Senior Director, Data Science and Data Engineering
Vail ResortsAbout the role
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:
Vail Resorts is looking to hire an experienced leader for our innovative Data Engineering and Data Science teams. As Senior Director of Data Science and Data Engineering, the role will be leading high-profile data teams that sit at the center of Vail Resorts organizational strategy touching critical areas and lines of business (Epic Pass, Lift Tickets, Ski School, Rentals, etc.) and receiving full executive sponsorship from CEO and the Executive Committee. The Vail Resorts data teams oversee the design and development of data pipelines and develop algorithmic models using our industry leading guest database to drive commercial impact and continue to push the limits of what is possible. In our next phase of organizational growth, the focus will be on scaling our data assets and infrastructure and advancing our data engineering and data science solutions across our core lines of business in service to our company’s future long-range goals.
In this role, you will be responsible for leading the development, socialization, and implementation of intelligent data solutions across the enterprise. You will be ensuring strong scalability and performance of our data systems across the enterprise as well as advancing our existing set of algorithmic models. You will be creating new innovative data solutions that directly impact our business. You will develop a clear articulation of vision and roadmap of Data Science and Data Engineering towards long-range growth plans for the organization. You will be interfacing directly with senior stakeholders to align on business priorities and provide expertise in how data solutions can provide differentiated impact.
Why this role is special:
- Vail Resorts is a fast-growing company at the forefront of the Travel and Tourism industry – redefining the ski industry in the 21st century
- Leveraging analytics is a core pillar of Vail Resorts’ strategy moving forward – a critical driver of our success leading to a strong willingness to invest
- We are a data-driven business with a proprietary guest database unmatched by any other company in the industry – a great foundation for building out analytic use cases
- There is a significant opportunity to lead our Data capabilities to the next level – we are leading the adoption of data and cloud technologies to continue to enhance our impact
- Direct exposure to senior leaders of the business (CEO, CMO, broader Executive team) – a unique opportunity to team with our business leadership to reimagine analytics
Job Specifications:
- Outlet: Corporate
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Starting Wage: $188,000 - $240,000 + annual bonus + equity
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Employment Type: Year Round
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Shift Type: Full Time hours available
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Minimum Age: At least 18 years of age
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Housing Availability: No
Job Responsibilities:
- Lead, develop, support and facilitate synergies between high-performing Data Science and Data Engineering teams
- Develop, align on, and deliver on long-range vision for data teams at Vail Resorts
- Lead the architecture, development, and management of data-driven solutions across the company
- Drive the adoption of emerging technologies to enhance data analytics capabilities
- Represent functional data teams by managing and collaborating across cross-functional technology and data initiatives
- Present data and technical output that enables stakeholders to make informed and data driven decisions
- Drive and suppo
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