Senior Manager, Applied AI

We are seeking a Senior Manager, Applied AI to provide technical and delivery leadership for a growing portfolio of artificial intelligence capabilities supporting internal business teams across our organization. Working at the intersection of AI strategy, product delivery and technical execution, this leader will translate business needs into practical, secure and scalable AI capabilities spanning generative AI, agentic AI, machine learning and intelligent workflows.

The role requires strong technical depth and hands-on engagement with AI architecture, engineering, data and platform decisions, while leading and developing a multidisciplinary team and providing end-to-end accountability across multiple AI initiatives. A key focus will be evolving AI delivery from individual solutions toward a scalable, reusable technical operating model.

What you'll do

• Lead a portfolio of applied AI initiatives from opportunity definition and prioritization through technical design, development, production deployment, adoption and continuous improvement.
• Provide technical and delivery leadership across generative AI, agentic AI, machine learning and intelligent automation.
• Lead, coach and develop multidisciplinary technical teams, including AI engineers and data scientists.
• Drive reusable enterprise AI capabilities, including platforms, components, services, APIs and architectural patterns.
• Lead the design and implementation of enterprise-grade AI solutions leveraging large language models, retrieval-augmented generation (RAG), AI agents, orchestration frameworks, machine learning and emerging technologies.
• Establish and continuously improve robust AI evaluation and operational practices.
• Embed governance and responsible AI practices throughout the AI solution lifecycle.
• Establish and evolve technical standards, reference architectures and development patterns for enterprise AI.
• Partner across Product, Digital, Data, Architecture, Security, Quality, Compliance and business teams.
• Provide technical oversight across the AI development lifecycle.

What you need

• Bachelor's degree with 8-10 years of experience in artificial intelligence, machine learning, data science, software engineering, computer science or a related technology field. Or Advanced degree plus 7 years of relevant experience.
• Demonstrated experience leading AI or machine learning teams and complex technology portfolios in an enterprise environment.
• Proven experience taking AI solutions from concept and experimentation through production deployment, adoption and ongoing operation at enterprise scale.
• Strong understanding of generative AI and large language model technologies, including RAG, agentic workflows, tool use, orchestration, grounding, model selection, prompt and context engineering, and production implementation patterns.
• Strong understanding of machine learning, data science and modern AI architecture.
• Experience with major cloud and AI platforms such as Azure, AWS or GCP.
• Working knowledge of Python and modern AI/ML development frameworks.
• Experience designing or operating at scale reusable AI platforms, services, APIs, data pipelines or shared technical capabilities.
• Experience operating within data governance, security, privacy, regulatory and/or responsible AI frameworks.
• Experience managing external technology partners, consultants or distributed delivery teams.
• Excellent communication and stakeholder-management skills.
• Life sciences or clinical research industry experience preferred.