Want to get hired at Billennium?
IT System Owner GenAI Product
Billennium
Original Job Summary
Overview
Billennium is seeking an experienced IT System Owner GenAI Product to lead the lifecycle of a cutting-edge AI solution. In this role, you will take full accountability for a Generative AI product, driving innovation, operational excellence, and alignment across business and technology stakeholders.
What You’ll Do
System & Delivery Ownership: Own the entire system lifecycle including architecture, scalability, operations, and performance. Lead as IT Owner / Agile Team Leader within an Agile Release Train, collaborating with Scrum Masters and development teams. Define release strategies, oversee SDLC, and ensure secure production deployments.
Stakeholder & Communication Management: Act as the single point of contact for all system-related topics. Collaborate with business stakeholders, project managers, and cloud vendors, preferably on Azure. Drive transparent communication regarding system updates, changes, and escalation handling.
Compliance & Risk Control: Ensure GxP/CSV compliance where relevant. Monitor system status, assess risks, and maintain an audit-ready operational state.
What You Bring
- Proven leadership in managing AI/ML or GenAI-driven products.
- Experience in cloud-based environments (Azure preferred) and SaaS integrations.
- Understanding of DevOps/MLOps practices, SDLC, and operational excellence.
- Familiarity with AI data pipelines, vector search, and prompting techniques.
- Ability to lead teams, drive delivery, and optimize AI workflows.
- Experience with compliance frameworks and security best practices in regulated environments.
Key Skills/Competency
- System Lifecycle
- Architecture
- Agile Leadership
- Compliance
- Stakeholder Management
- DevOps/MLOps
- Cloud (Azure)
- AI Pipelines
- Operational Excellence
- Risk Management
How to Get Hired at Billennium
🎯 Tips for Getting Hired
- Research Billennium's culture: Study their mission and recent updates.
- Customize your resume: Highlight AI system and agile leadership skills.
- Emphasize cloud expertise: Detail experience with Azure and SaaS.
- Prepare for technical questions: Focus on system architecture and compliance.
- Practice behavioral responses: Demonstrate leadership and communication skills.