Team Lead Engineering Terminology Management Platform — Roche

Full description

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The Position

Team Lead Engineering Terminology Management Platform

Job description

As a senior global engineering leader, you will sit at the intersection of AI innovation and enterprise scale, building and leading high-performing engineering teams that are defining the future of AI-ready data infrastructure. You will empower your teams to own their career journeys while fostering an ambitious culture of technical excellence, psychological safety, and rapid experimentation. By pairing servant leadership with strong executive presence, you will remove organizational silos, align complex stakeholder networks, and build a world-class engineering capability capable of delivering next-generation semantic and contextual AI platforms at a global scale.

Description of the area

The Data Platforms function is paving the way for a context-aware enterprise where AI doesn't just read data-it understands it. We are building the backbone for AI for Data and Data for AI, unlocking domain context across the entire value chain.

This role oversees 3 critical, high-impact enterprise platforms:

• Terminology Service: Enabling scientific breakthroughs by unifying terminology, domain ontologies, and multi-modal knowledge graph layers for target discovery and early innovation.
• Enterprise Core Semantic Layer: Orchestrating unified business logic, metadata, and enterprise knowledge graphs to power context-aware LLMs, AI agents, and trusted self-service analytics across global operations.
• Globally Unique Identifiers: Connecting complex operational systems into an intelligent knowledge network to optimize supply chain resilience, commercial execution, and predictive financial modeling.

By replacing fragmented data silos with intelligent context layers, semantic platforms, and dynamic knowledge graphs, this leader will establish the foundation for enterprise-wide autonomous agentic workflows and true AI readiness.

Job responsibilities

• Team Member Capability and Career Development
• Proactively identifies and develops future-focused engineering team capabilities, aligning with long-term strategic goals.
• Mentors team members on long-term career paths, creating new opportunities and roles within the organization to support their growth.
• Addresses and helps resolve complex, systemic roadblocks that impact multiple development teams, and coaches other managers on effective performance management.
• Oversees the technical and soft skill development, ensuring a balanced and high-performing talent portfolio.
• Team Health and Sustainability
• Establishes and monitors metrics for team health and sustainability across several development teams, implementing strategies to ensure long-term balance.
• Designs and implements initiatives to improve collaboration and psychological safety across multiple related development teams or a whole product area.
• Proactively identifies and resolves systemic impediments that affect multiple development teams, improving the overall work environment.
• Manages the talent composition for own and related teams, planning for future needs and ensuring a healthy pipeline of skills.
• Product and Service Delivery Leadership
• Co-creates the multi-year architecture vision and technology strategy for our 3 core contextual platforms, partnering closely with AI, R&D, Clinical, Commercial, DIA, Manufacturing, Group Processes, and Enterprise Product Leaders.
• Architect of "Data for AI & AI for Data": orchestrates dependencies across complex pla