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
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