Director, Enterprise Data & Analytics

Marriott Vacations Worldwide

3d•Onsite

About The Position

The Director, Enterprise Data & Analytics defines, implements, and manages enterprise data, reporting, analytics, and business intelligence strategies, processes, platforms, and services. The role leads the development, operation, standardization, and continuous improvement of financial, managerial, operational, and analytical data products across the enterprise. Working with senior business leaders and Global Technology (GT), the Director translates business priorities into secure, scalable, reliable, and supportable solutions that meet quality, schedule, cost, and control requirements. The Director provides leadership for Power BI platform support and drives data enablement across the Enterprise Data Platform and ADW. This includes requirements and testing support for Bronze and Silver layers and data engineering support for the Gold layer. The Director supervises associates and contractors, leads large-scale reporting and data initiatives, promotes a data-driven culture, and ensures applicable activities follow established processes supporting SOX compliance, data security, change management, and production support. The Director reports directly to the VP Enterprise Reporting & Data Enablement and is based at MVW's Headquarters in Orlando, Florida.

Requirements

Bachelor’s degree in Information Systems, Computer Science, Data Analytics, Data Engineering, or a related field, or equivalent relevant experience.
At least eight years of progressive experience in reporting, analytics, business intelligence, data platforms, data engineering, or enabling technologies in a complex or global organization.
At least five years of experience leading teams, including associates, contractors, or cross-functional technical delivery teams.
Demonstrated experience leading enterprise reporting and analytics programs, platform operations, production support, implementations, upgrades, and large-scale change initiatives.
Hands-on or leadership experience with Power BI, including semantic models, workspaces, gateways, refresh and process monitoring, deployment practices, capacity management, security, and production support.
Experience partnering with technology teams on modern data platforms and layered data architectures.
Experience translating business and reporting requirements into data integration, pipeline, modeling, testing, and data quality requirements.
Proficient use of SQL and experience with relational databases, data warehouses, dimensional modeling, business intelligence tools, and data validation techniques.
Experience with full solution development lifecycle practices, project estimation, configuration and change management, quality assurance, testing methodology, release management, and operational support.
Experience operating in a SOX-controlled environment and maintaining evidence, approvals, access controls, and change documentation for audit and compliance activities.
Strategic and operational leadership, connecting enterprise priorities to practical data, reporting, platform, and engineering roadmaps.
Strong executive communication, consulting, facilitation, and stakeholder-management skills in a dynamic, cross-functional matrix environment.
Advanced knowledge of enterprise reporting, data warehouse and lakehouse concepts, Microsoft solutions such as Fabric, dimensional modeling, semantic modeling, business intelligence solution design, and production support.
Working knowledge of Power BI administration and support concepts, including capacity, workspaces, gateways, refresh operations, monitoring, security, and deployment governance.
Ability to evaluate complex issues, analyze data, identify root causes, manage risk, and recommend scalable and supportable solutions.
Ability to learn complex business processes and design holistic solutions balancing business value, technical quality, control requirements, and operational sustainability.
Strong program and project management skills, including prioritization, estimation, dependency management, risk management, quality management, and follow-through.
Collaborative, service-oriented leadership style and a record of building strong teams and productive partnerships across business and technology organizations.
Proactive, decisive, adaptable, and composed in a fast-paced, deadline-driven environment with competing priorities.
Commitment to data quality, security, governance, documentation, standardization, automation, and continuous improvement.

Nice To Haves

MBA, advanced degree, or relevant business intelligence, cloud, data engineering, or platform certifications.
Experience with Agile delivery methods.
Hospitality or timeshare experience.

Responsibilities

Participate in enterprise and business strategic planning, establishing annual team objectives, priorities, service expectations, and measurable outcomes aligned with organizational goals.
Lead data and analytics strategy, governance, delivery, and operational support across financial, managerial, operational, and business-line use cases.
Deliver standardized, centralized, automated, and reusable reporting and analytics solutions that improve access to accurate data, reduce manual effort, and create measurable business value.
Rationalize and standardize enterprise and product-team report inventories, semantic models, analytical data products, and key metrics.
Transition manual and non-conforming solutions to approved enterprise platforms and practices.
Provide technical leadership for data, reporting, analytics, and platform initiatives, including architecture discussions, design reviews, build decisions, testing, deployment, production support, and lifecycle management.
Monitor Microsoft tool releases and technologies, including Power BI and Fabric, and recommend improvements and feature enablement in the MVW environment.
Manage resources, schedules, dependencies, issues, risks, quality, and delivery for assigned programs, projects, upgrades, integrations, and operational services.
Coordinate and monitor analysis, design, development, testing, deployment, and production support for reporting, analytics, semantic models, and data products.
Lead Power BI technical support and platform operations, including process and refresh monitoring, incident and problem coordination, capacity management, workspace lifecycle and access management, deployment oversight, and on-premises or virtual network gateway support.
Establish and monitor Power BI standards for performance, reliability, security, supportability, and sustainable growth; partner with GT and Microsoft support to resolve platform issues as needed.
Provide business and technical requirements, data validation criteria, and testing support for Bronze and Silver data layers, including source-to-target validation, data quality review, defect triage, and acceptance coordination.
Lead Gold-layer data engineering support, including dimensional and analytical modeling, curated data products, transformation logic, performance optimization, documentation, testing, deployment, monitoring, and production issue resolution.
Ensure reporting, analytics, data engineering, and platform decisions align with MVW and GT strategies, architecture principles, information security requirements, data governance standards, and published policies.
Ensure applicable processes, reports, data products, platform changes, access decisions, and deployments follow documented SOX-supporting procedures, including change management, testing evidence, approvals, segregation of duties, certification, and audit-ready documentation.
Protect analytics and data assets by enforcing appropriate security, access, privacy, retention, and control requirements.
Supervise, coach, and develop associates and contractors; set priorities, clarify accountabilities, build technical and leadership capability, and ensure performance expectations and commitments are met.
Identify opportunities to improve service quality, process efficiency, platform resilience, cost management, user experience, and the value delivered through data and analytics.
Build trusted partnerships with senior leaders and business stakeholders to clarify priorities, translate needs into actionable requirements, communicate progress and gaps, and recommend practical solutions.
Lead the Power BI Center of Excellence, expanding self-service capabilities, promoting data literacy, and encouraging adoption of governed data and analytics practices.
Lead Data Enablement capabilities and partner with data product teams to ensure data products are documented, cataloged, governed, secured, and aligned with enterprise standards.
Partner with GT on the support and evolution of the Enterprise Data Platform, clarifying service ownership, dependencies, support processes, operational requirements, release readiness, and production support expectations.
Partner with data integration and data engineering teams to translate reporting and advanced analytics needs into data pipeline, integration, modeling, and quality requirements.
Perform related duties in support of enterprise and business goals as required.