Program Manager, PIC Data Engineering

At Nokia, we are shaping the future of connectivity and innovation. We are seeking a visionary and experienced Program Manager, PIC Data Engineering, to lead the development of our next-generation data platforms, driving strategic insights and enabling AI-powered solutions across our global enterprise for photonic integrated circuit (PICs) technology. This role is critical in building the robust, secure, and scalable data foundations that underpin Nokia's digital transformation and technological leadership. Extensive Experience: 15+ years of progressive experience in data engineering, data architecture, or related fields, with a proven track record of delivering impactful solutions in wafer and chip fabrication process. Education: Bachelor's degree. Master's degree preferred. Leadership Acumen: 5+ years of experience leading, developing, and inspiring technical teams, fostering a collaborative and high-achieving environment. Technical Mastery: Deep expertise in SQL, modern cloud data platforms, and distributed data processing frameworks. Cloud Data Platform Proficiency: Hands-on experience with leading cloud data platforms such as Databricks, Redshift, or BigQuery. Governed Data Platforms: Demonstrated experience in building governed data platforms and data products that effectively support self-service analytics, AI-assisted analytics, machine learning, and advanced analytical workloads. Databricks Ecosystem (Preferred): Experience with Databricks capabilities, including lakehouse architecture, Unity Catalog, and AI-assisted analytics features like Genie and Genie Code, is highly preferred. Data Modeling Expertise: Strong understanding of enterprise data modeling principles, including dimensional modeling and semantic layers. Orchestration & Automation: Experience with data orchestration tools and advanced data pipeline automation techniques. Scalability & Reliability: Proven ability to design and implement scalable, secure, governed, and reliable enterprise data solutions. Collaborative Communication: Exceptional communication and interpersonal skills, with a proven ability to partner cross-functionally with business, engineering, analytics, and technology teams to drive shared success.