Manulife Operations Supervisor, Hybrid Philippines
Manulife
Lead insurance operations at Manulife, overseeing service levels, workflows, audits, and team performance. This hybrid position supports teams in Quezon City or Lapu-Lapu City.
Ochish
Nokia telekommunikatsiyalar, korporativ tarmoqlar va raqamli infratuzilmaga e’tibor qaratadigan global B2B texnologiya kompaniyasidir. Kompaniya xizmat ko‘rsatuvchi provayderlar, bizneslar va davlat sektori tashkilotlariga odamlar, mashinalar va qurilmalarni keng miqyosda ulashga yordam beradigan xavfsiz hamda barqaror tarmoq yechimlarini ishlab chiqadi. Uning faoliyati Nokia Bell Labs orqali olib boriladigan tadqiqotlar va uzoq muddatli texnologik ishlanmalar bilan bir qatorda 5G, sun’iy intellekt va kvant xavfsiz tarmoqlarni ham qamrab oladi. Nokia’dagi ish imkoniyatlarini izlayotgan nomzodlar tarmoq muhandisligi, telekommunikatsiyalar, korporativ texnologiyalar, infratuzilma va ilg‘or tadqiqotlar bilan bog‘liq yo‘nalishlarda imkoniyatlar topishlari mumkin.
Nokia Senior Program Manager, PIC Data Engineering — Remote Nevada
Lead Nokia’s governed lakehouse, warehouse, and pipeline engineering for photonic integrated circuit operations. Build AI-ready data foundations that support analytics and connectivity innovation.
Tavsif
- Own the architecture and hands-on delivery of scalable cloud lakehouses and data warehouses for PIC operations
- Use Databricks, AWS, or comparable platforms to meet Nokia’s operational data requirements
- Shape, optimize, and evolve enterprise data models and semantic layers
- Build and maintain reliable batch and real-time pipelines with ETL/ELT and streaming technologies
- Define data quality frameworks, monitoring, and observability practices
- Deliver CI/CD pipelines and advance DataOps practices
- Lead data governance across cataloging, lineage, metadata, and access controls
- Establish security protocols and role-based access management
- Create governed, AI-ready data foundations for self-service analytics, AI-assisted discovery, and advanced analysis
- Provide business, engineering, and analytics teams with secure access to trusted enterprise data
- Develop infrastructure for AI, automation, machine learning, and advanced analytics programs
- Mentor product engineers, set technical direction, and promote strong engineering practices
- Promote data quality, accountability, self-service adoption, and continuous improvement
Talablar
- 15+ years of progressive experience in data engineering, data architecture, or a related discipline
- Demonstrated success delivering solutions for wafer and chip fabrication processes
- Bachelor’s degree
- At least five years leading, developing, and motivating technical teams
- Advanced SQL skills and deep experience with modern cloud data platforms and distributed processing frameworks
- Practical experience with Databricks, Redshift, or BigQuery
- Background building governed data platforms and products for self-service analytics, AI-assisted analytics, machine learning, and advanced analytical workloads
- Databricks lakehouse architecture, Unity Catalog, Genie, and Genie Code experience is strongly preferred
- Strong command of enterprise and dimensional data modeling and semantic layer design
- Experience with data orchestration and sophisticated pipeline automation
- Ability to architect scalable, secure, governed, and dependable enterprise data solutions
- Excellent communication and interpersonal skills
- Proven ability to collaborate across business, engineering, analytics, and technology teams
Imtiyozlar
- Company-supported laptop ordering
- Remote work arrangement
O‘xshash ish o‘rinlari
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