Manager, Data and Insights

Responsibilities:
Data Analysis, Reporting & Management- Consolidate and process large datasets from multiple sources (e.g. internships, student placements, events and career programmes), ensuring data integrity and accuracy.- Lead the development and implementation of new data collection methods and tools to enhance the effectiveness of CAO’s initiatives.- Build and maintain data infrastructure, including data pipelines, aggregated datasets, reports and dashboards, to track key metrics for data-driven projects (e.g. MOE Graduate Employment Survey, Biennial Industry Survey).- Propose and implement long-term solutions to improve reporting systems, dashboards, and visualisations that track key metrics such as internship participation, event participation and employer engagement.- Provide analytical support by answering to data queries and generating comprehensive reports for stakeholders, addressing discrepancies and ensuring timely and accurate reporting.- Develop and implement data quality assurance processes, including validation rules, reconciliation checks, and anomaly detection, to ensure data accuracy and consistency across systems.- Conduct benchmarking studies and market trend analyses to inform strategic planning, ensuring CAO initiatives are aligned with industry standards and evolving employer needs.

Stakeholder Engagement & Collaboration- Drive and support changes towards a student-centric, data-driven culture within the organisation by reviewing and evaluating the effectiveness of outcomes.- Provides training and support to improve data literacy across teams.- Work closely with cross-functional teams and HOD to analyse complex datasets and translate analytical findings into business-friendly insights for non-technical stakeholders to implement new processes and systems.- Build strong collaborative relationships with stakeholders to understand business and data needs, identify trends, patterns and actionable insights through data storytelling and visualisation to support business decisions.- Identify, engage and work with vendors and external partners to meet project goals and deliverables while ensuring data consistency and integrity.

Governance, Regulatory & Compliance Awareness- Establish data governance framework within the organisation through strong understanding of data governance principles and industry best practices.- Maintain adherence to data security, privacy, and protection regulations (e.g., PDPA, GDPR) with sound knowledge of data protection laws and regulatory requirements.- Control and manage the full data lifecycle, including data classification, retention, and secure disposal.- Advocate and drive ethical data usage by establishing internal guidelines. Plan and direct audits to ensure compliance with both internal policies and external regulatory standards.

Process Optimisation- Lead the review, streamlining, and optimisation of end-to-end data processes to enhance operational efficiency, reduce manual effort, and support scalability across CAO initiatives.- Establish and maintain standardised processes and documentation for data handling, reporting, and dashboard development to ensure consistency, traceability, and sustainability of data operations.

Leadership & Team Management- Provide supervision to associates or student assistants, ensuring effective task delegation, capability development, and alignment with team objectives.- Foster a collaborative environment within and beyond the team, implement feedback loops to promote the effective sharing of insights and alignment with CAO’s mission to improve student career outcomes.

Job Requirements:
- Degree in Business Analytics, Statistics, Computer Science, Information Systems, or a related field.- Relevant certifications in data analytics, business intelligence, or automation tools are advantageous.- Minimum 8 years of relevant experience in a related field, including data management and analysis. Experience in career services or learning and development within the education sector is a bonus.- Proficiency with data visualisation tools (Tableau/Power BI/Qlik Sense); exposure to SQL and Python is a plus.- Advanced Microsoft Excel skills (e.g. formulas, pivot tables, charts).- Familiar with data warehousing, ETL processes, and data integration tools- Strong ability to analyse and synthesise data from both quantitative and qualitative sources.- Exposure to or knowledge of AI tools for data analytics is advantageous.- A collaborative team player who is eager to learn, experiment, and contribute to the team-wide data and insight culture.- Confident and comfortable in engaging with various business end users and stakeholders at all levels.- Able to thrive in a fast-paced, dynamic environment to work independently and collaboratively as part of a team.- Meticulous, proactive and a self-starter who can initiate new ideas through research to improve data analysis and support CAO’s strategic plans.- Strong critical thinking, probl