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uMobile

Section Head, Data Analytics – Enterprise Segment

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  • Posted 5 hours ago
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Job Description

Life at U Mobile

We are Passionate, Innovative, Trustworthy, Team-Oriented & Fun-Loving.

At U Mobile, we are always on the lookout for great talents and passionate individuals to join our growing team.

Let's start your journey with an award-winning organization!

#UnbeatableCareerAwaits

Top Reasons To Join Us!

  • Awarded For
  • Most Preferred Employers in Telecommunication Industry (2022, 2023 & 2024)
  • Bronze Winner in Cross-Generational Workforce Engagement (2024)
  • Gold Winner for Excellence in Workplace Culture (2021)
  • Comprehensive medical, dental, optical and insurance benefits
  • Flexi working hours arrangements
  • Staff Line & Device Subsidy
  • Smart Casual Attire
  • Child Parental Care Leave
  • Convenient location with access to public transport (Imbi Monorail/Bukit Bintang MRT)
  • Special employee discounts for selected F&B Brands

Job Summary

This role provides leadership in shaping the enterprise analytics vision, governance framework, and transformation agenda while partnering closely with senior business leaders to translate complex data into actionable business strategies. The incumbent will oversee the development of scalable analytics capabilities, champion digital and data innovation initiatives, and build a high-performing analytics organization that supports sustainable business growth and competitive advantage.

The Day-to-Day Activities

  • Strategic Leadership & Business Partnership
  • Lead and drive the overall Enterprise analytics strategy, ensuring alignment with corporate objectives, revenue growth targets, and customer experience priorities.
  • Act as a trusted advisor and strategic partner to Enterprise senior leadership by providing data-driven insights, market intelligence, and strategic recommendations to support business planning and decision-making.
  • Lead, mentor, and develop a high-performing analytics and business intelligence team, fostering a culture of innovation, collaboration, accountability, and continuous improvement.
  • Partner closely with Sales, Product, Marketing, Operations, Finance, and Digital teams to identify business opportunities, optimize performance, and accelerate enterprise growth initiatives.
  • Drive enterprise-wide adoption of analytics capabilities and cultivate a strong data-driven culture across the organization.
  • Lead strategic analytics initiatives related to customer acquisition, retention, revenue optimization, pricing, segmentation, and operational efficiency.
  • Data Strategy, Infrastructure & Governance
  • Establish and oversee enterprise-grade data infrastructure, analytics platforms, and business intelligence frameworks to support scalable and advanced analytics capabilities.
  • Define and implement robust data governance, quality management, compliance, and security standards to ensure integrity, reliability, and ethical use of enterprise data assets.
  • Collaborate with Technology, IT, and Digital teams to strengthen data architecture, integration, automation, and modernization initiatives.
  • Drive continuous enhancement of data management practices, including data modelling, metadata management, performance monitoring, and data lifecycle governance.
  • Evaluate and introduce emerging analytics technologies, AI/ML capabilities, and automation opportunities to enhance business performance and decision-making efficiency.
  • Business Insights & Performance Optimization
  • Lead the development and deployment of enterprise dashboards, KPI frameworks, predictive models, and executive reporting tools to monitor business performance and support strategic planning.
  • Deliver actionable insights and strategic recommendations on key business areas including revenue growth, customer behavior, churn management, sales effectiveness, and operational performance.
  • Drive advanced analytics initiatives, including predictive and prescriptive analytics, to identify risks, opportunities, and business improvement areas proactively.
  • Champion data storytelling and visualization best practices to effectively communicate complex analytical findings to senior management and executive stakeholders.
  • Monitor industry trends, competitive benchmarks, and market developments to provide strategic insights that strengthen the organization's market positioning.

About You

  • Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Business Analytics, Economics, or a related discipline. A Master's Degree or MBA would be an added advantage.
  • Minimum 12–15 years of progressive experience in data analytics, business intelligence, data science, or strategic analytics roles, with at least 5 years in a senior leadership or management capacity.
  • Proven leadership experience in building and managing high-performing analytics teams within telecommunications, enterprise B2B, technology, or large-scale digital organizations.
  • Strong commercial acumen with demonstrated ability to translate analytics into measurable business outcomes and strategic value creation.
  • Strong technical expertise in SQL, Python, data visualization platforms (e.g., Power BI, Tableau), and analytics tools/frameworks.
  • Solid understanding of enterprise data architecture, cloud analytics environments, data governance, AI/ML concepts, and digital transformation initiatives.
  • Excellent strategic thinking, analytical, problem-solving, presentation, and stakeholder management skills.
  • Strong executive presence with the ability to influence and engage senior leadership and cross-functional stakeholders effectively.
  • Agile, resilient, and highly adaptable in navigating complex and fast-paced business environments.
  • Strong communication and interpersonal skills with the ability to simplify complex technical concepts into clear business narratives

What's Next Once you have applied online, our team will review your application and due to a high volume of applications, only shortlisted candidates will be notified.

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Job ID: 146990621

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