Director, Analytics and Insights

Singtel; Singapore; On-site; Confidential; Full time

Benefits offered by this job

Full suite of health and wellness benefits

Ongoing training and development programs

Internal mobility opportunities

Job summary

Singtel is seeking a Director, Analytics & Insights in Singapore to oversee the Consumer Group analytics, business intelligence, and insights function. This role is crucial for enabling data-driven decision-making and driving commercial growth.

The ideal candidate will have 12-15+ years in analytics, with proven leadership capabilities, and a strong understanding of advanced analytics and AI. Competitive benefits include a full suite of health and wellness programs.

Qualifications

• 12–15+ years of experience in analytics or business intelligence.
• Strong track record of delivering measurable business outcomes.
• Ability to balance innovation with operational execution.

Responsibilities

• Develop and lead analytics strategy aligned to corporate priorities.
• Drive data-driven transformation across commercial and customer domains.
• Partner with leaders to identify growth opportunities.

Skills

Leadership in analytics

Data-driven strategy

Advanced analytics

AI and automation

Data governance

Education

Degree in Business, Analytics, Data Science, Computer Science, Economics or Engineering

Tools

SQL

Python

R

Tableau

Power BI

Job description

Overview

Director, Analytics & Insights oversees the Consumer Group analytics, business intelligence, and insights function to enable data-driven decision-making, commercial growth, customer experience enhancement, and operational optimization across the organization. The role shapes and executes the enterprise analytics strategy, advances AI and data capabilities and embeds a culture of evidence-based decision making across business functions. Works closely with senior business and technology stakeholders to translate complex data into actionable strategies that support business transformation and long-term competitive advantage.

Key Responsibilities

• Develop and lead the Consumer analytics and insights strategy aligned to corporate and business priorities – Analytics initiatives deliver measurable business impact and support strategic decision-making.
• Drive data-driven transformation across commercial, customer, operational, and digital domains – Increased adoption of analytics and evidence-based decision-making across the organization.
• Partner with senior business leaders to identify growth opportunities, customer insights, and operational improvements – Improved revenue growth, customer retention, customer experience, and operational efficiency.
• Lead and develop high-performing analytics and BI teams – Strong analytics capability, talent retention, and succession pipeline Establish analytics governance, standards, and best practices across the enterprise – Improved data quality, consistency, compliance, and governance maturity.
• Drive enterprise KPI management, executive reporting, and performance insights – Timely, accurate, and actionable management reporting for executive decision-making.
• Collaborate with technology and data teams to modernize analytics platforms and data infrastructure – Scalable, reliable, and future-ready analytics ecosystem supporting business growth.
• Manage analytics investment priorities, budgets, and resource allocation (Consumer Data Squad).
• Champion innovation in analytics, AI, automation, and customer intelligence capabilities.

Qualifications & Skills

• Degree in Business, Analytics, Data Science, Computer Science, Economics or Engineering.
• 12–15+ years of experience in analytics, business intelligence, data science, or insights functions, preferably within telecommunications, technology, or large consumer-facing organizations.
• Proven leadership experience managing large, cross-functional analytics or data teams.
• Strong track record of delivering measurable business outcomes through analytics and data-driven strategies.
• Strong understanding of advanced analytics, predictive modelling, AI/ML, and data visualization techniques.
• Proficiency in analytics and BI tools such as SQL, Python, R, Tableau, Power BI, or similar platforms.
• Strong understanding of data governance, privacy, cybersecurity, and regulatory requirements.
• Proven ability to lead organizational change and drive analytics adoption.
• Ability to balance innovation with operational execution and governance requirements.

Benefits

• Full suite of health and wellness benefits
• Ongoing training and development programs
• Internal mobility opportunities