Top Remote Jobs

Performs data analysis, quality validation, and BI development across ECRI’s MDM, content, and enterprise data platforms. Supports Semarchy MDM operations, ETL scripting, data stewardship, integration troubleshooting, Contentful analytics, Power BI reporting, DAX modeling, BigQuery validation, SQL data models, and automated testing. Collaborates with stakeholders on governance, migrations, reporting, and analytical datasets while improving data processes and documentation.

Lead organic social strategy and execution for Nutrafol and Nutrafol Men, developing platform-native content, managing community and creators, partnering cross-functionally on campaigns, optimizing performance through analytics, and managing budgets and production to drive brand awareness and business impact.

Supports on-time delivery of parametric 3D CAD models and engineering drawings for virtual tire development, performance analysis, and mold tooling. Develops equation- and logic-driven PTC Creo models, collaborates with cross-functional teams to analyze and predict tire tread performance using in-house tools and FEA software, and helps improve modeling best practices. The role includes structured training, mentorship, and opportunities to develop advanced Creo expertise.

Manage a defined book of business by improving retention, reducing churn, identifying expansion opportunities, and closing upsell and cross-sell deals. Build executive-level client relationships, monitor customer health and adoption, mitigate renewal risks, and contribute to revenue growth through consultative account management.

Leads enterprise demand planning and Integrated Business Planning across AIS, aligning market demand, financial commitments, supply, inventory, and execution. Establishes planning governance, forecasting standards, scenario analysis, and executive decision support. Drives planning transformation through analytics, automation, artificial intelligence, and digital tools while improving forecast accuracy, working capital, customer outcomes, and profitability. Partners across Commercial, Finance, Operations, Product Management, Manufacturing, Fulfillment, and Supply Chain, and leads a global team with responsibility for organizational development and capability building.

Designs and maintains cloud infrastructure for game development and live-service games. Builds infrastructure-as-code, CI/CD pipelines, monitoring, security practices, and development environment automation. Responds to live support issues, debugs development problems, and supports multiple teams with reliable deployment workflows. The role requires hybrid work from the Saratoga Springs, New York office.

Leads and mentors design managers and designers while setting strategic vision, advancing design practices, and driving execution excellence. The role partners with product, engineering, and organizational leaders; frames research initiatives; shapes holistic user experiences; communicates strategy through storytelling; manages talent, hiring, headcount planning, and budgets; and promotes continuous improvement, employee engagement, accountability, and client-focused organizational culture.

Lead and coach a team of 3–5 engineers while contributing hands-on to system design, code reviews, development, deployment, and maintenance. Partner with Product and UX to deliver end-to-end features, including AI-powered capabilities. Shape technical direction, improve engineering practices, communicate complex problems clearly, and measure product value for physicians and patients.

Owns month-end close, reconciliations, journal entries, invoicing, revenue validation, and account accuracy. Supports FP&A activities including forecasting, budgeting, variance analysis, operational reporting, dashboards, and monthly business reviews. Partners with Accounting, Finance, Client Services, and management to maintain consistent financial data, improve reporting processes, and strengthen business insights.

Leads enterprise AI and machine learning strategy, designs and scales production systems, translates business challenges into measurable AI outcomes, establishes governance and technical standards, and mentors data science and machine learning teams. Responsibilities span model training, evaluation, deployment, monitoring, lifecycle management, and collaboration with business and technology leaders.