VP Data Modernization

Relocation Benefits Available

Specific Job Summary

Located at the Marriott Vacations Worldwide (MVW) Corporate Office in Orlando, FL, the Vice President (VP), Data Modernization is responsible for shaping the strategic vision, design, development, and delivery of data acquisition and modernization technologies and platforms across the MVW Enterprise.

This role enhances owner and customer relationships and experiences by translating product requirements into value delivery, supporting the achievement of strategic resort operations business objectives and key results (OKRs). Creates business value by communicating the technical roadmap to key stakeholders, supporting data acquisition, and modernizing the Enterprise Data Platforms. Responsibilities include identifying data sources, defining ingestion patterns, building a connected data ecosystem, cleansing ingested data for quality, establishing a Data Engineering Center of Excellence, and modernizing the data platform and other critical technology functions. This role employs agile practices to translate, shape, and prioritize requirements into user stories and acceptance criteria. It is accountable for setting, achieving and measuring progress towards data platform pod OKRs.

Oversees effective management of group product assets throughout their product life cycles by ensuring product features meet technical systems, security, data privacy, and architecture compliance standards and the implementation of governance, best practices, release management, and product performance optimization.

Key Results

• Data Acquisition and Modernization technical product pod members are engaged, motivated, and operating effectively.
• Data Acquisition technology systems are highly resilient and secure.
• Internal and external information security risks are identified, assessed, and mitigated in accordance with the company’s risk threshold.

Working Relationships

• GT Senior Leaders (CIO+1s)
• Global Technology Sub-functional Leads
• Data & Analytics Leadership
• Internal Audit Leadership
• Legal Counsel
• Risk Management Leadership
• Finance & Accounting Leadership

Specific Expected Contributions
 

• Builds Data Engineering team from ground up, attracts and retains talent.
• Defines and communicates with key stakeholders.
• Executes a strategic vision and platform roadmap for Data Ingestion capabilities, Data Engineering Excellence, ensuring support of MVW’s long-term business objectives and that are current with industry best practices.
• Works closely with Data & Analytics senior business leaders, platform and product technical managers, and other key stakeholders across the MVW Enterprise to define business, digital, and technology Strategy for Data Engineering. Accountable for setting, achieving, and measuring progress toward OKRs for product pods.
• Drives the Quarterly Business Review (QBR) on behalf of the Data Engineering group. Ensures the Data Engineering pods in the group are maximizing return on investment, enabling business value/results, and managing stakeholder expectations

• Oversees the design, development, and implementation of effective Data ingestion and Data Engineering solutions, customizations, and integrations to meet business needs within established cost parameters.
• Actively oversees Data Engineering practices and technologies throughout development lifecycles to ensure effective lifecycle management.

• Partners with security and data privacy teams to implement measures protecting guest data and ensuring system safety from cyber threats.
• Leads, coaches, and mentors a team of product technology pods inclusive of scrum masters, data engineers and developers, fostering a culture of innovation, collaboration, and continuous improvement based on data-driven decision making. Identifies trade-offs between short- & long-term advantages to the team's vision.

• Introduces automation tools and standardizes production platforms to ensure scalability as Data products and Platforms expand.

• Collaborates with cross-functional teams within GT and with business functional with the goal of identifying opportunities for process improvement and system enhancements.
• Ensures reliability, scalability, and security of Enterprise Data Platforms technical products adhering to best practices and compliance standards.
• Manages vendor relationships, including selection, contract negotiation, and performance evaluation where applicable.
• Stays abreast of new Data Engineering and Platform technical features evaluating their applicability to business goals and leading the adoption of relevan