AD, Data & AI Platform Enablement
Singapore, Singapore
Singtel
The Singtel Group, Asia's leading communications group provides a diverse range of services including fixed, mobile, data, internet, TV, infocomms technology (ICT) and digital solutions.An empowering career at Singtel begins with a Hello. Our purpose, to Empower Every Generation, connects people to the possibilities they need to excel. Every "hello" at Singtel opens doors to new initiatives, growth, and BIG possibilities that takes your career to new heights. So, when you say hello to us, you are really empowered to say…“Hello BIG Possibilities”.
Be a Part of Something BIG!
This position plays a pivotal technical role in AI & Data Analytics (AIDA) who is responsible for leading a cross-functional team of platform, data, and operations engineers to deliver a secure, scalable, and cost-efficient hybrid cloud AI infrastructure.
The role will have to work closely with architects and AI engineering teams to build a robust platform that supports a wide range of AI use cases across multiple business units.
You will collaborate with data source and platform teams from both Networks and IT to design and implement integrated data solutions that empower users to efficiently develop and scale AI applications.
Make An Impact By
- Lead, manage and grow a cross functional team consisting of platform engineers, data engineers, DataOps, DevSecOps engineers, FinOps, operations and delivery managers, ensuring the successful delivery and sustainable AI platform.
- Foster innovative, agile and user focused team culture to accelerate delivery of AI and advance analytics use cases
- Coordinate workload within team and integration efforts with various departments across Singtel SG
- Evaluate Singtel existing and latest tools available in market to build best-in-class telco data and AI tech stack
- Plan unified data layer to enable availability of cross-domain data sources in single location for AI use
- Design integration architecture to existing and upcoming systems across Singtel Singapore
- Deliver and implement hybrid cloud AIDA platform
- Monitor platform performance, availability and utilization to ensure stability
- Operate and maintain data and AI platform to maximize availability and platform
- Manage implementation timeline to meet use case delivery targets
- Integrate data sources across Singtel SG efficiently to allow effective cross-domain AI and data use cases
- Responsible for data quality monitoring, cataloguing, CII & PII data and sensitivity classification for AIDA
- Set-up and operate AIDA’s DevSecOps platform for efficient, traceable development and deployment
- Constantly update and upgrade pipelines and security policies to align with latest libraries and cybersecurity recommendations
- Implement solutions to continuously optimize compute resource and data transfer cost
- Manage platform and cloud cost (FinOps) for cost effective AI operations
Skills for Success:
- Bachelor’s degree in computing, engineering or relevant fields
- 5+ years experience in design, implementation and operation of hybrid cloud data engineering platform
- 1-2 years of team leadership or delivery management experience
- Capable of designing hybrid cloud data and AI system
- Experience in operation of hybrid cloud data and AI systems
- Proficient in data ingestion and integration development (Spark, Kafka, Hadoop, Azure Storage, etc.)
- Experience in workload optimization and FinOps to minimize computing cost
- Good knowledge of DevSecOps processes and tools
- Demonstrated good project management skills in implementation of data/system projects
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!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Azure Classification Data Analytics DataOps Data quality Engineering Excel Hadoop Kafka ML infrastructure Pipelines Security Spark
Perks/benefits: Career development Health care Wellness
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