**Additional Information** **Job Number** 25052360 **Job Category** Information Technology **Location** Shanghai Operations, 9/F Tower B One ITC, Shanghai, Shanghai, China, 200030VIEW ON MAP (https://www.google.com/maps?q=Shanghai%20Operations%2C%209/F%20Tower%20B%20One%20ITC%2C%20Shanghai%2C%20Shanghai%2C%20China%2C%20200030) **Schedule** Full Time **Located Remotely?** N **Position Type** Management **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.