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Vice President Data Science Jobs in Colorado (NOW HIRING)

Stackinfra

Vice President, Enterprise Security

Denver, CO

$161K - $202K/yr

Data runs on STACK. THE POSITION: The Vice President, Enterprise Security serves as STACK's senior security leader responsible for protecting the company's people, critical infrastructure, operations ...

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Audubon

Vice President, Rockies

Fort Collins, CO · On-site +1

$143K - $160K/yr

... science-based, community-driven impact, dedicated to protecting birds and the places they need ... Make decisions based on comparative data and input from various sources, incorporating diverse ...

Agile Partnering

SVP of Sales

Boulder, CO · On-site

Has proven success as a Chief Revenue Officer or Vice President of Sales - You have likely grown ... An opportunity to join a fast-paced and exciting business in the data science/ad-tech sector, that ...

Antech Diagnostics

Vice President, Marketing

Loveland, CO · On-site

$211K - $263K/yr

Today Antech is driving the future of pet health as part of Mars Science & Diagnostics, a family ... Experience with CRM platforms, marketing analytics, and data-driven decision-making. Knowledge ...

HCA HealthOne

Regional VP Human Resources

Denver, CO · On-site

$195K - $313K/yr

As a Regional VP Human Resources with HCA Healthcare you can be a part of an organization that is ... Seek and utilize employee engagement data (Employee Engagement Survey, sensing) in developing ...

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All JobsVice President Data Science JobsVice President Data Science Jobs in Colorado

Vice President Data Science information

See Colorado salary details

$45.7K

$165.6K

$291.8K

How much do vice president data science jobs pay per year?

As of Aug 2, 2026, the average yearly pay for vice president data science in Colorado is $165,648.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,900.00 and $199,800.00 per year, depending on experience, location, and employer.

What are some common challenges faced by a Vice President of Data Science when scaling data teams across an organization?

A Vice President of Data Science often encounters challenges such as aligning data initiatives with business objectives, ensuring consistent data governance practices, and fostering effective collaboration between technical and non-technical teams. Balancing the need for rapid innovation with maintaining data quality and compliance can also be demanding. Additionally, scaling the team requires strong leadership skills to recruit, mentor, and retain top talent while promoting a culture of knowledge sharing and continuous learning.

What is the difference between Vice President Data Science vs Data Scientist?

AspectVice President Data ScienceData Scientist
Required CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in relevant field
Work EnvironmentExecutive leadership, strategic planningTechnical analysis, model development
Employer & Industry UsageCorporate, large organizations, tech, financeVaried industries, research labs, startups

The Vice President Data Science typically oversees data strategy and manages teams, requiring leadership and strategic skills. Data Scientists focus on building models and analyzing data. While both roles require strong technical skills, the VP role emphasizes management and vision, whereas Data Scientists are more hands-on with data analysis.

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

To thrive as a Vice President of Data Science, you need deep expertise in statistics, machine learning, and data analytics, typically supported by an advanced degree in a quantitative field and significant leadership experience. Familiarity with data platforms like Hadoop, Spark, and cloud-based analytics tools, as well as experience with programming languages such as Python or R, is crucial, along with certifications in data management or analytics. Strong strategic vision, communication, and team leadership skills distinguish top performers in this role. These skills and qualities drive innovation, enable data-driven decision-making, and ensure alignment with organizational goals.

What does a Vice President of Data Science do?

A Vice President of Data Science leads the data science division within an organization, overseeing teams that analyze large datasets to drive strategic business decisions. They are responsible for developing data-driven strategies, managing data science projects, and ensuring the alignment of analytics initiatives with the company’s goals. This executive role also involves collaborating with other leaders, mentoring data science teams, and staying updated on the latest technologies and trends in data science. Ultimately, the Vice President of Data Science ensures that the organization's data assets are leveraged to create measurable business value.

What Does a Vice President of Data Science Do?

As vice president of data science, your responsibilities include targeting audiences through both online and offline data. You lead a team of analysts, manage client needs, and implement solutions to build brands. Predictive analytics is a large part of this job, as is the ability to create strong content based on data science. You use analytical data to develop a business model that reaches a broader audience. Other duties include providing thought leadership, anticipating project risks, and translating analytical science into actionable marketing campaigns. This role is almost always in-house.

More about Vice President Data Science jobs
What are the most commonly searched types of Data Science jobs in Colorado? The most popular types of Data Science jobs in Colorado are:
What are popular job titles related to Vice President Data Science jobs in Colorado? For Vice President Data Science jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Vice President Data Science jobs in Colorado look for? The top searched job categories for Vice President Data Science jobs in Colorado are:
What cities in Colorado are hiring for Vice President Data Science jobs? Cities in Colorado with the most Vice President Data Science job openings:
Vice President Data Science jobs near you
Infographic showing various Vice President Data Science job openings in Colorado as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $165,648 per year, or $79.6 per hour.

VP, Data Center Facilities Engineering

Fleet Data Centers

Denver, CO • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago

Job description

Fleet Data Centers designs, builds and operates mega-scale data center campuses. Fleet provides its customers flexibility and predictability to meet their upside demand forecasts, addressing a key need in the market as traditional leased models are struggling to keep pace with the demand for new Cloud and AI infrastructure. Fleet is led by a team of industry veterans that have already made a lasting imprint on the evolution of global digital infrastructure and are committed and uniquely capable of upleveling data center development scale and operations in the face of rising demand. Fleet is well positioned to bring in-house design, engineering and operational capabilities to collaborate with customers on tailored solutions for campuses of 500MW+. This unique model enables Fleet to provide the world's largest and most sophisticated customers a seamless extension of their own data center fleets with constant access to design innovation. Fleet is headquartered in Denver, Colorado, with satellite offices in Seattle, WA and Arlington, VA.
Position Overview:
The Vice President - Facilities Engineering is Fleet's owner for quality and technical governance across the full facility lifecycle, from design intent and construction execution through commissioning, site startup, turnover/acceptance, and steady-state operations.
Key Responsibilities:
  • Build and run programs that ensure sites are commissioned and turned over to Operations in adherence to a clearly defined, repeatable Fleet standard
  • Ensure sites are only accepted when they are fully ready for operations and customer load
  • Ensure the portfolio operates consistently to Fleet's specifications and policies
  • Lead major infrastructure replacement projects and capital projects outside of construction scope
  • Own continuous improvement through audits, field feedback, training, and standards control
  • Support safety, security, and availability by building measurable, enforceable, and continuously improving programs

Commissioning Program Ownership:
  • Own Fleet's commissioning framework and acceptance philosophy, including stage gates from pre-functional through integrated systems testing and turnover
  • Define and maintain commissioning requirements, deliverables, and pass/fail acceptance criteria for construction and commissioning partners
  • Drive consistent site startup readiness including operational readiness requirements such as spares, tools, procedures, training, documentation, alarm strategy, and escalation paths
  • Establish a disciplined punch list and deficiency management process including severity classification, closure verification, and reporting

QA/QC Program Leadership:
  • Build and run Fleet's QA/QC program including audit plans, inspection points, evidence requirements, and corrective action workflows
  • Ensure quality controls exist across vendor work including construction, commissioning, and maintenance vendors
  • Identify systemic defects and repeat failures and lead root-cause analysis and corrective and preventive actions

Site Acceptance & Turnover Governance:
  • Own requirements for post-construction acceptance into operations including technical, documentation, safety, maintainability, and operability readiness
  • Lead acceptance reviews and decision-making ensuring sites meet defined standards before handoff
  • Define and manage turnover artifacts including as-builts, one-lines, O&M manuals, test reports, sequences of operation, warranty details, parts lists, and asset data standards

Internal Audit & Field Validation Programs:
  • Build internal audit programs to validate operational design is working in the field and operations are executed per Fleet standards and policies
  • Establish audit cadence, sampling methodology, scoring, reporting, and closure verification
  • Partner with site leaders to convert audit findings into durable improvements

Standards Management (Control, Revision, Approval):
  • Own Fleet's standards lifecycle including creation, revision, technical review, approval, publication, and change communication
  • Maintain a controlled document system with versioning, effective dates, and applicability across sites
  • Lead standards councils and review boards to ensure alignment and updates

Maintenance Governance & Approval:
  • Own the maintenance management governance framework
  • Ensure maintenance procedures, periodicities, and methods align with Fleet standards and equipment requirements
  • Establish quality checks for preventive maintenance execution and documentation

Training & Qualification (Technician and Field Engineer):
  • Build training and qualification programs including competency matrices, onboarding, re-qualification, and continuing education
  • Ensure training content aligns with standards and lessons learned
  • Implement programs that improve safety, quality, and uptime outcomes

Cross-Functional / Matrix Team Program Administration:
  • Administer cross-functional program structures including charters, scope, cadence, decision rights, and action tracking
  • Facilitate execution across stakeholders to drive closure on multi-team initiatives

Metrics & Continuous Improvement:
  • Build KPI dashboards for commissioning quality, defect trends, audit results, training completion, maintenance quality, and recurring issues
  • Drive continuous improvement through standardization, simplification, automation, and reduction of rework

Required Qualifications:
  • 10+ years in mission-critical facilities engineering, commissioning, QA/QC, or data center operations or similar infrastructure
  • Demonstrated ownership of commissioning standards and acceptance criteria in large-scale or hyperscale environments
  • Strong working knowledge of critical MEP infrastructure including power distribution, UPS, generators, switchgear, protection schemes, cooling systems, controls/BMS, and monitoring systems
  • Proven experience building audit programs that drive measurable performance improvement
  • Ability to translate engineering intent into field-executable standards, procedures, and requirements
  • Strong documentation discipline including controlled standards, versioning, and evidence-based acceptance
  • Strong cross-functional leadership across construction, operations, vendors, and stakeholders
  • Willingness and ability to travel to Fleet sites as needed

Required Traits and Skills:
  • Integrity and Ethical Standards: Build trust, ensure fairness, and foster long-term relationships
  • Effective Communication: Clearly convey expectations and requirements and deliver presentations to leadership
  • Emotional Intelligence (EQ): Understand motivations and manage high-pressure interactions effectively
  • Strategic Thinking: Align decisions with broader organizational goals
  • Critical Thinking Skills: Develop innovative solutions and adapt to challenges
  • Analytical Ability: Make data-driven decisions and assess risks and costs
  • Influence and Persuasion: Build consensus and secure alignment across stakeholders
  • Operational Paranoia: Anticipate risks and proactively prevent disruptions
  • Relationship Management: Build strong partnerships and networks

Location and Travel:
Work location is flexible to Seattle, WA, Denver, CO, or Alexandria, VA.
Regular travel, as needed, to Fleet offices as well as to on-site visits.
Expected Salary Range: $275,000 - $300,000 + Discretionary Bonus
Fleet Data Centers Employment
Fleet Data Center employees enjoy competitive compensation and comprehensive benefits, including 100% employer-covered medical, dental, and vision insurance, a 401K program, standard paid holidays, and unlimited PTO.
NOTE: This job description is not intended to be all-inclusive. Employees may perform other related duties as assigned to meet the organization's ongoing needs.
Fleet Data Centers is proud to be an Equal Opportunity Employer. Qualified applicants are considered for employment regardless of age, race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or veteran status.
If you need assistance applying for any of our open positions, please contact us at info@fleetdatacenters.com.

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