Analytics Data Products Team lead

Nokia; Ottawa; On-site; CAD 120,000 - 160,000; Full time

Job summary

A leading company in telecommunications seeks an Analytics Data Products Team lead to drive the design and development of innovative AI and SaaS solutions. The role involves architectural leadership, platform development, and stakeholder engagement, requiring extensive experience in data architecture and telecom expertise. Join a passionate team dedicated to creating impactful products and services in the telecom industry.

Qualifications

• 8+ years of experience in data platform architecture, AI/ML systems, or enterprise software.
• Telecom domain expertise with understanding of industry-specific requirements.
• Experience building and deploying AI-centric products and SaaS platforms.

Responsibilities

• Design and evolve the architecture of the AI Studio platform.
• Lead the integration of data onboarding processes and establish governance policies.
• Architect a hybrid platform supporting on-premise and cloud-based environments.

Skills

Data platform architecture

AI/ML systems

Cloud platforms

Data governance

MLOps frameworks

Data lakehouse technologies

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, or related fields

Job description

Are you a driven engineer who thrives on applying research to real-world solutions? Do you enjoy the challenge of translating theoretical findings into tangible products and services? If so, we invite you to join our team as an Analytics Data Products Team lead. In this role, you will conduct targeted research to directly impact the specification, design, development, and improvement of our products, services, systems, tools, and processes. You will integrate, verify, test, and modify software, hardware, and system components, leveraging innovative solutions to meet specific requirements and specifications. We encourage you to apply and join our team of passionate engineers who are making a difference.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, or related fields. 8+ years of experience in data platform architecture, AI/ML systems, or enterprise software.
• Expertise in cloud platforms (e.g., AWS, Azure, GCP) and hybrid compute architectures.
• Telecom domain expertise, with a strong understanding of industry-specific requirements and challenges.
• Experience building and deploying AI-centric products and SaaS platforms.
• Proficiency in MLOps frameworks and deploying LLMs in production environments.
• Expertise in data governance, lineage, and quality management frameworks.
• Hands-on experience with data lakehouse technologies (e.g., Delta Lake, Apache Iceberg).

Responsibilities

• Architectural Leadership: Design and evolve the end-to-end architecture of the AI Studio platform, ensuring it supports Nokia’s vision for next-generation AI and SaaS products. Provide technical guidance and mentorship to engineering teams, ensuring robust, scalable, and future-ready implementations.
• Platform Development: Lead the integration of dynamic data onboarding processes and establish a semantic layer with business terms exposed to the data catalog. Oversee the implementation of data governance policies, ensuring compliance with regulatory and business requirements.
• Data Infrastructure & Management: Architect a hybrid platform that supports both on-premise and cloud-based compute environments. Implement and manage efficient compute pipelines for real-time and batch processing, supporting MLOps pipelines and LLM data flows. Drive the use of data lakehouse architecture for scalable, large-scale analytics.
• Data Store & Mesh Capability: Abstract the implementation of diverse data stores to enable seamless data source swapping. Design and integrate data mesh capabilities, ensuring datasets in the catalog can be combined for broader use cases.
• Hands-on Collaboration & Stakeholder Engagement: Work closely with product management to align the platform’s technical vision with market needs and evolving SaaS offerings. Engage directly with customers to gather feedback and ensure the platform solves key pain points in the telecom industry and beyond.
• Continuous Delivery & Operations: Ensure the platform is fully continuous delivery (CD) ready, enabling smooth updates and deployments. Maintain a clear separation between metadata and content to ensure modularity and flexibility.
• Telco Industry Expertise & Innovation: Apply deep telecom domain expertise to design solutions tailored to industry-specific requirements and emerging opportunities. Stay updated with the latest trends in AI, MLOps, SaaS, and cloud technologies to integrate innovations into the platform.