Analytics Manager Visa Sponsorship Jobs in Colorado
Colorado's analytics manager roles are concentrated in Denver's tech corridor, with major employers like Palantir, Arrow Electronics, and DaVita actively hiring data leaders. Boulder's startup ecosystem and Colorado Springs' defense sector add further demand. International candidates pursuing visa sponsorship will find the strongest opportunities in enterprise software, healthcare analytics, and aerospace.
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Get Access To All JobsINTRODUCTION
Why work for us?
A career at Janus Henderson is more than a job, it’s about investing in a brighter future together.
Our Mission at Janus Henderson is to help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world-class service. We will do this by protecting and growing our core business, amplifying our strengths and diversifying where we have the right.
Our Values are key to driving our success, and are at the heart of everything we do:
Clients Come First - Always | Execution Supersedes Intention | Together We Win | Diversity Improves Results | Truth Builds Trust
If our mission, values, and purpose align with your own, we would love to hear from you!
YOUR OPPORTUNITY
Client analytics is the engine that powers how Janus Henderson engages advisors, intermediaries, consultants, and institutional clients around the world. As Product Manager, Client Analytics, you will set the vision, strategy, and roadmap for an AI-native client intelligence portfolio that turns data into commercial outcomes — meetings booked, mandates won, clients retained, and AUM converted.
A central focus of the role is delivering and scaling the firm's next-generation sales intelligence capability, an agentic, AI-driven system that tells salespeople who to call, when, and why. It combines quantitative holdings and flow data, internal CRM intelligence, and external event signals into a ranked, actionable view of the client universe, extending proven data-driven prioritization from our most mature distribution channel to underserved channels and regions globally.
Alongside this flagship capability, you will own a broader portfolio of scalable global analytics solutions used by Sales, Marketing, Distribution Strategy & Analytics, and Investment partners. You will be the trusted advisor who understands business objectives and roadmaps, and guides senior stakeholders on how best to achieve them with advanced, AI-driven analytics.
Your goal is to deliver scalable global analytics solutions that meet the needs of multiple client groups. Your aim is to become a trusted advisor who understands business objectives and roadmaps, guiding senior stakeholders on how best to achieve these objectives with advanced analytic solutions.
Key responsibilities
Product Vision & Strategy
- Define and evolve the product vision for Client Analytics across the asset management distribution lifecycle — prospecting, prioritization, engagement, retention, and growth.
- Own a multi-year strategy that aligns AI-driven client intelligence with Distribution and firm-wide commercial priorities.
- Set the bar for what "great" looks like in client-facing analytics, balancing global consistency with regional and channel-specific needs across intermediary and institutional segments.
- Articulate the path from today's analytics estate to an AI-native sales operation in which client-facing prioritization, signal tracking, and outreach activity converge in a single environment.
AI-driven Sales Intelligence Delivery & Scale
- Lead end-to-end delivery of the firm's AI-driven sales intelligence capability, from scoping and discovery through build, internal QA, phased rollout, and ongoing optimization.
- Run embedded discovery sessions with regional sales teams to map prioritization workflows and confirm the universe of next-best-action types the system should recommend.
- Define the signal schema, the scoring objective (allocation likelihood), and persona-driven customization down to the individual client level.
- Direct the onboarding and integration of third-party data feeds—including holdings, fund flow, allocation, mandate, and market intelligence sources—into the firm's cloud data platform.
- Partner with Data Science and Engineering on the agentic pipeline that underpins the product: signal extraction agents that turn unstructured data into structured inputs; a scoring/ranking model that allocates attention across the client universe; a natural-language explanation module that generates a "why now" narrative for each contact; and a next-best-action module that recommends the appropriate engagement step.
- Surface real-time opportunity alerts (e.g., public opportunities such as RFP releases, leadership changes, fund restructuring, and M&A) into the ranked view.
- Enable user-contributed lead enrichment so sales teams can feed non-public context back into the signal pipeline.
- Embed the ranked output directly inside the CRM workflow used by sales teams, rather than alongside it, and map persona-level recommendations to the right client owner.
- Establish outcome-based feedback loops so the platform is tuned end-to-end against downstream business results—meetings booked and AUM converted—and gets sharper over time.
- Sequence rollout across regions and channels (e.g., starting with internal QA with sales ops, then deployment to international distribution teams, then expansion to institutional channels with an adapted signal stack).
Roadmap & Prioritization
- Plan, prioritize, and maintain a 12-month rolling product roadmap that balances the flagship sales intelligence build-out, BAU enhancements to the existing analytics estate, and new client analytics opportunities.
- Make data-driven trade-off decisions and develop business cases for senior stakeholders.
- Partner with the Analytics Product Owner to translate strategic priorities into deliverable epics, features, and releases.
- Ensure non-functional requirements—production readiness, observability, risk-based testing, and model governance—are scoped from the outset.
- Plan and prioritize releases, determining timing and content for each.
Stakeholder Leadership
- Serve as a trusted advisor to Distribution leadership, Sales, Sales Operations, Marketing, Distribution Strategy & Analytics, Enterprise Data Management, and Data Science teams.
- Communicate progress, status, risks, and outcomes clearly and proactively to senior business sponsors across regions.
- Translate complex AI, agentic, and analytics concepts into commercial language and decisions.
- Act as the bridge between business stakeholders and the technical product team.
Technical & Analytical Leadership
- Apply deep fluency in cloud data platforms, large language models, agentic AI pipelines, machine learning, and financial data management to shape product direction.
- Apply knowledge of data warehouse concepts and experience designing star schemas to scale solutions responsibly.
- Leverage Power BI and Tableau for high-impact data visualization where appropriate.
- Collaborate with Analytics Domain Architects, Data Architects, and the broader Architecture community to implement best practices.
- Stay abreast of emerging AI capabilities—including agent orchestration frameworks, retrieval-augmented generation, LLM evaluation, and end-to-end pipeline optimization—and translate them into product opportunities.
Team & Talent
- Provide product leadership to a cross-functional pod of application engineers, data engineers, data scientists, data analysts, technical business analysts, and testers.
- Lead and mentor team members, with a focus on skill development and personal growth goals.
- Foster a culture of client obsession, disciplined experimentation, and measurable outcomes.
Capacity & Resource Planning
- Lead work estimation exercises and determine resourcing required to deliver planned work.
- For Enterprise projects, collaborate with Project Management colleagues to ensure resourcing supports delivery of prioritized projects and that accurate, robust delivery plans are developed.
Product Support
- Serve as Level 2 or 3 support for issues that arise in your product area.
- Collaborate with stakeholders on the correction (or not) of defects, balancing impact, risk, and roadmap commitments.
- Carry out other duties as assigned.
WHAT TO EXPECT WHEN YOU JOIN OUR FIRM
- Hybrid working and reasonable accommodations
- Generous Holiday policies
- Paid volunteer time to step away from your desk and into the community
- Support to grow through professional development courses, tuition/qualification reimbursement and more
- Maternal/paternal leave benefits and family services
- Complimentary subscription to Headspace – the mindfulness app
- Corporate membership to ClassPass and other health and well-being benefits
- Unique employee events and programs including a 14er challenge
- Complimentary beverages, snacks and all employee Happy Hours
MUST HAVE SKILLS
- Proven Product Manager experience delivering analytics, data, or AI products — ideally within financial services, asset management, or wealth management.
- Demonstrated success bringing AI/ML products from concept into production with measurable commercial impact.
- Hands-on experience building or shipping agentic AI pipelines — including LLM-based signal extraction from unstructured data, scoring and ranking models for prioritization, natural-language generation for business-facing narrative, and recommendation/next-best-action engines.
- Experience designing and operating end-to-end pipeline optimization, where the full system is tuned against a downstream business objective rather than each component in isolation.
- Strong understanding of asset management distribution dynamics across intermediary and institutional channels, and of the third-party data sources used to drive sales prioritization (holdings, fund flows, allocation activity, mandate intelligence, market events).
- Experience integrating analytics products directly into the CRM workflows used by sales or relationship management teams, so insights are surfaced where work already happens.
- Success leveraging cloud data platforms and data analytics for decision-making and insights.
- Strong understanding of data warehouse concepts and experience designing star schemas.
- Working knowledge of large language models, machine learning, and modern AI technologies, including practical familiarity with agent orchestration and retrieval-augmented generation.
- Working knowledge of Power BI and Tableau.
- Experience designing products against measurable outcomes (KPIs such as meetings booked, conversion, and AUM influenced) and operating outcome-tuned feedback loops.
- Proven team leadership experience working with high-performing teams of technology professionals.
- Excellent executive communication and stakeholder management skills across regions and seniority levels.
- Certified Scrum Product Owner (CSPO) or equivalent Scrum Alliance certification.
- Proficiency with the Atlassian suite (Jira, Confluence, Aha!).
- Experience documenting processes and product artifacts, including PRDs, user stories, process flows, and business process documents.
NICE TO HAVE SKILLS
- Master's degree in Engineering, Computer Science, Data Science, Finance, or a related field. Equivalent industry experience will also be considered.
- Experience working directly with Sales and Distribution organizations in asset or wealth management, including sales operations partnership.
- Familiarity with version-controlled, modular agent pipeline frameworks that allow end-to-end optimization rather than per-component tuning.
- Exposure to model governance, responsible AI, evaluation frameworks, and the regulatory landscape applicable to AI in financial services.
- Familiarity with public-opportunity intelligence sources (e.g., RFP feeds, leadership-change tracking, media monitoring) and how they can be operationalized into sales workflows.
- CFA, CAIA, or comparable investment industry credential.
SUPERVISORY RESPONSIBILITIES
No
POTENTIAL FOR GROWTH
- Mentoring
- Leadership development programs
- Regular training
- Career development services
- Continuing education courses
COMPENSATION INFORMATION
The base salary range for this position is $145,000-$160,000. This range is estimated for this role. Actual pay may be different. This position will be open through June 30, 2026.
Colorado law requires an estimated closing date for job postings. Please don't be discouraged from applying if you see this date has passed.
At Janus Henderson Investors we’re committed to an inclusive and supportive environment. We believe diversity improves results and we welcome applications from candidates from all backgrounds. Don’t worry if you don’t think you tick every box, we still want to hear from you! We understand everyone has different commitments and while we can’t accommodate every flexible working request, we’re happy to be asked about work flexibility and our hybrid working environment. If you need any reasonable accommodations during our recruitment process, please get in touch and let us know at recruiter@janushenderson.com.
ANNUAL BONUS OPPORTUNITY: Position may be eligible to receive an annual discretionary bonus award from the profit pool. The profit pool is funded based on Company profits. Individual bonuses are determined based on Company, department, team and individual performance.
BENEFITS: Janus Henderson is committed to offering a comprehensive total rewards package to eligible employees that includes; competitive compensation, pension/retirement plans, and various health, wellbeing and lifestyle benefits. To learn more about our offerings please visit the Why Join Us section on the career page here.
Janus Henderson Investors is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. All applications are subject to background checks.
Janus Henderson (including its subsidiaries) will not maintain existing or sponsor new industry registrations or licenses where not supported by an employee’s job functions (as determined by Janus Henderson at its sole discretion).
You should be willing to adhere to the provisions of our Investment Advisory Code of Ethics related to personal securities activities and other disclosure and certification requirements, including past political contributions and political activities. Applicants’ past political contributions or activity may impact applicants’ eligibility for this position.
You will be expected to understand the regulatory obligations of the firm, and abide by the regulated entity requirements and JHI policies applicable for your role.
INTRODUCTION
Why work for us?
A career at Janus Henderson is more than a job, it’s about investing in a brighter future together.
Our Mission at Janus Henderson is to help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world-class service. We will do this by protecting and growing our core business, amplifying our strengths and diversifying where we have the right.
Our Values are key to driving our success, and are at the heart of everything we do:
Clients Come First - Always | Execution Supersedes Intention | Together We Win | Diversity Improves Results | Truth Builds Trust
If our mission, values, and purpose align with your own, we would love to hear from you!
YOUR OPPORTUNITY
Client analytics is the engine that powers how Janus Henderson engages advisors, intermediaries, consultants, and institutional clients around the world. As Product Manager, Client Analytics, you will set the vision, strategy, and roadmap for an AI-native client intelligence portfolio that turns data into commercial outcomes — meetings booked, mandates won, clients retained, and AUM converted.
A central focus of the role is delivering and scaling the firm's next-generation sales intelligence capability, an agentic, AI-driven system that tells salespeople who to call, when, and why. It combines quantitative holdings and flow data, internal CRM intelligence, and external event signals into a ranked, actionable view of the client universe, extending proven data-driven prioritization from our most mature distribution channel to underserved channels and regions globally.
Alongside this flagship capability, you will own a broader portfolio of scalable global analytics solutions used by Sales, Marketing, Distribution Strategy & Analytics, and Investment partners. You will be the trusted advisor who understands business objectives and roadmaps, and guides senior stakeholders on how best to achieve them with advanced, AI-driven analytics.
Your goal is to deliver scalable global analytics solutions that meet the needs of multiple client groups. Your aim is to become a trusted advisor who understands business objectives and roadmaps, guiding senior stakeholders on how best to achieve these objectives with advanced analytic solutions.
Key responsibilities
Product Vision & Strategy
- Define and evolve the product vision for Client Analytics across the asset management distribution lifecycle — prospecting, prioritization, engagement, retention, and growth.
- Own a multi-year strategy that aligns AI-driven client intelligence with Distribution and firm-wide commercial priorities.
- Set the bar for what "great" looks like in client-facing analytics, balancing global consistency with regional and channel-specific needs across intermediary and institutional segments.
- Articulate the path from today's analytics estate to an AI-native sales operation in which client-facing prioritization, signal tracking, and outreach activity converge in a single environment.
AI-driven Sales Intelligence Delivery & Scale
- Lead end-to-end delivery of the firm's AI-driven sales intelligence capability, from scoping and discovery through build, internal QA, phased rollout, and ongoing optimization.
- Run embedded discovery sessions with regional sales teams to map prioritization workflows and confirm the universe of next-best-action types the system should recommend.
- Define the signal schema, the scoring objective (allocation likelihood), and persona-driven customization down to the individual client level.
- Direct the onboarding and integration of third-party data feeds—including holdings, fund flow, allocation, mandate, and market intelligence sources—into the firm's cloud data platform.
- Partner with Data Science and Engineering on the agentic pipeline that underpins the product: signal extraction agents that turn unstructured data into structured inputs; a scoring/ranking model that allocates attention across the client universe; a natural-language explanation module that generates a "why now" narrative for each contact; and a next-best-action module that recommends the appropriate engagement step.
- Surface real-time opportunity alerts (e.g., public opportunities such as RFP releases, leadership changes, fund restructuring, and M&A) into the ranked view.
- Enable user-contributed lead enrichment so sales teams can feed non-public context back into the signal pipeline.
- Embed the ranked output directly inside the CRM workflow used by sales teams, rather than alongside it, and map persona-level recommendations to the right client owner.
- Establish outcome-based feedback loops so the platform is tuned end-to-end against downstream business results—meetings booked and AUM converted—and gets sharper over time.
- Sequence rollout across regions and channels (e.g., starting with internal QA with sales ops, then deployment to international distribution teams, then expansion to institutional channels with an adapted signal stack).
Roadmap & Prioritization
- Plan, prioritize, and maintain a 12-month rolling product roadmap that balances the flagship sales intelligence build-out, BAU enhancements to the existing analytics estate, and new client analytics opportunities.
- Make data-driven trade-off decisions and develop business cases for senior stakeholders.
- Partner with the Analytics Product Owner to translate strategic priorities into deliverable epics, features, and releases.
- Ensure non-functional requirements—production readiness, observability, risk-based testing, and model governance—are scoped from the outset.
- Plan and prioritize releases, determining timing and content for each.
Stakeholder Leadership
- Serve as a trusted advisor to Distribution leadership, Sales, Sales Operations, Marketing, Distribution Strategy & Analytics, Enterprise Data Management, and Data Science teams.
- Communicate progress, status, risks, and outcomes clearly and proactively to senior business sponsors across regions.
- Translate complex AI, agentic, and analytics concepts into commercial language and decisions.
- Act as the bridge between business stakeholders and the technical product team.
Technical & Analytical Leadership
- Apply deep fluency in cloud data platforms, large language models, agentic AI pipelines, machine learning, and financial data management to shape product direction.
- Apply knowledge of data warehouse concepts and experience designing star schemas to scale solutions responsibly.
- Leverage Power BI and Tableau for high-impact data visualization where appropriate.
- Collaborate with Analytics Domain Architects, Data Architects, and the broader Architecture community to implement best practices.
- Stay abreast of emerging AI capabilities—including agent orchestration frameworks, retrieval-augmented generation, LLM evaluation, and end-to-end pipeline optimization—and translate them into product opportunities.
Team & Talent
- Provide product leadership to a cross-functional pod of application engineers, data engineers, data scientists, data analysts, technical business analysts, and testers.
- Lead and mentor team members, with a focus on skill development and personal growth goals.
- Foster a culture of client obsession, disciplined experimentation, and measurable outcomes.
Capacity & Resource Planning
- Lead work estimation exercises and determine resourcing required to deliver planned work.
- For Enterprise projects, collaborate with Project Management colleagues to ensure resourcing supports delivery of prioritized projects and that accurate, robust delivery plans are developed.
Product Support
- Serve as Level 2 or 3 support for issues that arise in your product area.
- Collaborate with stakeholders on the correction (or not) of defects, balancing impact, risk, and roadmap commitments.
- Carry out other duties as assigned.
WHAT TO EXPECT WHEN YOU JOIN OUR FIRM
- Hybrid working and reasonable accommodations
- Generous Holiday policies
- Paid volunteer time to step away from your desk and into the community
- Support to grow through professional development courses, tuition/qualification reimbursement and more
- Maternal/paternal leave benefits and family services
- Complimentary subscription to Headspace – the mindfulness app
- Corporate membership to ClassPass and other health and well-being benefits
- Unique employee events and programs including a 14er challenge
- Complimentary beverages, snacks and all employee Happy Hours
MUST HAVE SKILLS
- Proven Product Manager experience delivering analytics, data, or AI products — ideally within financial services, asset management, or wealth management.
- Demonstrated success bringing AI/ML products from concept into production with measurable commercial impact.
- Hands-on experience building or shipping agentic AI pipelines — including LLM-based signal extraction from unstructured data, scoring and ranking models for prioritization, natural-language generation for business-facing narrative, and recommendation/next-best-action engines.
- Experience designing and operating end-to-end pipeline optimization, where the full system is tuned against a downstream business objective rather than each component in isolation.
- Strong understanding of asset management distribution dynamics across intermediary and institutional channels, and of the third-party data sources used to drive sales prioritization (holdings, fund flows, allocation activity, mandate intelligence, market events).
- Experience integrating analytics products directly into the CRM workflows used by sales or relationship management teams, so insights are surfaced where work already happens.
- Success leveraging cloud data platforms and data analytics for decision-making and insights.
- Strong understanding of data warehouse concepts and experience designing star schemas.
- Working knowledge of large language models, machine learning, and modern AI technologies, including practical familiarity with agent orchestration and retrieval-augmented generation.
- Working knowledge of Power BI and Tableau.
- Experience designing products against measurable outcomes (KPIs such as meetings booked, conversion, and AUM influenced) and operating outcome-tuned feedback loops.
- Proven team leadership experience working with high-performing teams of technology professionals.
- Excellent executive communication and stakeholder management skills across regions and seniority levels.
- Certified Scrum Product Owner (CSPO) or equivalent Scrum Alliance certification.
- Proficiency with the Atlassian suite (Jira, Confluence, Aha!).
- Experience documenting processes and product artifacts, including PRDs, user stories, process flows, and business process documents.
NICE TO HAVE SKILLS
- Master's degree in Engineering, Computer Science, Data Science, Finance, or a related field. Equivalent industry experience will also be considered.
- Experience working directly with Sales and Distribution organizations in asset or wealth management, including sales operations partnership.
- Familiarity with version-controlled, modular agent pipeline frameworks that allow end-to-end optimization rather than per-component tuning.
- Exposure to model governance, responsible AI, evaluation frameworks, and the regulatory landscape applicable to AI in financial services.
- Familiarity with public-opportunity intelligence sources (e.g., RFP feeds, leadership-change tracking, media monitoring) and how they can be operationalized into sales workflows.
- CFA, CAIA, or comparable investment industry credential.
SUPERVISORY RESPONSIBILITIES
No
POTENTIAL FOR GROWTH
- Mentoring
- Leadership development programs
- Regular training
- Career development services
- Continuing education courses
COMPENSATION INFORMATION
The base salary range for this position is $145,000-$160,000. This range is estimated for this role. Actual pay may be different. This position will be open through June 30, 2026.
Colorado law requires an estimated closing date for job postings. Please don't be discouraged from applying if you see this date has passed.
At Janus Henderson Investors we’re committed to an inclusive and supportive environment. We believe diversity improves results and we welcome applications from candidates from all backgrounds. Don’t worry if you don’t think you tick every box, we still want to hear from you! We understand everyone has different commitments and while we can’t accommodate every flexible working request, we’re happy to be asked about work flexibility and our hybrid working environment. If you need any reasonable accommodations during our recruitment process, please get in touch and let us know at recruiter@janushenderson.com.
ANNUAL BONUS OPPORTUNITY: Position may be eligible to receive an annual discretionary bonus award from the profit pool. The profit pool is funded based on Company profits. Individual bonuses are determined based on Company, department, team and individual performance.
BENEFITS: Janus Henderson is committed to offering a comprehensive total rewards package to eligible employees that includes; competitive compensation, pension/retirement plans, and various health, wellbeing and lifestyle benefits. To learn more about our offerings please visit the Why Join Us section on the career page here.
Janus Henderson Investors is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. All applications are subject to background checks.
Janus Henderson (including its subsidiaries) will not maintain existing or sponsor new industry registrations or licenses where not supported by an employee’s job functions (as determined by Janus Henderson at its sole discretion).
You should be willing to adhere to the provisions of our Investment Advisory Code of Ethics related to personal securities activities and other disclosure and certification requirements, including past political contributions and political activities. Applicants’ past political contributions or activity may impact applicants’ eligibility for this position.
You will be expected to understand the regulatory obligations of the firm, and abide by the regulated entity requirements and JHI policies applicable for your role.
Analytics Manager Job Roles in Colorado
See all 34+ Analytics Manager Jobs in Colorado
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Search Analytics Manager Jobs in ColoradoAnalytics Manager Jobs in Colorado: Frequently Asked Questions
Which companies in Colorado sponsor visas for analytics managers?
Several large Colorado employers have a documented history of sponsoring work visas for analytics roles. Palantir Technologies in Denver regularly files H-1B visa petitions for data and analytics leadership positions. Arrow Electronics, DaVita, and Lockheed Martin in the Denver metro also appear in Department of Labor disclosure data for analytics-adjacent sponsorships. Boulder-based companies like Zayo Group and Rally Health have sponsored analytics hires as well.
Which visa types are most common for analytics manager roles in Colorado?
The H-1B is the most common visa for analytics managers in Colorado, as the role typically requires a bachelor's degree or higher in a relevant field like statistics, computer science, or business analytics, qualifying it as a specialty occupation. Candidates with Canadian or Mexican citizenship may be eligible for the TN visa under the NAFTA/USMCA 'Systems Analyst' or 'Mathematician' categories, depending on the role's specific duties. The O-1A is an option for candidates with demonstrated exceptional achievement in data analytics.
How to find analytics manager visa sponsorship jobs in Colorado?
Migrate Mate is built specifically for international candidates searching for visa-sponsored analytics manager roles in Colorado. You can filter by state and job title to see active postings from employers with a history of sponsoring work visas. This removes the manual work of screening out roles where sponsorship is unavailable, which is a significant time cost when targeting a specific market like Colorado's Denver-Boulder corridor.
Which cities in Colorado have the most analytics manager sponsorship jobs?
Denver is Colorado's primary hub for sponsored analytics manager positions, driven by its concentration of enterprise tech firms, healthcare organizations, and financial services companies. Boulder adds meaningful volume through its startup and scale-up tech community. Colorado Springs contributes roles in defense and aerospace analytics, particularly around contractors supporting military operations at nearby installations. Remote-friendly employers headquartered in these cities often list Colorado as the work location even for distributed roles.
Are there any Colorado-specific considerations for analytics manager visa sponsorship?
Colorado's Equal Pay for Equal Work Act requires employers to disclose compensation ranges in job postings, which gives international candidates useful context when evaluating offers relative to prevailing wage requirements under H-1B regulations. The University of Colorado and Colorado State University produce a strong pipeline of data science and analytics graduates, meaning competition for entry-level roles is high, but experienced managers with specialized domain knowledge in healthcare, aerospace, or energy analytics are in consistent demand from Colorado sponsors.
What is the prevailing wage for sponsored analytics manager 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.