Top Tech Jobs & Startup Jobs

Analyze healthcare cost, utilization, market, and profitability data using actuarial methods, statistical models, and visualizations. Develop analyses and recommendations for new products, provider payment structures, healthcare delivery mechanisms, financial performance, and cost-benefit decisions. Collaborate with clinical, technical, and business stakeholders while participating in a rotational actuarial leadership development program and progressing toward an FSA designation.

The Data Scientist will analyze complex healthcare datasets, build Python-based reporting pipelines, clean and validate data, and create tables, visualizations, and PowerPoint presentations. They will identify cost and utilization drivers, answer account questions, improve client-facing analytics, and collaborate with underwriting, medical management, sales, finance, and other business partners. The role requires translating complex analyses into actionable insights while managing multiple projects and deadlines.

Executes compensation and benefits analytics, job evaluations, market benchmarking, survey management, predictive modeling, workflow automation, HRIS administration, and dashboard creation. The role provides actionable total rewards insights to HR leadership, HR business partners, and Talent Acquisition while supporting merit cycles, bonus allocations, benefits enrollment, data integrity, and labor-cost forecasting.

Manage the end-to-end development, maintenance, and implementation of account agreements and amendments. Ensure contract language complies with operational requirements and health insurance laws, coordinating with Legal, Underwriting, Contracts Delivery, leadership, and analysts. Lead cross-functional projects, assign tasks, manage timelines and milestones, support product and corporate initiatives, and oversee agreement renewals and implementations. The role requires strong communication, analytical, problem-solving, consultative, and supervisory or project leadership skills.

Lead AI engineering teams developing scalable agentic AI solutions. Responsibilities include technical leadership, architecture and implementation of AI agents, Generative AI and RAG integrations, production model reliability, code quality, delivery planning, troubleshooting, mentoring, and evaluating new technologies. The role requires machine learning experience with TensorFlow, PyTorch, and scikit-learn, cloud and MLOps expertise, and strong collaboration skills.

Leads end-to-end, high-visibility payment integrity projects, from planning and budgeting through implementation and post-launch analysis. Coordinates cross-functional teams across IT, Claims, Analytics, and Provider Relations; manages risks, dependencies, deliverables, timelines, and stakeholder communications. Tracks project KPIs and reports outcomes to senior leadership. The role requires healthcare claims or payment integrity experience, strong project management expertise, and the ability to deliver complex initiatives within schedule and budget.

Supports institutional investment portfolio management across more than $7 billion in assets. Responsibilities include performance and attribution analysis, portfolio monitoring, trade execution, asset allocation research, manager evaluation, risk management, reporting, financial modeling, stress testing, compliance tracking, and Investment Committee materials. The role also manages relationships with investment managers, consultants, and custodians while improving data automation and workflow efficiency using financial systems and AI tools.

Designs and implements architecture for AI agents within the Bluefield framework. The role develops technical blueprints, optimizes Google Agent Space and Google Cloud services, creates reusable agentic components, integrates agents with enterprise systems and APIs, leads prototypes, troubleshoots complex issues, documents architectures, conducts technical reviews, mentors Generative AI Engineers, and presents technical work internally and externally.

The AI Product Owner guides AI engineering teams, ensuring technical excellence, mentoring engineers, overseeing solution design, and driving timely delivery of high-quality AI products.

Supports the strategy, development, implementation, and ongoing management of healthcare products, especially HSAs, FSAs, and other funding solutions. Leads cross-functional initiatives, gathers requirements, tracks KPIs, supports business cases and financial analysis, ensures regulatory alignment, and serves as a product expert for Sales, brokers, and account teams. Monitors market feedback and product performance while identifying enhancement opportunities and coordinating with vendors and internal stakeholders.