Sr. Manager, NLP Engineering

As the Senior Manager of Natural Language Processing (NLP)at IMO Health, you will lead a team at the forefront of our business roadmap, driving the development and integration of cutting-edge NLP and GenAI solutions. With your deep technical expertise and leadership, you will shape the strategic vision for NLP at IMO Health, balancing hands-on guidance with high-level architectural direction. Your role will be pivotal in fostering team growth, optimizing system performance, and ensuring our NLP capabilities meet evolving market demands.

• Product Development & Innovation: Define and execute a strategic vision for NLP and GenAI at IMO, leveraging advanced machine learning techniques, including Large Language Models (LLMs), to enhance product capabilities and deliver customer value. 
• Operational Efficiency & Scalability: Lead the development of distributed, high-performance NLP systems that scale to meet the demands of complex healthcare data environments. 
• Customer-Centric Solutions & Market Leadership: Collaborate with Product Management, Terminology Solutions, and Enterprise Architecture teams to embed NLP and GenAI innovations into IMO's products, ensuring we stay ahead of industry trends. 

• Build and expand the NLP R&D and Engineering teams, fostering a culture of innovation, collaboration, and technical excellence.  
• Define and execute a strategic vision for NLP and GenAI applications across internal and external IMO products.  
• Mentor and coach a diverse team of NLP scientists and engineers, guiding their professional growth through structured feedback and career development initiatives.  
• Provide hands-on leadership in system architecture, scalability, and process improvements.  
• Drive cross-functional collaboration with key stakeholders to identify opportunities for NLP-driven advancements.  
• Establish clear performance expectations, track key objectives and results (OKRs), and implement best practices for Agile development.  
• Apply state-of-the-art NLP techniques—LLMs, AI agents, semantic analysis, predictive modeling, and more—to solve real-world healthcare challenges.  
• Ensure the successful deployment of AI models in production, adhering to best practices in MLOps, cloud computing, and data engineering. 
• Promote a culture of continuous learning, staying ahead of advancements in NLP, AI, and healthcare technology. 

• Master’s degree in Computer Science, Machine Learning, AI, Statistics, or a related field.  

• 10+ years of experience in Natural Language Processing & AI.  

• 5+ years of leadership experience managing NLP or data science teams.  

• 5+ years in the Healthcare or Life Sciences domain.  

• Proven experience applying LLMs (e.g., GPT-4, Llama 3) and machine learning algorithms to NLP problems.  

• Strong expertise in distributed/scalable system development and high-volume transaction applications.  

• Proficiency in MLOps and cloud platforms (AWS, Azure), including Lambda, SageMaker, and infrastructure-as-code for LLM deployments.  

• Experience managing global teams and fostering high-performance engineering cultures.  

• Exceptional communication and stakeholder management skills, with a track record of driving cross-functional collaboration.