Top Tech Jobs & Startup Jobs

Leads complex cross-functional engineering, automation, manufacturing, pharmaceutical, and technology initiatives. Responsibilities include managing scope, dependencies, risks, governance, milestones, KPIs, executive reporting, and issue resolution. The role facilitates Agile, Lean, and continuous improvement practices; coordinates teams and vendors; supports automation, robotics, facility expansion, systems implementation, and operational improvements; and uses analytics to identify bottlenecks and resource constraints.

Leads enterprise Network Detection and Response architecture, deployment, optimization, and threat detection engineering across hybrid cloud and on-premises environments. Analyzes packet captures, network flows, protocols, and encrypted telemetry to identify advanced threats and lateral movement. Integrates NDR with SIEM, SOAR, and EDR platforms to automate response and improve detection and response times. Partners with threat intelligence, hunting, and incident response teams, conducts security architecture reviews, and mentors security engineers.

Leads AI innovation and adoption across a healthcare advisory practice. Develops and deploys predictive models, generative AI, machine learning, and analytics solutions for value-based care and payment challenges. Oversees data readiness, governance, responsible AI reviews, model monitoring, stakeholder adoption, and client delivery. Translates complex analytics into executive-ready insights, dashboards, and presentations while building reusable assets, training teams, and driving enterprise AI strategy.

Leads the strategy, development, and delivery of AI, machine learning, and generative AI solutions across healthcare domains. Responsibilities include designing scalable software, integrating LLMs and agentic AI, maintaining code quality and production operations, collaborating with stakeholders, mentoring engineers, and leading AI/ML teams. The role requires expertise in modern ML frameworks, cloud platforms, DevOps, CI/CD, NLP, model evaluation, prompt engineering, and production-grade AI applications.

Leads healthcare analytics service delivery across Medicare, Medicaid, and Commercial programs. Designs analytic models, dashboards, reports, and predictive solutions; translates complex data into client-ready insights; guides data governance and management practices; and promotes AI, machine learning, generative AI, and automation to improve reporting efficiency. Partners with clients, analysts, developers, subject matter experts, and AI teams to analyze claims, enrollment, provider, and member data and support value-based payment initiatives.

The Account Executive executes sales strategies to grow market share for home health services. Responsibilities include developing referral-source relationships, managing and documenting sales activities, understanding customer needs, securing referrals, and educating medical and community stakeholders about services. The role requires strong presentation, negotiation, relationship-building, communication, organization, and computer skills, along with reliable transportation. Home health sales experience and knowledge of coverage issues are preferred.

Leads design, development, testing, deployment, and maintenance of cloud-native enterprise applications and APIs. Builds Java and Python backend services, React-based front ends, microservices, CI/CD pipelines, and Azure infrastructure. Develops agentic AI and RAG solutions, supports AI lifecycle operations, and ensures secure, scalable, high-quality delivery. Provides technical leadership, mentorship, architecture guidance, production troubleshooting, and continuous improvement across Agile teams.

Analyze healthcare risk adjustment and health plan data across Medicare, Medicaid, and ACA Commercial programs. Build and maintain reliable data solutions using SQL, Python, ETL processes, databases, Tableau, Power BI, and Excel. Investigate application, data, system, and workflow issues, identify root causes, recommend corrective actions, and collaborate with technical teams to resolve problems.

Manage incentive-system data intake, processing, reporting, output, archival, and quality assurance. Investigate discrepancies, perform root-cause analysis, improve process flows, automate recurring activities, support system troubleshooting, and maintain data integrity. Collaborate with stakeholders, handle data-processing inquiries, document procedures, and apply SQL and Python to analysis and automation. Varicent experience is optional.

Provides administrative and operational support to leadership, including calendar and meeting management, travel and expense coordination, confidential information handling, meeting materials, event logistics, office communications, documentation, budgets, and distribution lists. The role requires strong organization, discretion, multitasking, Microsoft Office proficiency, and the ability to work independently in a fast-paced corporate environment with a primarily office-based schedule and limited remote work.