Senior Manager Data Operations

The Senior Manager, Data Operations is a member of the Strategy, Business Intelligence, and Data Operations team and an integral part of Marriott’s Customer organization.  This position will be a technical and subject matter expert in data related to Marriott’s Customer data.  This is an individual contributor role that entails hands-on data analysis & engineering skills to build and manage cross-domain data products supporting attribution analytics, reporting and machine learning needs.  The Senior Manager will also interact with strategic partners on data integration & provide technical support to large-scale Marriott reporting and operational projects; implement system and business process changes to improve data quality; and support departmental initiatives in the areas of data governance, data management, and analytics. The Senior Manager will also be responsible for contributing to the development of our cloud data platform by setting requirements and consulting on future platform initiatives.

We are looking for a driven individual with strong consulting skills, a SQL programming background to manage robust data pipelines and experience with cloud computing & modern data warehousing environments. This hybrid technical management role will include collaborating with business disciplines, IT and external 3rd parties to bring in new data engineering technologies, build and manage data processing frameworks, and help deploy analytics reports & models to production. 

CANDIDATE PROFILE 

Education and Experience Required

4-year degree from an accredited university in Data Analytics, Computer Science, Engineering, Information Systems or similar quantitative discipline required (MS or MBA preferred) and five or more years of progressive experience in data management, analytics, data warehousing, or data science OR Two or more years of progressive experience in data management, analytics, data warehousing, or data science and a master’s degree 

• Strong background in SQL for data analysis and new dataset development
• Outcome driven product mindset to architect technical solutions for complex business problems
• Technical Skills
  • Cloud Data Warehouse (Snowflake - preferred, Big Query/Redshift & traditional data warehouses considered)
  • Cloud Data Platform (AWS - preferred, Azure/GCP/Hadoop also considered)
  • Data Analysis/Programming languages (SQL, Python)

Education and Experience Preferred

• MS or MBA

CORE WORK ACTIVITIES 

Demonstrating and Applying Discipline Knowledge 

• Manage data product development using Snowflake SQL including:
  • Hands-on design of data products in Snowflake for enabling reporting and analytics
  • Develop & automate data engineering jobs using stored procedures & task schedulers
• Identify new ways of engineering existing data or acquiring new data sources to grow program operational data capabilities
• Act as a bridge between IT and analytics teams facilitating data shares in a timely and accurate manner
• Collaborate with peers and Director, Data Strategy & Management to develop systems and technologies that promotes automation & monitoring
• Act as a trusted subject matter expert & partner with analytics teams to make recommendations on data usage
• Perform user acceptance testing and build quality assurance plans for new data products

Managing Responsibilities with Stakeholders

• Develop and maintain effective relationships with both internal and external stakeholders across the organization.  Fosters a positive climate to build effective teams that are committed to organizational goals and initiatives.
• Update stakeholders on key initiative wins and opportunities, responds to concerns, and solicits feedback.  Engages leadership to develop and execute action plans to address gaps.

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.