Vail Resorts, Inc. Logo

Vail Resorts, Inc.

Manager, Data Governance

Posted One Month Ago
Be an Early Applicant
In-Office
Broomfield, CO, USA
Mid level
In-Office
Broomfield, CO, USA
Mid level
Manage enterprise data governance and data management for customer and transactional data. Define data models, taxonomies, standards, policies, quality metrics, and data dictionaries; establish stewardship practices; monitor privacy and compliance; assess and remediate data quality issues; support analytics, testing, and reporting; and coordinate between technology, marketing, and business teams to improve data integrity and marketing effectiveness.
The summary above was generated by AI

The Marketing Analytics team is a newly formed group responsible for measuring guest behaviors and marketing effectiveness across the organization.  Guest analytics encompasses evaluation of historical behavior trends by guest segment and development of insights and models to help inform marketing decisions at a guest segment level.  Marketing effectiveness analytics involves assessing the impact of marketing spend and developing insights to help inform marketing decisions at a program and channel level.

The primary purpose of the Manager of Data Governance & Data Management position will be to establish and enforce data integrity across the customer database and help develop/inform key reports and metrics to drive company performance. The role will be a critical connection between technology and business and will support the company’s efforts to leverage our data assets more effectively. Ideal candidates will have detailed database knowledge, a broad understanding of analytics and experience defining and implementing Data Governance practices.

  • [Design] Be a key participant in the re-imagining of the enterprise’s customer database. Drive the development of the table structures, data rules and environment that will support the company’s analytic marketing efforts and vision. Define the data model and taxonomy to catalogue content, including meta-data repository management.
  • [Standardization] Develop data standards for guest and transactional data across the organization.  Create documentation around usage policies, data standards, requirements, guidelines and data definitions. Assess the guest and transactional data repositories for compliance with data governance policies and standards.
  • [Data Stewardship] Act as a business data steward by promoting integrated data strategies across domains and driving the standard use of data through common processes and definitions.  Identify opportunities for data improvement and provide risk assessments related to guest and transactional data quality concerns.
  • [Partnership] Identify/recruit functional data stewards throughout the organization and collaborate with them on maintaining data quality.  Partner with analytical and technology leadership to ensure the data infrastructure is in place to evaluate and drive marketing effectiveness. Act as the primary contact between departments for identifying and resolving guest and transactional data issues.
  •  [Data Quality] Share quality perceptions & facts about guest and transactional data. Define quality metrics and thresholds and audit guidelines. Evaluate business cost and lost opportunities due to poor data quality to evaluate ROI of data quality investment decisions.  Define, prioritize, measure and correct data quality issues.
  • [Privacy & Compliance] Monitor and promote adherence to usage, access and data/information sharing policies pertaining to guest and transactional data across the organization
  • [Data Analysis] Analyze and organize the data available to the business.  Inspect, clean, understand, and transform data while keeping the big picture of the business model in mind and analyze with focus and purpose to transform quality data into an asset.
  • [Testing] Support testing & validation of data enhancements and development from the technology organization.
  •  [Knowledge Base] Establish and maintain an enterprise data asset map and data dictionary

Requirements:

  • Bachelors degree in related field (Business, Technology, Accounting, Finance, Economics, Marketing, or Mathematics) required
  • At least 3-5 years prior data management experience required
  • Strong organizational and project management skills are essential. Must be able handle multiple projects simultaneously and coordinate across multiple functions within an organization.
  • Previous experience with development and maintenance of business data models, functional data requirements, data accessibility, data quality and governance and consistent and effective alignment in the understanding of the data elements between Systems and the various lines of business.
  • Highly proficient/advanced skills within MS Office (Excel, Outlook, Powerpoint, Word)
  • Advanced experience with analytic tools/software such as SAS, SPSS, MS Access, MS Excel, Cognos
  • Understanding of data management and data modeling principles and experience from real world implementations. Understanding of data management systems and data repositories including data warehouses, data marts or business intelligence environments. Understanding and strong awareness of pragmatic data quality and data governance policies, procedures and guidelines.
  • Candidates must be highly organized and detail-oriented.
  • Experience with customer and transactional data and teams focused on analyzing and interpreting customer data, interpreting results and formulating recommendations for various functional areas of a marketing organization
  • The ideal candidate will have a balanced skilled set including broad business knowledge, data management/BI understanding and facilitation/communication and negotiation skills.
  • Hospitality or travel industry experience helpful but not required; broad marketing experience in a company driven by analytics.
  • Demonstrated strength in written and verbal communication, adjusting message to audience.  Excellent interpersonal and relationship management skills, with the ability to communicate effectively at all levels of the organization.



HQ

Vail Resorts, Inc. Broomfield, Colorado, USA Office

Broomfield, CO, United States

Vail Resorts, Inc. Brighton, Colorado, USA Office

Brighton, United States

Vail Resorts, Inc. Crested Butte, Colorado, USA Office

Crested Butte, United States

Similar Jobs

One Month Ago
In-Office or Remote
United States
96K-181K Annually
Entry level
96K-181K Annually
Entry level
Fintech
Leads data security governance across database monitoring, encryption, certificate and key management, HSM operations, data masking, and cryptographic asset inventory. Manages a security governance team, develops controls and procedures, supports audits and regulatory inquiries, partners cross-functionally, and drives post-quantum cryptography readiness, automation, metrics, service reliability, and operational maturity.
Top Skills: AppviewxAtallaBigidCertificate ManagementCryptographic Asset ManagementDatabase Activity MonitoringDigicertEncryptionGoogle Key Management ServicesHardware Security ModulesMicrosoft PurviewPost-Quantum CryptographySecupiSsh Key Management
One Month Ago
Hybrid
Denver, CO, USA
170K-180K Annually
Senior level
170K-180K Annually
Senior level
Information Technology • Consulting
Establishes and operates North America Operations’ data-governance framework, including ownership, stewardship, quality, metadata, lineage, definitions, and AI governance. Partners with business, data, technology, risk, and compliance teams to resolve data issues, automate controls, improve trust, and embed governance into data products, analytics, and AI solutions. Develops playbooks, training, metrics, and continuous-improvement processes while driving accountability across functions.
Top Skills: Fabric Data AgentsMicrosoft CopilotMicrosoft FabricMicrosoft Purview Data MapMicrosoft Purview Unified CatalogPower BIPower Platform
One Month Ago
Hybrid
Denver, CO, USA
99K-232K Annually
Senior level
99K-232K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead development and implementation of data governance strategies, manage client accounts and deliverables, supervise and mentor teams, analyze data to inform business decisions, ensure compliance with firm standards, and identify improvements in data management processes.
Top Skills: AlationAws Certified Data AnalyticsAws Solutions ArchitectAzure Data EngineerAzure Solutions ArchitectCollibraDama CdmpDatabricksGoogle Professional Data EngineerInformaticaSap Master Data Governance (Mdg)Snowpro (Snowflake)

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account