a certification like PMP or Agile. Knowledge of artificial intelligence concepts, data science, and experience managing technical teams are also important. Developing skills in communication, leadership, and familiarity with AI tools and frameworks can enhance your qualifications.

Can AI do project management jobs?

AI can assist with project management tasks such as scheduling, resource allocation, and data analysis, but it cannot fully replace the strategic decision-making and leadership skills of a human project manager. AI tools are often integrated into project management software to improve efficiency and accuracy. Successful project management still requires human oversight, communication, and adaptability.

How much do AI project managers get paid?

AI project managers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and data analysis can command higher salaries, often exceeding $160,000. Certifications in project management and AI tools can also influence compensation levels.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI director, chief AI officer, or senior AI researcher, often requiring advanced skills in machine learning, data science, and leadership. These roles usually involve overseeing AI strategy, managing teams, and developing innovative solutions, with compensation reflecting experience, expertise, and impact on business outcomes.

What are some typical challenges faced by AI Project Managers, and how can they be addressed?

AI Project Managers often encounter challenges such as managing interdisciplinary teams, aligning project goals with rapidly evolving technologies, and ensuring ethical and compliant deployment of AI solutions. Handling shifting priorities, budget constraints, and complex data requirements can also be demanding. Successful AI Project Managers address these challenges by promoting clear communication, establishing realistic timelines, maintaining flexibility, and staying up to date on industry best practices. Collaboration with data scientists, engineers, and business stakeholders is key to proactively identifying and mitigating risks while delivering project goals. Regular training and an openness to learning also help in navigating the unique complexities of AI-driven projects.

What is an AI Project Management job?

An AI Project Management job involves overseeing projects that develop and implement artificial intelligence solutions. AI project managers coordinate teams, manage timelines, ensure resource allocation, and address risks to deliver AI-driven initiatives successfully. They work closely with data scientists, engineers, and business stakeholders to align AI projects with company goals. Strong technical knowledge, leadership skills, and an understanding of AI methodologies are essential for success in this role.

What are the key skills and qualifications needed to thrive in the Ai Project Management position, and why are they important?

To thrive in AI Project Management, you need a solid background in project management principles, a strong understanding of artificial intelligence concepts, and preferably a degree in computer science, engineering, or a related field. Familiarity with tools like Jira, Asana, or Microsoft Project and certifications such as PMP or Agile are commonly required, along with experience in AI platforms and data analytics systems. Excellent communication, leadership, and problem-solving abilities set top candidates apart, as does the capacity to bridge technical and business teams. These skills are critical to ensure projects stay on track, meet stakeholder expectations, and deliver effective AI solutions.

What are the most commonly searched types of Ai Project Management jobs in Virginia? The most popular types of Ai Project Management jobs in Virginia are:
What are popular job titles related to Ai Project Management jobs in Virginia? For Ai Project Management jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Ai Project Management jobs in Virginia look for? The top searched job categories for Ai Project Management jobs in Virginia are:
What cities in Virginia are hiring for Ai Project Management jobs? Cities in Virginia with the most Ai Project Management job openings:
Ai Project Management jobs near you
Infographic showing various Ai Project Management job openings in Virginia as of July 2026, with employment types broken down into 67% Full Time, 22% Part Time, 2% Temporary, and 9% Contract. Highlights an 59% Physical, 3% Hybrid, and 38% Remote job distribution, with an average salary of $101,801 per year, or $48.9 per hour.

Data and AI Project Analyst

DPR Construction

Richmond, VA • On-site, Remote

Full-time

Re-posted 5 days ago

DPR Construction rating

8.0

Company rating: 8.0 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

19th of 79 rated construction

Job description

Job Description

Overview

The Data & AI Project Analyst serves as the field-facing connector between project teams, account leadership, owners/JV partners, and DPR's Technology & Innovation groups-translating business needs into scalable data, analytics, integration, and AI solutions. This role engages early to shape requirements, standardize approaches across projects, coordinate delivery with U.S. and offsite teams, and ensure all data sharing and AI use aligns with governance, legal, and contractual obligations. This is a jobsite-based role, which will require regular travel between all jobsites within a national account.

Data & Development

  • Engage early in pursuit and preconstruction to:
    • Identify owner-mandated technologies
    • Capture data requirements and reporting obligations
    • Surface integration needs and constraints
    • AI opportunity identification
  • Partner with:
    • Integration Managers
    • Account Leadership
    • Project Teams to align on scalable and repeatable approaches
    • Other Account leads
    • Other T&I Groups - (CT, IT, ETS)
  • Align project-level data needs with DPR's Data Strategy and enterprise standards, delivering consistent, flexible solutions that drive measurable impact across the account.
  • Translate business and project needs into clear data, analytics, and integration requirements.
  • This role is primarily field-based, with approximately 75% of time spent on active jobsites and limited opportunity for remote work. This includes participation in key meetings and workgroup meetings at the jobsite.
  • Align AI use cases with owner expectations and contract constraints
  • Advise on feasibility and value of AI-driven solutions

Data & Integration Enablement

  • Influence strategic technology decisions related to data, analytics, AI, and development.
  • Lead conversations with owners, JV partners, and stakeholders on data exchange approaches, including:
    • System access vs data sharing
    • File-based vs platform-based integrations
    • Reporting vs operational use cases
    • Guiding the team through custom analytics and development.
  • Responsible for coordination with Data Engineering, Solution Architecture, Analytics and offsite teams to:
    • Define integration approaches
    • Ensure feasibility and scalability, avoiding one-off or unsustainable solutions
    • Act as a Funnel for requests with US and Offsite teams
  • Manage UAT and QA/QC for deliverables, collaborating with U.S. and offsite teams to incorporate feedback, and own final production readiness and quality.
  • Drive data readiness and integration strategies to support scalable pipelines and enable effective consumption of predictive and generative AI models.
  • Support implementation of standardized data exchange frameworks and templates
  • Ensure all external data sharing aligns with data governance, legal, and contractual requirements
  • Provide hands-on support in analytics and Power BI, iterating on reports, making minor updates, and developing proof-of-concept solutions based on real-time user feedback.

Intake, Prioritization & Coordination

  • Act as the front door for data and development requests at the account level
  • Work with Data & Development Lead - Mega Projects for the prioritization across the accounts
  • Ensure requests are:
    • Clearly defined
    • Properly scoped
    • Prioritized based on business impact
  • Coordinate execution across:
    • Data Engineering
    • Data Analytics
    • AI/ML
    • Software Development
  • Add AI-specific intake criteria (value, risk, data readiness)
  • Prioritize AI initiatives alongside analytics and development work
  • Coordinate across AI/ML teams for model development and deployment
  • Track progress, manage expectations, and communicate updates to stakeholders
  • Escalate risks, conflicts, and capacity constraints when needed

Standardization & Reuse

  • Identify opportunities to:
    • Reuse existing dashboards, pipelines, and integrations
    • Avoid duplication across projects and accounts
  • Promote standardized approaches for:
    • Data mapping
    • Integration patterns
    • Reporting structures
    • Drive implementation of AI use cases by prioritizing reusable models, prompts, and workflows, and minimizing one-off, non-scalable solutions.
  • Contribute to the development of templates and best practices for mega projects.

Project Onboarding & Enablement

  • Support setup of new projects by:
    • Aligning on data requirements and integrations
    • Facilitating access to systems and tools
    • Coordinating onboarding workflows (data, analytics, reporting)
    • Work with Integration Managers to understand account-level and project-level technology stacks including:
      • DPR standard tools
      • Owner-mandated systems
      • JV partner systems
      • AI/ML tools, platforms, and model usage
      • Track approved vs non-approved AI technologies
      • Identify implications of introducing AI into project tech stacks
  • Partner with Integration Managers to deliver and support project landing pages, access management workflows, standardized setup processes, and effective analytics storytelling for project teams.
  • Facilitate rollout of dashboards and tools, including training and enablement for internal and external project teams for onboarding, access, and effective data usage.
  • Champion the use of existing tools and platforms across project teams to drive consistency and maximize value.
  • Assess the technology stack and identify deviations from standards, evaluating downstream impacts on data, development, AI, integrations, cost, and support.

Data Governance & Compliance

  • Ensure all data activities align with:
    • DPR data governance policies
    • NDA & Contractual obligations
    • Client data requirements
    • Ensure AI usage complies with client data restrictions and contracts
    • Align with AI governance policies (data privacy, model usage, vendor constraints)
  • Help define:
    • What data can be shared
    • How it can be used (internal vs external)
    • Where it should be stored (e.g., warehouse-first approach)
  • Support documentation of:
    • Data definitions
    • Data sources
    • Integration logic

Technical Skills

  • Working knowledge of Data and AI
    • Basic understanding of AI/ML and their capabilities
    • Data gathering and quality issues
    • Power BI
  • Business process and systems thinking
    • Map workflows and identify inefficiencies
    • Understand system dependencies
  • Support integration of AI into existing DPR workflows and systems, from adoption to deployment
  • Ability to assist with piloting AI and data solutions on projects, gather user feedback, identify adoption barriers, and refine workflows to ensure tools deliver real-world value.
  • Maintain a working knowledge of AI, data capabilities, and limitations to evaluate opportunities realistically. Ask critical questions about data availability, problem fit, and automation value while leveraging common tools such as dashboards and reporting platforms.

Qualifications

  • Minimum of 4 years of experience in a relevant data analytics/integration delivery role with a strong Power BI background and experience in the construction industry.
  • Proven track record of managing stakeholder expectations and delivering data solutions aligned with business priorities.
  • Experience with modern data platforms like Snowflake and Microsoft Fabric.
  • Experience with mapping, documenting, and analyzing business workflows to identify inefficiencies and gaps.
  • Ability to translate ambiguous project team requests into clear, actionable use cases with defined data sources and success criteria.
  • Strong problem-solving skills and ability to troubleshoot complex data issues.
  • Excellent communication skills, with the ability to work collaboratively in a team environment.
  • Experience working with or coordinating with overseas teams is a strong plus

DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world.


Working at DPR, you'll have the chance to try new things, explore paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek.


Explore our open opportunities atwww.dpr.com/careers.

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