Project Management Analyst Visa Sponsorship Jobs in Colorado
Project management analyst roles in Colorado are concentrated across Denver's aerospace and defense contractors, tech firms in the Boulder corridor, and federal agencies in Colorado Springs. Companies like Lockheed Martin, SAIC, and Leidos regularly hire project management analysts and have established visa sponsorship programs for international candidates.
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Get Access To All JobsFor over 30 years, Angi has powered the future of the home services industry, creating an environment where homeowners and pros benefit from more jobs done well.
For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you.
Angi at a glance:
- Founded in 1995 as Angie’s List and rebranded in 2021
- Global company with 9 brands in 8 countries and employees worldwide
- Homeowners have turned to us for 300 million home projects and counting
About the team
The Staff AI Product Analyst will define AI-native product analytics for Angi, turning visionary technology into prioritized use cases, robust evaluation disciplines, and a trusted data ecosystem. This role is central to building Angi’s agentic product analytics capability—defining where AI-native analytics creates real leverage, designing the evaluation frameworks that earn organizational trust, and establishing repeatable system standards. As a senior individual contributor, you will have broad influence across the product analytics function and beyond, ensuring that both human teams and AI agents remain aligned on truth, quality, and usefulness.
The ideal candidate is a systems-thinking data expert who bridges the gap between deep AI capabilities and practical business outcomes.
What you’ll do
AI Product Strategy & Metrics Design
- Flagship Journey Measurement: Partner with AI product, engineering, and domain experts to define north-star and guardrail metrics for flagship AI journeys, focusing on adoption, task completion, quality, and downstream business outcomes.
- Causal Framing & Experimentation: Align closely with data science partners on test design, interpretation, and causal framing when new AI products ship.
- Data Layer Systems Thinking: Map how agents interact with metrics, raw tables, documentation, and APIs to ensure requirements for data and analytics engineering are explicit, structured, and testable.
Evaluation, Governance & Backlog Management
- Eval Framework Architecture: Design and maintain formal evaluation sets, "golden datasets," rubrics, and regression checks for agent outputs to guarantee accuracy, completeness, policy safety, and usefulness.
- Taxonomy & Failure Mode Analysis: Systematically categorize wrong answers, tool misuse, context gaps, and data edge cases, feeding those insights back into prompts, retrieval (RAG), tools, and data modeling pipelines.
- Performance Monitoring: Monitor live usage of Agentic AI analytics workflows—tracking success, abandonment, fallback patterns, and human override rates to maintain a prioritized engineering improvement backlog.
Cross-Functional Leadership & Enablement
- Playbooks & Narrative: Own internal documentation defining when to use agents, required human checkpoints, and how to communicate uncertainty. Support enablement and leadership storytelling around agentic AI analytics.
- Strategic Collaboration: Partner with business leaders, the Principal Analytics Engineer, and data engineering teams to translate complex AI capabilities into measurable business outcomes.
- Defining Success: Deliver recurring measurement artifacts (dashboards, reviews, or written readouts) that leadership uses to prioritize roadmaps, while continuously reducing high-severity incidents where agents produce incorrect metrics.
Who you are
Minimum Qualifications
- 10+ years of experience across product analytics, data science, or technical product management within a complex, high-scale operating environment.
- 1+ years of direct, hands-on experience working with AI/LLM systems in an applied context, with a specific focus on evaluating, trusting, and deploying them responsibly.
- Deep technical proficiency with Python, ML frameworks, data visualization/analytics platforms, and standard data management/governance practices.
- Proven track record designing AI evaluation frameworks, including formal evals, golden datasets, production monitoring, or equivalent rigor in a related data discipline.
- Exceptional communication skills with a demonstrated ability to translate highly technical AI insights and tradeoffs into clear narratives for non-technical business stakeholders.
Preferred Qualifications
- Experience building or evaluating agentic analytics workflows, orchestration frameworks, and familiarity with multi-agent systems.
- Demonstrated ability to operate fluidly in ambiguity, run structured experiments or pilots, and default to fast action and iteration.
- A systems-oriented mindset with a healthy skepticism of AI hype, focusing strictly on organizational outcomes and driving technical investments that yield true business value.
We value diversity
We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences.
Compensation & Benefits
- The salary band for this position ranges from $165,000 - $225,000 commensurate with experience and performance. Compensation may vary based on factors such as cost of living.
- This position will be eligible for a competitive year end performance bonus & equity package.
- Full medical, dental, vision package to fit your needs
- Flexible vacation policy; work hard and take time when you need it
- Pet discount plans & retirement plan with company match (401K)
- The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world
LI-Remote
For over 30 years, Angi has powered the future of the home services industry, creating an environment where homeowners and pros benefit from more jobs done well.
For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you.
Angi at a glance:
- Founded in 1995 as Angie’s List and rebranded in 2021
- Global company with 9 brands in 8 countries and employees worldwide
- Homeowners have turned to us for 300 million home projects and counting
About the team
The Staff AI Product Analyst will define AI-native product analytics for Angi, turning visionary technology into prioritized use cases, robust evaluation disciplines, and a trusted data ecosystem. This role is central to building Angi’s agentic product analytics capability—defining where AI-native analytics creates real leverage, designing the evaluation frameworks that earn organizational trust, and establishing repeatable system standards. As a senior individual contributor, you will have broad influence across the product analytics function and beyond, ensuring that both human teams and AI agents remain aligned on truth, quality, and usefulness.
The ideal candidate is a systems-thinking data expert who bridges the gap between deep AI capabilities and practical business outcomes.
What you’ll do
AI Product Strategy & Metrics Design
- Flagship Journey Measurement: Partner with AI product, engineering, and domain experts to define north-star and guardrail metrics for flagship AI journeys, focusing on adoption, task completion, quality, and downstream business outcomes.
- Causal Framing & Experimentation: Align closely with data science partners on test design, interpretation, and causal framing when new AI products ship.
- Data Layer Systems Thinking: Map how agents interact with metrics, raw tables, documentation, and APIs to ensure requirements for data and analytics engineering are explicit, structured, and testable.
Evaluation, Governance & Backlog Management
- Eval Framework Architecture: Design and maintain formal evaluation sets, "golden datasets," rubrics, and regression checks for agent outputs to guarantee accuracy, completeness, policy safety, and usefulness.
- Taxonomy & Failure Mode Analysis: Systematically categorize wrong answers, tool misuse, context gaps, and data edge cases, feeding those insights back into prompts, retrieval (RAG), tools, and data modeling pipelines.
- Performance Monitoring: Monitor live usage of Agentic AI analytics workflows—tracking success, abandonment, fallback patterns, and human override rates to maintain a prioritized engineering improvement backlog.
Cross-Functional Leadership & Enablement
- Playbooks & Narrative: Own internal documentation defining when to use agents, required human checkpoints, and how to communicate uncertainty. Support enablement and leadership storytelling around agentic AI analytics.
- Strategic Collaboration: Partner with business leaders, the Principal Analytics Engineer, and data engineering teams to translate complex AI capabilities into measurable business outcomes.
- Defining Success: Deliver recurring measurement artifacts (dashboards, reviews, or written readouts) that leadership uses to prioritize roadmaps, while continuously reducing high-severity incidents where agents produce incorrect metrics.
Who you are
Minimum Qualifications
- 10+ years of experience across product analytics, data science, or technical product management within a complex, high-scale operating environment.
- 1+ years of direct, hands-on experience working with AI/LLM systems in an applied context, with a specific focus on evaluating, trusting, and deploying them responsibly.
- Deep technical proficiency with Python, ML frameworks, data visualization/analytics platforms, and standard data management/governance practices.
- Proven track record designing AI evaluation frameworks, including formal evals, golden datasets, production monitoring, or equivalent rigor in a related data discipline.
- Exceptional communication skills with a demonstrated ability to translate highly technical AI insights and tradeoffs into clear narratives for non-technical business stakeholders.
Preferred Qualifications
- Experience building or evaluating agentic analytics workflows, orchestration frameworks, and familiarity with multi-agent systems.
- Demonstrated ability to operate fluidly in ambiguity, run structured experiments or pilots, and default to fast action and iteration.
- A systems-oriented mindset with a healthy skepticism of AI hype, focusing strictly on organizational outcomes and driving technical investments that yield true business value.
We value diversity
We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences.
Compensation & Benefits
- The salary band for this position ranges from $165,000 - $225,000 commensurate with experience and performance. Compensation may vary based on factors such as cost of living.
- This position will be eligible for a competitive year end performance bonus & equity package.
- Full medical, dental, vision package to fit your needs
- Flexible vacation policy; work hard and take time when you need it
- Pet discount plans & retirement plan with company match (401K)
- The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world
LI-Remote
Project Management Analyst Job Roles in Colorado
See all 178+ Project Management Analyst Jobs in Colorado
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Search Project Management Analyst Jobs in ColoradoProject Management Analyst Jobs in Colorado: Frequently Asked Questions
Which companies sponsor visas for project management analysts in Colorado?
Colorado's largest visa sponsors for project management analyst roles include Lockheed Martin and Northrop Grumman in Littleton, SAIC and Leidos in Colorado Springs, and technology companies such as Arrow Electronics and Palantir in the Denver metro area. Federal contractors dominate sponsorship in this state, given the concentration of defense and aerospace programs along the Front Range.
Which visa types are most common for project management analyst roles in Colorado?
The H-1B visa is the most common visa for project management analysts in Colorado, as the role typically qualifies as a specialty occupation requiring a bachelor's degree in business, engineering, or a related field. Candidates with Canadian or Mexican citizenship may pursue the TN visa under the USMCA. Australians may be eligible for the E-3 visa. L-1B transfers are also used when candidates move from an overseas office of a U.S.-headquartered firm.
Which cities in Colorado have the most project management analyst sponsorship jobs?
Denver accounts for the largest share of project management analyst sponsorship activity, driven by its corporate headquarters and technology sector. Colorado Springs follows due to its dense cluster of defense contractors and military-adjacent firms. Boulder hosts a growing number of tech and clean energy companies that hire project management analysts, while Broomfield and Englewood also see consistent sponsorship from aerospace and IT services employers.
How to find project management analyst visa sponsorship jobs in Colorado?
Migrate Mate is built specifically for international candidates and filters project management analyst roles in Colorado by visa sponsorship eligibility, so you can skip employers who do not sponsor. Search by role and state to surface active openings from defense contractors, tech firms, and federal agencies across Denver, Colorado Springs, and Boulder. Migrate Mate also provides guidance on which visa types apply to your background.
Are there state-specific factors that affect visa sponsorship for project management analysts in Colorado?
Colorado's concentration of federal defense contracts means many project management analyst positions require security clearances, which can complicate or delay sponsorship for foreign nationals since clearance eligibility generally requires U.S. citizenship or permanent residency. Candidates should focus on commercial technology and professional services firms in the Denver and Boulder metro areas, where sponsorship is more accessible. Colorado also has an active university pipeline through CU Boulder and Colorado State, creating competition for entry-level roles.
What is the prevailing wage for sponsored project management analyst jobs in Colorado?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.