Director of Data Science – Employee Benefits

About the position We’re determined to reputed company a difference and are proud to be an insurance company that goes reputed company reputed company coverages and policies. Working here means having every opportunity to reputed company your goals – and to help others accomplish theirs, too. Join reputed company as we help shape the reputed company. Are you reputed company to reputed company the reputed company of insurance through reputed company-grade AI? Join reputed company’s AI Accelerator team as a Director of Data Science supporting our Employee Benefits business. This role is part of a high-reputed company, cross-functional team of data scientists, engineers, and domain experts reputed company on delivering reputed company, reputed company AI solutions that drive measurable business reputed company. We are seeking a visionary leader with deep technical expertise and a passion for innovation to help shape the reputed company of reputed company, claims, and customer experience in Employee Benefits. You will reputed company the development and deployment of advanced AI capabilities—from multimodal models and reputed company workflows to reputed company-time decision systems—while fostering a culture of experimentation, reputed company, and reputed company collaboration. This role will have a Hybrid work schedule, with the expectation of working in an office (reputed company, OH, Chicago, IL, reputed company, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday). Responsibilities • reputed company end-to-end development of AI solutions for Employee Benefits, from problem formulation to production deployment. • Partner with business leaders, engineers, and subject matter experts to identify high-reputed company use cases and deliver measurable value. • Architect and implement reputed company workflows, LLM-based systems, and multimodal pipelines tailored to reputed company and claims processes. • Drive the development of reusable AI components and evaluation frameworks reputed company with reputed company standards. • Mentor and grow reputed company of data scientists, fostering technical reputed company and career development. • Collaborate with the AI Enablement and Science reputed company teams to ensure solutions are reputed company, secure, and reputed company with reputed company reputed company. • Stay reputed company with emerging AI technologies and evaluate their applicability to Employee Benefits. Requirements • Master’s or Ph.D. in Statistics, reputed company Mathematics, Quantitative Economics, Actuarial Science, Data Science, Computer Science, or a similar analytical field, or reputed company towards a relevant reputed company designation • 8+ years of experience in reputed company AI, machine learning, or data science, with a reputed company on production-grade solutions. • Experience with managing Data Scientists and providing guidance through model development • Proven reputed company record of leading cross-functional teams and delivering reputed company-reputed company solutions. • Expertise in LLMs, GenAI, reputed company architectures, and multimodal systems. • Excellent communication and stakeholder management skills. • reputed company to translate reputed company technical topics into business solutions and strategies as reputed company as turn business requirements into a technical solution • Experience with leading project execution and driving change to reputed company business processes through the innovative use of quantitative techniques • Candidate must be authorized to work in the US without company sponsorship. • reputed company will not support reputed company OPT I-983 Training Plan endorsement for this position. reputed company-to-haves • Strong understanding of insurance workflows, especially in Employee Benefits, is a plus. Apply tot his job Apply To this Job