Senior Manager, Data & Analytics, APEC (6 Months Contract)
Singapore Regional OfficePOSITION SUMMARY
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.
Operating as a senior individual contributor reporting to the Director, Data Strategy, the role partners closely with business leaders, analytics teams, and technology stakeholders to design pragmatic data roadmaps, operating models, and governance frameworks. The role provides thought and executional leadership on data platforms, metrics, and analytics capabilities, while balancing long-term strategic direction with near-term delivery. Success in this role requires the ability to influence without direct authority, communicate complex concepts clearly, and drive adoption of data-driven ways of working across the organisation.
The role engages in a variety of tasks that bridge business objectives with technical execution daily – these include meeting with business leaders and analytics teams to gather requirements and prioritize data initiatives, designing data roadmaps to align with strategic goals, and developing or optimizing data workflows. The role also involves overseeing the progress of analytics and reporting projects, ensuring alignment with business priorities and timely delivery. Additionally, the Senior Manager collaborates with technology and external vendors to implement robust data pipelines, maintain data governance standards, and support the integration of data from diverse sources. Other regular activities involve the auditing of data products for quality, coordinating with cross-functional teams, and communicating complex data concepts in a clear, actionable manner to drive adoption of data-driven practices across the organization.
CANDIDATE PROFILE
Education & Experience
- 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
Skills and Knowledge
- 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.
CORE WORK ACTIVITIES
1. 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.
2. 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.
3. 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.
4. 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.
MANAGEMENT COMPETENCIES
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Building Relationships |
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Generating Talent and Organizational Capability |
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Learning and Applying Professional Expertise |
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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.