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. IMPACT YOU'LL MAKE:

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. WHAT YOU'LL DO:

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. WHAT YOU'LL NEED:

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.

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