Skip to main content
My Job Page
Globe Icon An icon representing a globe

Sr. Director, Data Technology

Shanghai Operations
Apply Now
Back to Search

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.

Marriott International is the world’s largest hotel company, with more brands, more hotels and more opportunities for associates to grow and succeed. Be where you can do your best work,​ begin your purpose, belong to an amazing global​ team, and become the best version of you.