Senior Manager, Data & Analytics, APEC (6 Months Contract)

POSITION SUMMARY

The Senior Manager Data Strategy APEC is accountable for shaping and driving the organisations 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

• Bachelors 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 specializedanalytics 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

Marriott International is an equal opportunity believe in hiring a diverse workforce and sustaining an inclusive people-first are committed to non-discrimination onanyprotectedbasis such as disability and veteran status or any other basis covered under applicable law.