VP, Enterprise Architecture, Data And AI

Our mission is to create the Experience of a Lifetime for our employees, so they can, in turn, create the Experience of a Lifetime for our guests. We own and operate the most renowned destination resorts in the world as well as regional and local ski areas outside major cities, and connect them all through one unrivaled network. We are looking for ambitious leaders, innovators and creators to join our talented team. If you're ready to pursue your fullest potential, we want to get to know you! Candidates for year-round positions are reviewed on a rolling basis. Applications will be accepted up to 90 days after the posting date, or until the position is filled (whichever is first).

Job Summary:

The VP of Enterprise Architecture, Data and AI reports directly to the CIO and is a member of the IT Senior Leadership Team. This leader is accountable for advancing the Company's enterprise architecture direction, enterprise data strategy, and foundational AI capabilities. The role provides the standards, frameworks, roadmaps, decision forums, and reusable capabilities needed to help teams move faster together—without creating centralized delivery bottlenecks. This role has three primary leadership dimensions: 1. Enterprise Data Strategy & Data Lake — Directly leads the team responsible for the Company's enterprise data lake, data platform capabilities, and enterprise data strategy. Owns the evolution of data architecture standards, governance, data quality, scalable pipeline patterns, and platform capabilities that support analytics, reporting, and AI-driven products. 2. Enterprise AI Technology Strategy & Centralized AI Capabilities — Establishes the Company's enterprise AI technology strategy and leads the implementation of foundational AI capabilities, including governance frameworks, reusable agent patterns, orchestration approaches, integration standards, and shared components. Owns enterprise-level AI capabilities and agents that span multiple domains, while enabling product and domain teams to build AI solutions on a common framework. 3. Enterprise Architecture Coalition — Leads a cross-departmental architecture coalition comprised of architects embedded across IT. Convenes, coordinates, and drives alignment on enterprise patterns, reuse, and architectural decision-making—ensuring teams move faster together without unnecessary friction or duplication. This leader does not own all AI delivery. Our vision is for AI to become embedded across our entire technology ecosystem. This role builds the centralized capabilities and common frameworks that make that possible, while enabling teams across the department to extend and apply them in support of the specific functions and lines of business they serve.

Job Specifications:

style="margin-bottom:0.0in;margin-top:0.0px

• -

Starting Wage:

$195,000

• $250,000 + annual bonus + equity

• Employment Type:

  Year Round

• Shift Type:

  Full Time hours available

• Minimum Age:

  At least 18 years of age

•

Housing Availability:

No Job Responsibilities:

style="margin-bottom:0.0in;margin-top:0.0px

• -Set and communicate the enterprise AI, data, and architecture vision, maintaining an integrated roadmap that aligns to business priorities, IT strategy, platform evolution, and emerging technology trends.
• Lead the enterprise data platform team with accountability for the reliability, scalability, usability, and adoption of the Company's data lake and related enterprise data capabilities.
• Own and evolve the enterprise data strategy, including platform architecture, governance, data quality standards, and scalable pipeline patterns that support analytics, reporting, and AI-driven products.
• Establish and evolve the Company's enterprise AI technology strategy and foundational AI capabilities, including reusable agent patterns, orchestration approaches, integration standards, governance frameworks, and shared components that teams across the organization can leverage.
• Lead the enterprise architecture coalition, convening domain, platform, and application architects from across IT to drive alignment, reuse, and enterprise decision-making—pragmatically and without unnecessarily slowing value creation.
• Partner with application and software engineering teams to establish shared development standards, reusable patterns/APIs, CI/CD enablement, and quality engineering practices that reduce friction in adopting enterprise patterns.
• Shape technology platform and partner strategy for enterprise data and AI capabilities, including build-vs-buy recommendations, vendor evaluation, and alignment of platform choices to enterprise architecture principles.
• Advance enterprise knowledge access through documentation, patterns, playbooks, and AI-enabled discovery of institutional knowledge to reduce single points of failure and improve reuse.
• Provide pragmatic architecture guidance that accelerates execution, avoids ivory-tower governance, and prevents late-stage review bottlenecks.
• Define and track success measures that emphasize enterprise outcomes, including reuse, integration, reliability, adoption, time-to-delivery, and scalable knowledge access. Key Partnerships & Stakeholders style="margin-bottom:0.0in;margin-top:0.0px
• -

CIO and IT SLT:

Enterprise priorities, investment alignment, decision rights, and governance.

• Platform and Application Leaders:

  Federated AI adoption, reuse, integration, and architecture alignment across technology domains.

• Software Engineering Teams:

  Shared development standards, DevEx, CI/CD, quality engineering, and reusable patterns/APIs that reduce friction in adopting enterprise standards.
• Transformation Management Office (TMO): Portfolio alignment, sequencing, and integration into transformation programs and enterprise cadences.

• Data & Analytics:

  Data platform evolution, governance, and scalable pipelines for analytics, reporting, and AI use cases.

• Security, GRC, and Privacy:

  Responsible AI, data risk management, controls, and compliance-by-design.
• Legal /

Risk:

AI and data risk guidance, contract/vendor considerations, and enterprise policy alignment. Leadership Expectations style="margin-bottom:0.0in;margin-top:0.0px

• -Operate as an enterprise leader first—balancing domain needs with enterprise priorities.
• Be thoughtful and grounded in best practices, but equally pragmatic and agile—biased toward action and learning over perfection.
• Bring a strong but adaptable point of view, informed by business context and a rapidly evolving AI landscape.
• Drive clear enterprise decision-making when priorities, standards, or platform choices require tradeoffs across teams.
• Influence across a matrixed organization through clarity, credibility, and coalition leadership.
• Communicate AI, data, and architecture strategy clearly to executive audiences, connecting technical direction to business outcomes, risk, and value.
• Simplify complexity and protect capacity by clarifying direction, patterns, and decision-making forums.
• Model collaboration and enterprise thinking; reinforce ways of working so alignment holds under delivery pressure.

Job Requirements:

style="margin-bottom:0.0in;margin-top:0.0px

• -Prior VP or Sr. Director experience, or equivalent senior technology leadership experience.
• 15+ years of progressive technology leadership experience spanning enterprise architecture, data platforms, AI-enabled systems, and/or large-scale enterprise technology capabilities.
• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience.
• Experience leading multi-disciplinary teams across enterprise architecture, data engineering/platforms, data governance, and/or AI enablement.
• Demonstrated success building, operating, and evolving enterprise-scale data platforms, data lakes, and data strategies with accountability for reliability, adoption, performance, and business value.
• Experience establishing reusable enterprise standards, patterns, governance approaches, and integration frameworks that accelerate delivery without creating bureaucracy.
• Experience shaping cloud, data platform, or AI platform strategy, including vendor evaluation, partner strategy, and build-vs-buy decisions.
• Executive-level communication skills with a proven ability to translate technical complexity into business-relevant options, decisions, risks, and tradeoffs.
• Track record leading through ambiguity and change with a balance of strategic depth and operational pragmatism—equally comfortable setting long-term direction and rolling up sleeves to unblock teams. The expected Total Compensation for this role is $195,000
• $250,000 + annual bonus + equity. Individual compensation decisions are based on a variety of factors. Job Benefits style="margin-bottom:11.0px
• -Ski/Mountain Perks! Free passes for employees, employee discounted lift tickets for friends and family AND free ski lessons
• MORE employee discounts on lodging, food, gear, and mountain shuttles
• 401(k) Retirement Plan
• Employee Assistance Program
• Excellent training and professional development Full Time roles are eligible for the above, plus: style="margin-bottom:11.0px
• -Health Insurance; Medical Insurance, Dental Insurance, and Vision Insurance plans (for eligible seasonal employees after working 500 hours)
• Free ski passes for dependents
• Critical Illness and Accident plans Vail Resorts offers a 'Hybrid' work environment for Broomfield-based roles where employees must live within 50 miles of the Broomfield office and work on-site Tuesday, Wednesday, Thursday and have flexibility to work off-site on Mondays and Fridays.

Please note that the ability to work in person or off-site, and the particulars related to such work, are subject