Senior Director, Data & Analytics, Greater China

JOB SUMMARY

The Senior Director of Data & Analytics will lead the development and execution of the organization’s enterprise-wide data strategy, governance, engineering, and data product initiatives. This role is pivotal in transforming data into a strategic asset to drive innovation, operational efficiency, and customer value. The ideal candidate will bridge technical expertise and business acumen to oversee cross-functional teams, ensure data integrity, and deliver scalable data solutions that align with organizational goals.

KEY RESPONSIBILITIES 

• Data Strategy & Leadership 
  • Define and execute the enterprise data strategy, including vision, roadmap, and KPIs to align with business objectives.  
  • Champion a data-driven culture, fostering collaboration across disciplines (e.g., Product, Engineering, Customer, Commercial, Finance).  
  • Identify opportunities to leverage advanced analytics, AI/ML, and automation for competitive advantage.  
• Data Governance & Compliance
  • Establish and enforce data governance frameworks, policies, and standards to ensure data quality, security, and regulatory compliance (e.g., GDPR, CBDT, PIPL)
  • Oversee data cataloging, metadata management, and lineage tracking
  • Partner with Legal and Compliance teams to mitigate risks and ensure adherence to data privacy laws
• Data Engineering & Infrastructure
  • Lead the design, development, and maintenance of scalable data architectures (e.g., cloud platforms, data lakes, warehouses).  
  • Optimize data pipelines for ingestion, transformation, and real-time analytics.  
  • Manage vendor relationships and evaluate emerging technologies (e.g., Snowflake, Databricks, Alicloud/AWS/Azure) 
• Data Products & Analytics 
  • Drive the development of customer-facing and internal data products (e.g., dashboards, APIs, predictive models)
  • Collaborate with Product Managers to prioritize and deliver high-impact analytics solutions
  • Enable self-service analytics by democratizing access to data for stakeholders
• Team Leadership
  • Build and mentor high-performing teams in data engineering, analytics, governance, and product management
  • Foster innovation through continuous learning, agile practices, and cross-functional collaboration.  

TEAM STRUCTURE 

EDUCATION & EXPERIENCE

Required:

• Bachelor’s or Master’s in Computer Science, Data Science, Business Analytics, or related field. MBA is a plus
• 12+ years in data management, analytics, or engineering roles, with 5+ years in leadership
• Proven track record in scaling data infrastructure and delivering enterprise-wide data initiatives
• Expertise in data governance frameworks (e.g., DAMA, DCAM) and compliance standards
• Proficiency in SQL, Python, Spark, and modern data stack tools
• Hands-on experience with cloud platforms (Alicloud, AWS, Azure) and big data technologies
• Strong stakeholder management and ability to influence C-suite executives.  
• Exceptional communication skills to translate technical concepts into business value.  
• Familiarity with AI/ML model lifecycle management and MLOps.  

Marriott International is an equal opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any other basis covered under applicable law.