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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.