Top Remote Jobs in Dayton, OH

Lead complex litigation, arbitrations, government investigations, regulatory inquiries, and enforcement matters in the United States and internationally. Provide risk-based legal advice, develop litigation strategies, manage government submissions and regulator interactions, and oversee outside counsel, experts, and service providers. Apply technology, analytics, and artificial intelligence to improve legal workflows and outcomes.

Serves as the subject matter expert for individual disability insurance product compliance and supports supplemental health products. Monitors and interprets federal and state regulations, assesses risks, performs compliance testing, develops policies and guidance, supports product filings, and advises cross-functional teams. The role also assists with audits and regulatory examinations, develops training materials, reviews customer-facing materials, and participates in industry activities.

Deploys and commissions digital solutions and hardware at customer sites, assesses IT environments, designs API and data integrations, configures networking and RFID infrastructure, and troubleshoots implementations. Partners with product and delivery teams on project scoping and timelines, provides customer training and hypercare support, documents procedures, resolves defects, and transitions solutions to support teams. The role is remote with 25–30% travel for site surveys, commissioning, and go-live activities.

Analyze systems-level engineering problems involving requirements, interfaces, data flows, tools, workflows, and integration. Support interoperability across digital engineering environments, including MBSE, PLM, requirements management, CAD, and technical data systems. Develop technical artifacts, conduct trade studies, engage customers and subject-matter experts, and drive ambiguous technical issues toward resolution. The role requires strong systems thinking, analytical ability, communication skills, and the capacity to learn unfamiliar engineering domains quickly.

Designs and integrates secure information systems, cloud, and defense architectures; leads federal NIST RMF and ATO processes; implements security controls; performs vulnerability, threat, and risk assessments; advises engineering and program teams; and manages continuous monitoring, compliance, audit, and patch-management activities.

Analyze and exploit infrared and OPIR sensor data, including SBIRS systems; develop sensor models and advanced processing algorithms in Python and MATLAB; investigate infrared phenomenology; design tests and experiments; troubleshoot data workflows and software logic; and support CONOPS, technical documentation, and technology transition efforts with government, industry, and research partners.

Designs and leads enterprise cybersecurity architecture across network, cloud, endpoint, identity, and data environments. Develops security strategies, governance frameworks, and controls; conducts risk assessments, vulnerability management, penetration testing, and incident response. Oversees security tool integration, regulatory compliance, third-party risk, and secure development practices. Provides technical leadership, mentoring, and cross-functional guidance to protect business-critical systems and minimize cyber risk.

Develop and transition advanced OPIR data-processing algorithms for infrared sensing and space-based missile warning systems. Responsibilities include evaluating processing pipelines, troubleshooting anomalies, supporting technical documentation and transition plans, and collaborating with government, intelligence, research, and industry partners. The role requires expertise in EO/IR signal processing, infrared phenomenology, OPIR data formats, Python development, and AI/ML applications.

Develop and maintain scientific Python pipelines for remote sensing and SDA: radiometric modeling, imaging/signal processing, ML-enabled detection and classification, orbital modeling (SGP4/TLE), and reproducible CI/CD-driven deployments in collaboration with astrodynamics and ML teams.

Manages corporate accounts to drive revenue growth, renewals, and new sales opportunities. Builds strategic customer relationships, conducts needs analyses, develops account plans, positions Elsevier’s portfolio, forecasts performance, and collaborates with marketing, product, and customer success teams. Requires consultative selling, strategic account planning, stakeholder management, and effective communication in a complex matrix environment.