Vice President of Data Science

Client Summary: AI-powered technology enhancing collaboration between healthcare providers and payers Enables real-time transparency for improved decision-making Utilizes objective data to align medical necessity assessments with greater accuracy Drives efficiency and better healthcare outcomes through advanced analytics Proprietary platform applies predictive analytics to assess patient care levels in real time Streamlines operations across the healthcare ecosystem Position Responsibilities: Refine, shape and implement a strategic vision for data science across the organization, aligning with business objectives and goals. Design and execute the development of advanced predictive machine learning models, generative AI solutions, and other AI-driven projects. Collaborate cross-functionally with executives, product, engineering and other business units to identify and execute high-impact opportunities that align with our company's product strategy. Lead and mentor a multidisciplinary team of data scientists, analysts, and clinical subject matter experts to drive innovation and excellence. Monitor industry trends and emerging technologies to keep the organization at the forefront of data science and AI innovation. Establish and maintain data governance and responsible AI practices to ensure compliance and build stakeholder trust. Partner with engineering teams to ensure robust data pipelines, architecture, and infrastructure to support data science projects with emphasis on automation and scalability. Represent the organization in public forums, conferences, and industry events, showcasing leadership in data science and innovation. Exceptional leadership and communication skills, with experience managing cross-functional projects. Passion for developing talent and fostering innovation. Experience & Skills: Required Experience and Qualifications: Education: Advanced Degree in Computer Science, Engineering or related field Experience: 15+ years of experience, including 5+ years in senior leadership roles. Other: Track record of successfully developing and deploying production-scale AI systems in healthcare SaaS, or similar industry. Demonstrated ability to manage complex cross-functional projects, fostering collaboration and driving measurable outcomes. Extensive experience with Python and leading machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch). Proficiency in natural language processing (NLP) and working with pre-trained large language models (LLMs). Experience with cloud computing platforms, particularly AWS (e.g., S3, EC2, Lambda). Expertise in handling large-scale unstructured datasets and leveraging modern data pipelines and frameworks. Strong business acumen and the ability to translate technical insights into strategic actions. Strong commitment to responsible AI principles, particularly in healthcare applications. Compensation: $170k-$250k, Health Insurance, 401k, Paid Vacation #J-18808-Ljbffr

Created: 2025-03-01