Top Tech Jobs & Startup Jobs

Senior insurance domain expert to lead transformation across underwriting, claims, policy administration and operations. Responsibilities include current-state assessments, process redesign, requirements gathering, stakeholder workshops, building business cases, and enabling AI/analytics (ontology, semantic models, BI) to deliver measurable outcomes.

The Senior Data Modeler is responsible for designing and managing data models, ensuring data accuracy, compliance, and alignment with business needs.

The Client Partner will lead client relationships, drive strategic transformation in the Telco and Media domain, and leverage analytics expertise to deliver value outcomes while fostering growth in client engagements.

Lead supply chain analytics engagements: manage client teams, design data-driven solutions for demand forecasting, inventory and network optimization, drive key initiatives to closure, and provide thought leadership in supply chain analytics.

Client-facing GenAI Engineer/Architect responsible for discovering, designing, and delivering scalable GenAI solutions for healthcare and medtech. Run workshops, translate needs into requirements and architecture, implement LLM-based systems (RAG, vector search, document AI/OCR), ensure PHI/PII governance and compliance, evaluate models, and support pilot-to-scale transitions in Agile teams.

Lead client-facing growth for CPG accounts by driving account strategy, sales and margin targets, positioning Fractal AI/data solutions, managing senior stakeholder relationships, leading pursuits and pre-sales initiatives, and collaborating with cross-functional teams to deliver measurable AI-driven business impact.

Lead Forward Deployed Engineer to design, build, and deploy production-grade enterprise AI solutions using Cogentiq. Responsibilities include integration with enterprise systems, creating connectors/APIs/SDKs, architecting cloud-native microservices, troubleshooting production deployments, and feeding deployment learnings back into the platform. Works closely with customers and cross-functional teams to translate requirements into reusable platform capabilities.

The Engagement Manager will lead analytics and AI-driven programs, manage client relationships, build high-performing teams, and innovate solutions using decision science and data science.

Partner with enterprise customers to design, build, and deploy production-grade AI applications using the Cogentiq platform. Develop integrations, connectors, APIs, and cloud-native backend services; ensure security, scalability, and reliability. Troubleshoot deployments, optimize performance, run technical workshops, and feed deployment learnings back into platform capabilities alongside AI, platform, and product teams.

The Business Analyst acts as a liaison between business teams and technical teams, analyzing data to provide actionable insights and drive performance improvement initiatives.