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The Manager, Analytics Operations, RM Ops, APEC role will partner the Innovation vertical within the team and play a hands-on role in delivering data engineering and analytics/reporting projects that drive business insights and operational efficiency. This position focuses on managing the end-to-end lifecycle of analytics initiatives—from gathering requirements and designing data workflows to coordinating with external consultants/vendors for specialized solutions. The candidate will ensure projects are delivered on time, within scope, and aligned with business priorities. Familiarity and exposure to UI/UX principles and a strong understanding of cloud computing & AIOps will be beneficial for the candidate to effectively auditing of end products. In addition, the candidate in this role will collaborate with the Director, Data Strategy in designing and implementing robust data pipelines, developing and optimizing ETL workflows, and ensuring data accuracy, consistency, and security across multiple systems. Responsibilities include integrating data from diverse sources, managing data transformations for analytics and reporting, and collaborating on data architecture improvements to support scalability and performance.
Job Responsibility:
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
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
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
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.)
Min 5-7 years of relevant professional experience demonstrating progressive career growth and a pattern of exceptional performance
Preferred: Working industrial experience in Travel & Hospitality, F&B or Retail
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.