Director, Data Engineering **

Director of Data Engineering

Marriott Vacations Worldwide (MVW) is a leading global vacation company that offers vacation ownership, exchange, rental and resort and property management, along with related businesses, products, and services. The Company has over 120 vacation ownership resorts and approximately 700,000 owner families in a diverse portfolio that includes some of the most iconic vacation ownership brands. The Company also operates exchange networks and membership programs comprised of nearly 3,200 affiliated resorts in over 90 countries and territories, as well as providing management services to other resorts and lodging properties.

The vision of MVW is to strive to build long-lasting relationships with their Owners, Members, customers, and associates to help them live their lives to the fullest. Innovation. Integrity. Excellence. This is the story of MVW. And while the company spans brands and businesses, decades and continents, their shared inspiration continues to drive them forward: delivering unforgettable experiences that make vacation dreams come true.

The Global Technology (GT) team at Marriott Vacations Worldwide (MVW) is on a multi-year journey to modernize technical and digital products and platforms across all business lines. This role demands a visionary leader with a technical understanding of the range of Resort Operations business products in solving complex business challenges. Success as a leader in recruiting, developing, and retaining technical talent on high performing teams is required. The incumbent is a proven thought leader, a consensus builder, and an integrator of people, processes, and technology.

The Director of Data Engineering is accountable and responsible for transforming data capabilities into trusted, scalable, and product‑oriented assets that enable analytics, AI, and business decision‑making. The role balances strategic vision, hands‑on execution, and leadership, driving measurable improvements in data quality, accessibility, cost efficiency, and business value realization.

This role leads the modernization and adoption of data architecture, platforms, and operating models within assigned business domains, ensuring alignment with enterprise data strategy, governance standards, and business priorities.

Acting as the senior data engineering leader for data consumption of one or more domains, the Director partners closely with domain executives, product owners, analytics teams, and technology leaders to deliver high‑quality, well‑governed, and reusable data products.

Key Results

• Data products are trusted, adopted, and reused.
• Business leaders see measurable value from data modernization.
• Engineering teams deliver faster with higher quality and less re-work.
• Enterprise standards are strengthened without slowing innovation.
• Platform costs, risk, and technical debt are actively managed.

Expected Contributions

Data Strategy & Roadmap

• Acts as a key contributor to a multi-year data modernization roadmap for assigned domains, aligned to enterprise data, analytics, and AI strategies.
• Translates business objectives into prioritized data initiatives, investments, and measurable outcomes.

Data Product & Architecture Leadership

• Leads design and delivery of data products, e.g., curated datasets, analytical models, APIs, using modern architectures such as data mesh, cloud platforms, and streaming where appropriate.
• Ensures data solutions adhere to enterprise standards for interoperability, security, scalability, and cost efficiency.

Data Quality, Governance & Trust

• Establishes and enforces data quality, metadata, lineage, and stewardship practices in partnership with enterprise data governance teams.
• Drives accountability for data accuracy, completeness, and timeliness, enabling trusted reporting and advanced analytics.

Business Partnership & Value Realization

• Serves as primary data modernization partner to domain business leaders, ensuring data initiatives directly support operational performance, financial outcomes, and strategic decision making.
• Quantifies and communicates business value delivered through data modernization, e.g., efficiency gains, risk reduction, revenue enablement.

Delivery Execution & Modern Engineering Practices

• Manages end-to-end delivery of data modernization initiatives using agile and product-based delivery models.
• Removes delivery impediments, manages dependencies, and ensures timely, high-quality outcomes across multiple concurrent initiatives.

Enterprise Alignment & Collaboration

• Actively collaborates with peer domain data leaders, central platform teams, and enterprise architecture to ensure consistency, reuse, and shared learning across data domains.
• Contributes to enterprise-wide data standards, tooling decisions, and operating model evolution.

Risk, Compliance & Operational Excellence

• Ensures data solutions comply with regulatory, privacy, and security requirements.
• Proactively manages data risks, technical debt, and platform costs while improving resilience and operational stability.

Candidate Profile

Education

• Bachelor's degree in Computer Science, Information Systems, Data/Analytics, Engineering, Mathematics, or related field or equivalent practical experience.
• Master's degree, e.g., MS Data Science/Analytics, MS Information Systems, or similar preferred.

Certifications

• Demonstrated continuing education and/or experience in modern data engineering and cloud.
• Relevant certifications (one or more), such as:
• Cloud: Fabric / Azure / AWS / GCP data engineering or architecture certification
• Data governance: DAMA, Collibra/Alation training
• Agile/product: SAFe, Scrum, Product Management training

Experience

• At least 10 years of progressive experience in data engineering and data architecture.
• At least seven years designing and delivering data platforms, pipelines, and curated analytical datasets at enterprise scale.
• At least three years driving modernization, i.e., cloud migration, legacy warehouse refactors, data lakehouse adoption, streaming enablement, or data product implementation.
• Proven delivery ownership for multiple concurrent initiatives spanning:
• ingestion → transformation → semantic modeling → consumption (BI/AI)
• governance, quality, security, and cost management
• Experience partnering with domain executives to prioritize data investments, define measurable outcomes and drive adoption.
• Experience in data mesh concepts and data leadership preferred.
• Experience in a matrixed environment with shared platform teams + data delivery teams preferred.

Skills & Attributes

• Modern Data Engineering & Architecture: Expert in designing and delivering scalable, cloud‑based data platforms, e.g., lakehouse, streaming, APIs, supporting analytics and AI at enterprise scale.
• Data Product Leadership: Strong data‑as‑a‑product mindset with proven ability to deliver trusted, reusable datasets and data products aligned to business outcomes.
• Data Quality & Governance: Deep experience embedding data quality, metadata, lineage, and stewardship practices to enable trusted reporting and advanced analytics.
• Business Partnership: Trusted advisor to domain and executive leaders; skilled at translating business needs into prioritized data initiatives with measurable value.
• Delivery & Execution: Proven leader of complex, multi‑initiative data modernization programs using agile and product‑based delivery models.
• Enterprise Influence: Effective collaborator in matrixed environments, influencing standards, tooling, and operating models without direct authority.
• Risk, Security & Cost Awareness: Strong working knowledge of data privacy, security, regulatory requirements, and platform cost optimization.

Marriott Vacations Worldwide is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture.