Lead, Data Portfolio

At Singtel, we believe in the strength of a vibrant, diverse and inclusive workforce where backgrounds, perspectives and life experiences of our people help us innovate and create strong connections with our customers. We strive to ensure all our people practices are non-discriminatory and provide a fair, performance-based work culture that is diverse, inclusive and collaborative. Join us and experience what it’s like to be with an Employer of Choice.* Together, let’s create a brighter digital future for all. *Awarded at the HR Fest Awards 2020. Singtel Networks, the most established telecommunications infrastructure provider in Singapore is transforming to enable the digital generation of tomorrow. We are introducing new capabilities in 5G, Cloud, Analytics, Digital Commerce, Software Engineering, Cyber Security to enhance our core competencies and deliver innovative and differentiated Mobile and Fixed services (Broadband, TV and Telephony) for our customers. We are committed to celebrating inclusion and diversity and is a strong believer to upskill and nurture all individuals. Come join us today as we build Singtel’s Networks of tomorrow, and Empower Every Generation to live, work and play in new ways Make an Impact by: Data Portfolio Strategy & Governance Lead the development and execution of the data strategy for Autonomous Networks, aligned with use case needs across fault prediction, change management, RCA and resolution. Define data architecture principles, standards and data quality frameworks for curated, real-time and raw network data. Ensure compliance with data governance, lineage tracking and lifecycle policies, working with DPE and Data Governance function. Data Portfolio Leadership Define and maintain the strategic data blueprint for AN use cases, aligning with the overall Autonomous Network architecture and roadmap. Develop and maintain canonical data models for network-centric domains, including topology, fault, performance, inventory, alarms and configuration. Lead data discovery initiatives by engaging with domain leads (e.g., RAN, IP, Core) to identify data sources, availability, gaps and potential for use case enablement. Translate network insights and domain logic into actionable data models and pipeline requirements for AI and automation. Own the design of curated data layers, metadata cataloging and lineage for network data, ensuring high-quality ingestion and processing aligned with Networks and business needs. Enablement of AI & Automation Use Cases Translate network automation objectives into concrete data requirements, including telemetry, logs, alarms, performance counters, topology and tickets. Partner with AIDA and DPE to enable low-code and pro-code AI/ML pipelines, ensuring correct feature sets and observability. Oversee the delivery of robust, scalable, and reusable data pipelines, collaborating with AN portfolio and insights managers, AIDA and DPE teams. Collaborate with DPE to ensure appropriate data exposure via APIs, dashboards and automation orchestration platforms. Lead initiatives to improve data readiness and usability for experimentation, training, validation and inference in AN solutions. Collaboration & Influence Act as a key liaison between network domain teams and data/AI stakeholders. Facilitate alignment of priorities and execution plans. Influence platform design, backlog prioritisation and resource allocation across Domains, AIDA and DPE. Represent the AN data function in architectural governance, leadership forums and executive updates. Skills for Success Degree in Telecommunication or Computing Engineering or equivalent with an accredited institution. Professional certifications in cloud platforms (e.g., AWS, GCP, Azure), big data or data architecture are an advantage. 10+ years of experience in telecom or network domain, with strong expertise in data engineering and analytics infrastructure. 5+ years in telecommunications, with at least 3 years in network architecture, AI/ML or data platforms. Strong understanding of TM Forum AN framework, AI agent orchestration and AI/ML system design. Experience in Network architecture design, SW development process, project planning, technical support or project management of Telecom Systems, AI and Data systems. Proficiency in SQL, Python, data modeling, streaming (Kafka), orchestration (Airflow) and feature engineering. Strong understanding of data architectures for ML pipelines and experience working with data scientists or AI teams. Rewards that Go Beyond Full suite of health and wellness benefits Ongoing training and development programs Internal mobility opportunities Are you ready to say hello to BIG Possibilities? Take the leap with Singtel to unlock new opportunities and accelerate your growth. Apply now and start your empowering career #J-18808-Ljbffr