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Senior Manager, Data & Analytics, APEC

https://www.marriott.com Logo

Marriott Bonvoy

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Location:
Singapore

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Category:
IT - Administration

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

The Senior Manager, Data Strategy, APEC is accountable for shaping and driving the organisation’s data strategy to support strategic decision-making, operational performance, and long-term growth. This role sits at the intersection of business strategy, analytics, and technology, translating commercial objectives into a clear and actionable data vision. The role is responsible for defining how data is used as a strategic asset, ensuring that data investments are aligned with business priorities and deliver measurable value across commercial, operational, and customer-facing functions.

Job Responsibility:

  • Shaping and driving the organisation’s data strategy to support strategic decision-making, operational performance, and long-term growth
  • Translating commercial objectives into a clear and actionable data vision
  • Defining how data is used as a strategic asset
  • Ensuring data investments are aligned with business priorities and deliver measurable value across commercial, operational, and customer-facing functions
  • Partnering closely with business leaders, analytics teams, and technology stakeholders to design pragmatic data roadmaps, operating models, and governance frameworks
  • Providing thought and executional leadership on data platforms, metrics, and analytics capabilities
  • Balancing long-term strategic direction with near-term delivery
  • Meeting with business leaders and analytics teams to gather requirements and prioritize data initiatives
  • Designing data roadmaps to align with strategic goals
  • Developing or optimizing data workflows
  • Overseeing the progress of analytics and reporting projects
  • Ensuring alignment with business priorities and timely delivery
  • Collaborating with technology and external vendors to implement robust data pipelines
  • Maintaining data governance standards
  • Supporting the integration of data from diverse sources
  • Auditing of data products for quality
  • Coordinating with cross-functional teams
  • Communicating complex data concepts in a clear, actionable manner to drive adoption of data-driven practices across the organization
  • Data Engineering & Infrastructure: Oversee the design, development, and maintenance of scalable data pipelines and ETL processes
  • Ensure data quality, integrity, and security across multiple sources and platforms
  • Collaborate with IT and data teams to optimize data architecture for analytics and reporting needs
  • Governance & Best Practices: Implement and enforce data governance policies and standards
  • Drive continuous improvement in analytics operations through process optimization and adoption of best practices
  • Stay updated on emerging technologies and trends in data engineering and analytics
  • Project Management: Manage analytics projects end-to-end, including requirements gathering, planning, execution, and delivery
  • Act as the primary liaison between internal stakeholders and external consultants/vendors to ensure alignment on scope, timelines, and deliverables
  • Monitor project progress, mitigate risks, and resolve issues to ensure successful outcomes
  • Vendor & Stakeholder Management: Coordinate with third-party vendors for specialized analytics solutions, tools, and services
  • Negotiate terms/scope of work and ensure compliance with organizational standards
  • Communicate effectively with business leaders to translate business needs to project work scopes.

Requirements:

  • Bachelor’s degree from an accredited university in Business Administration, Computer Science/Information Systems, or a quantitative discipline (finance, operations research, economics, mathematics, statistics, etc.)
  • Minimum 7 - 8 years of relevant professional experience demonstrating clear technical competency, progressive career growth and a pattern of exceptional performance
  • Preferred: Working industrial experience in Travel & Hospitality, F&B or Retail with demonstrated technical capabilities
  • Demonstrate fluency and strength of expertise in: Programming languages (Python, etc.)
  • Business intelligence tools (Tableau, Power BI)
  • Data warehousing (Snowflake, Bigquery, SQL Server, etc.)
  • Cloud computing (AWS, Azure, GCP)
  • Familiarity with UI/UX principles for dashboard and reporting design and an understanding of AI Operations (AIOps)
  • Demonstrates a strong analytical ability, with knowledge of financial analysis, quantitative analysis, statistical tools, economic concepts and predictive modeling
  • Strong relationship and project management skills with the ability to independently manage multiple projects (data specifications, deadlines, and project requirements)
  • Excellent command of the English language
  • with interpersonal, written and oral communication skills and the expertise of developing corporate communication for senior leadership
  • Ability to work both as a team member and a team leader to achieve results in a teamwork environment
  • Strong organizational and time management skills and proven ability to handle multi-task assignments
  • Strong passion and aptitude for the hospitality industry, with interests in the practical application of quantitative methods to support business strategy.

Nice to have:

  • Working industrial experience in Travel & Hospitality, F&B or Retail with demonstrated technical capabilities
  • Familiarity with UI/UX principles for dashboard and reporting design and an understanding of AI Operations (AIOps)
  • Strong passion and aptitude for the hospitality industry, with interests in the practical application of quantitative methods to support business strategy.

Additional Information:

Job Posted:
March 19, 2026

Employment Type:
Fulltime
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