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Vice President Machine Learning Jobs in Colorado

VP of Finance

Denver, CO

$225K - $275K/yr

VP of Finance Who: A strong, stable, and rapidly growing manufacturing organization is seeking a ... If you're interested in learning more about this opportunity or would like to discuss your ...

VP, People & Talent Strategy

Lakewood, CO · On-site

$150K - $200K/yr

VP, People & Talent Strategy Casa Bonita Overview: For 52 years, Casa Bonita has been synonymous ... Building a culture of learning by assessing and developing training programs across the ...

... Senior Vice President of Sales . A top-rated Google Marketing Platform Partner, our client is a ... To create a sales machine that generates substantial and predictable top-line revenue growth ...

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Showing results 1-20

Vice President Machine Learning information

See Colorado salary details

$37.3K

$120.6K

$190.9K

How much do vice president machine learning jobs pay per year?

As of Jun 26, 2026, the average yearly pay for vice president machine learning in Colorado is $120,639.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,900.00 and $150,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Vice President of Machine Learning, and why are they important?

To thrive as a Vice President of Machine Learning, you need advanced expertise in machine learning, data science, and computer science, typically backed by a master's or PhD and extensive industry experience. Proficiency with platforms like TensorFlow, PyTorch, cloud computing services, and experience managing large-scale AI projects are crucial, along with a track record in leading technical teams. Exceptional leadership, strategic vision, and strong communication skills set outstanding candidates apart by enabling effective cross-functional collaboration and innovation. These skills are vital for driving organizational AI strategy, ensuring technical excellence, and delivering scalable business impact.

What does a Vice President of Machine Learning do?

A Vice President of Machine Learning leads and oversees the strategic direction of machine learning initiatives within an organization. They manage teams of data scientists, engineers, and researchers to develop and deploy AI-driven solutions that support business goals. This role involves collaborating with other executives, setting research agendas, ensuring best practices, and staying updated with the latest advancements in the field. The VP also plays a key role in resource allocation, talent acquisition, and scaling machine learning systems across the company.

What are some common challenges faced by a Vice President of Machine Learning when leading cross-functional teams?

A Vice President of Machine Learning often encounters challenges such as aligning diverse teams on technical priorities, managing expectations across product, engineering, and business units, and ensuring effective communication between stakeholders with varying levels of technical expertise. Balancing the need for innovation with practical business objectives and resource constraints is also a frequent challenge. Cultivating a collaborative culture and fostering ongoing professional development are key to overcoming these hurdles and driving successful outcomes.

What is the difference between Vice President Machine Learning vs Director of Machine Learning?

AspectVice President Machine LearningDirector of Machine Learning
Required CredentialsAdvanced degrees (Master's/PhD), extensive experience in MLSimilar educational background, less senior experience needed
Work EnvironmentStrategic leadership, cross-departmental collaborationProject management, team oversight
Employer & Industry UsageLarge tech firms, enterprises with AI focusTech companies, startups, research labs
Search & Comparison IntentHigh overlap in responsibilities and qualificationsRelated but more operational role

The Vice President Machine Learning typically holds a senior leadership role focused on strategic planning and cross-functional collaboration, while the Director of Machine Learning manages day-to-day projects and teams. Both roles require advanced degrees and experience in machine learning, but the VP is more involved in high-level decision-making and industry strategy.

What are the most commonly searched types of Machine Learning jobs in Colorado? The most popular types of Machine Learning jobs in Colorado are:
What are popular job titles related to Vice President Machine Learning jobs in Colorado? For Vice President Machine Learning jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Vice President Machine Learning jobs? Cities in Colorado with the most Vice President Machine Learning job openings:
Vice President, Knowledge Management

Vice President, Knowledge Management

Vizient, Inc.

Centennial, CO

Other

Posted 17 days ago


Job description

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Vice President, Knowledge Management The Organization We help society's foundational healthcare institutions achieve their full potential in service to others. We are our clients' trusted partners in ever-changing times. For nearly 40 years, Kaufman Hall has provided independent, objective insights grounded in sound data and analysis to help clients fulfill their missions, achieve their goals, and tackle their toughest problems.

Kaufman Hall provides world-class management consulting in Strategy & Business Transformation, Financial Planning & Data Analytics, Treasury & Capital Markets, Mergers & Acquisitions, Revenue & Operations Improvement, and Clinical Solutions. At Kaufman Hall, we believe that sustained success is never an accident. It is the result of sound decision making, based on data-driven analysis and disciplined thinking, and guided by the fundamental principles of corporate finance.

The Position Kaufman, Hall & Associates, LLC is seeking a Vice President, Knowledge Management to lead the firm's enterprise knowledge management strategy, department, and capabilities. This leadership role is responsible for advancing how intellectual capital is captured, organized, curated, and leveraged across the organization to support business development, client delivery, innovation, and operational excellence. The Vice President will partner closely with the SVP, Sales and Delivery Enablement, Consulting Practice Leaders, and various operations and enterprise leads to strengthen the accessibility, usability, and scalability of the firm's knowledge assets.

This individual will lead efforts to improve knowledge sharing and reuse, drive adoption of Knowledge Management ("KM") tools and processes, support proposal and engagement teams with high-value content, and ensure the firm's intellectual capital is effectively maintained and scaled. This role will also play a critical leadership role in shaping the firm's knowledge and AI enablement strategy by partnering closely with Information Technology, data and analytics leaders, and AI stakeholders across the organization. The Vice President will help define scalable approaches for leveraging AI technologies, intelligent search, automation, and digital knowledge solutions to enhance operational efficiency, accelerate insight generation, and improve the accessibility and usability of the firm's intellectual capital.

The ideal candidate combines strategic thinking, operational leadership, change management expertise, and a strong understanding of consulting environments, professional services knowledge ecosystems, and emerging AI-enabled capabilities. Key Responsibilities Lead the ongoing development and execution of Kaufman Hall's enterprise knowledge management strategy aligned with business priorities and growth objectives Oversee the firm's knowledge management infrastructure, repositories, governance standards, taxonomy, and content lifecycle management processes Partner with consulting and operational leaders to improve the capture, organization, and dissemination of intellectual capital across practices and functions Drive adoption and continuous improvement of knowledge management tools, platforms, workflows, and user experiences Collaborate with sales, marketing, and consulting teams to support high-quality, efficient proposal development and client pursuit activities Develop and maintain governance processes to ensure content quality, consistency, relevance, and compliance with firm standards Lead initiatives to improve searchability, accessibility, and usability of firm knowledge resources and data assets Partner with IT, data, digital, and AI leadership teams to develop and operationalize a scalable enterprise AI and knowledge enablement strategy Help evaluate, implement, and govern AI-enabled knowledge management tools, intelligent search capabilities, automation solutions, and emerging technologies Establish governance, standards, and best practices related to AI-assisted content management, knowledge curation, and enterprise information usage Identify opportunities to improve productivity, insight generation, and content accessibility through responsible and practical application of AI capabilities Collaborate with stakeholders to ensure alignment between knowledge management strategy, enterprise technology priorities, and digital transformation initiatives Build strong relationships across the organization to foster a culture of collaboration, knowledge sharing, and continuous learning Lead, mentor, and develop knowledge management team members and associated resources Monitor KM performance metrics, adoption trends, and operational effectiveness, providing regular reporting and recommendations to leadership Qualifications The ideal candidate will possess: 10+ years of progressive experience in knowledge management, content management, consulting operations, digital enablement, or related professional services leadership roles Demonstrated experience leading enterprise knowledge management programs, systems, and governance models within a consulting, healthcare, or professional services environment Strong understanding of sales operations and enablement, intellectual capital management, and consulting engagement and delivery workflows Experience implementing or optimizing KM technologies, collaboration platforms, document management systems, enterprise search tools, and AI-enabled solutions Strong understanding of emerging AI technologies, content intelligence, digital collaboration platforms, and scalable knowledge enablement capabilities Experience partnering with IT, data, analytics, and digital transformation teams to implement scalable technology-enabled solutions Familiarity with governance considerations related to AI-enabled knowledge management, information security, and enterprise content standards Demonstrated ability to translate business needs into scalable operational and technology strategies Proven ability to lead cross-functional initiatives and influence senior stakeholders across a matrixed organization Exceptional organizational, communication, facilitation, and change management skills Strong analytical and problem-solving capabilities with attention to operational effectiveness and user experience Demonstrated leadership experience with team development and performance management Ability to balance strategic priorities with operational execution in a fast-paced environment High degree of professionalism, collaboration, and client service orientation Applicants for employment must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Kaufman Hall (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status) Education Bachelor's degree required Physical Requirements Must be able to perform essential duties satisfactorily with reasonable accommodations Work is generally done sitting, talking, hearing and typing. Visual acuity to use a keyboard, prepare and analyze data and figures; transcribing, viewing a computer terminal; extensive reading Work Environment Travel Required: Occasional 0-10% The role is Chicago, IL or Denver, CO and requires 3 days per week in office

Work is regularly performed in a combination of office and home setting. It may require the maintenance of a home office and proximity to an airport for work related travel Estimated Hiring Range: At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range.

Compensation decisions are tailored to individual circumstances. The current salary range for this role is $160,000 to $200,000. Kaufman Hall is committed to providing equal opportunity for all employees and applicants.

We recruit, hire, train, promote, pay, and administer all employment actions without regard to actual and also perceived or assumed protected group status as defined by law of an individual or that individual's associates or relatives. Our policies and the law prohibit employment discrimination against any employee or applicant on the basis of any legally protected status. Estimated Hiring Range: At Vizient, we consider skills, experience, and organizational needs in our compensation approach.

Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $0.00 to $0.00

This position is also incentive eligible. Vizient has a comprehensive benefits plan. Please view our benefits here: http://www.vizientinc.com/about-us/careers Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.