Top Tech Jobs & Startup Jobs

Leads technology consulting engagements for banking and capital markets clients. Designs data modernization, digital transformation, and fintech solutions; develops technical proposals; manages client relationships, account growth, and multimillion-dollar engagements. Oversees cross-functional delivery teams, mentors staff, provides technical and strategic consulting, and contributes to thought leadership. Requires deep expertise in data engineering, ETL, streaming, cloud platforms, big data, and enterprise data management.

Drive new data and AI sales engagements across Insurance and Healthcare. Responsibilities include pipeline development, client workshops, solution demonstrations, executive presentations, RFP/RFI responses, proposal and SOW development, pricing solutioning, industry-specific use-case creation, and positioning cloud data modernization, AI/GenAI, and governance solutions. The role collaborates closely with delivery, industry, marketing, and sales teams and requires frequent travel to key client markets.

Leads wealth management growth within strategic banking accounts by developing executive relationships, identifying opportunities, expanding client footprint, and shaping consulting and transformation solutions involving data, analytics, AI, and operations. The role requires a strong Wealth Management network, consultative selling expertise, executive presence, and the ability to convert business priorities into revenue opportunities.

Provides consulting services to insurance and reinsurance clients by managing engagements, assessing operational issues, analyzing business problems, developing strategic recommendations, and coordinating solution requirements. Builds client relationships, monitors risks and outcomes, conducts industry research, and communicates findings through Excel, PowerPoint, Tableau, and Power BI. The role requires travel to workplaces across the United States, with telecommuting permitted.

Manages analytics projects, coordinates subteams and offshore resources, reviews data analysis and project outputs, and presents recommendations to clients and management. Performs data extraction, ETL, warehousing, statistical analysis, machine learning, visualization, model development, validation, and performance tuning using SAS, R, SQL, and related tools.

Leads enterprise LifePRO, TPA, digital platform, and AI-enabled transformation programs from planning through deployment, stabilization, and adoption. Oversees architecture, engineering, integrations, data migration, testing, release, and production governance while aligning diverse applications to a unified strategy. Engages executive clients, manages risks and escalations, builds global delivery teams, and drives AI adoption, modernization, operational excellence, and permanent defect reduction across complex insurance ecosystems.

Leads consumer credit risk analytics and reporting transformation for a banking client. Analyzes portfolio performance, delinquency and loss trends, risk appetite, acquisition quality, line management, and mitigation strategies. Manages automation of risk reporting with data engineering partners, validates outputs, authors risk narratives, guides program roadmaps, and engages senior client stakeholders.

Enterprise new-logo hunter selling F&A BPO, transformation, and analytics to CFOs, Controllers, VPs and CPOs. Own full sales cycle: build pipeline, shape transformation narratives, close $3M+ ACV multi-year deals, negotiate contracts, and transition to delivery. Represent EXL at finance forums and develop advisor/consultant relationships. Remote US role with travel up to 40%.

Develop and maintain Adobe Experience Manager components, templates, workflows, authoring tools, and integrations across Sites, Assets, and Forms. Ensure platform performance, stability, security, localization, multilingual support, and multi-site management. Troubleshoot issues, support international rollouts, collaborate with DevOps on deployments, contribute to architecture and coding standards, and provide technical guidance to junior developers and partners.

Designs and supports scalable cloud-native enterprise applications using Python, microservices, distributed systems, GCP, Kubernetes, Docker, CI/CD, Kafka, and cloud data platforms. Provides technical leadership, architecture guidance, code reviews, mentoring, production troubleshooting, and reliability improvements. Develops and operationalizes Generative AI solutions, including LLM applications, RAG, AI agents, prompt engineering, and integrations with Vertex AI, Gemini, OpenAI, or Claude. Collaborates with technical and business stakeholders to deliver innovative solutions and drive engineering standards.