Top Tech Jobs & Startup Jobs

Leads enterprise Data, AI, and digital transformation solution architecture and client pursuits. Designs scalable cloud, data, analytics, AI/ML, GenAI, and Agentic AI architectures; leads workshops, RFP responses, executive presentations, commercial closure, account expansion, and transition into delivery. Partners with engineering and delivery teams, mentors architects, and develops transformation roadmaps, business cases, accelerators, and industry thought leadership, particularly for Insurance and Financial Services clients.

Build, deploy, and support secure, scalable full-stack healthcare payment applications. Own front-end, service, backend, analytics, data pipelines, CI/CD, cloud deployment, observability, performance optimization, production incidents, and compliance. Collaborate with product, data, DevOps, QA, business, and client teams to deliver reliable features and platforms across hybrid cloud and on-premise environments.

Leads new-logo sales for data management, analytics, AI, and cloud services across a U.S. territory. Responsibilities include pipeline development, alliance-driven go-to-market initiatives, complex opportunity qualification, sales presentations, proposal and oral preparation, solution positioning, and executive client engagement. The role shapes data and AI pursuits, supports market offering development, builds account plans, and mentors others while traveling up to 70%.

Develop, deploy, test, and support secure enterprise web applications and healthcare reporting solutions. Responsibilities include full-stack design and development, production issue resolution, SQL and report performance tuning, SSRS and SSIS integration, architecture, testing, deployment, data governance, security, and collaboration with business and technical teams. The role also contributes to scalable solution design, project delivery, mentoring, and understanding payer and provider healthcare analytics.

Own end-to-end analytics delivery for a client POD, translating business priorities into workplans, coordinating cross-functional teams, governing delivery and revenue KPIs, and managing risks through resolution. Perform hands-on data profiling, validation, reconciliation, exploratory analysis, automation, and quality reviews using SQL, Python, Databricks, and Excel. Create executive-ready KPI, revenue, and business-impact narratives, prioritize initiatives, support business cases, and identify opportunities for analytics automation and AI-enabled improvements.

Leads account management for insurance and digital services, overseeing client relationships, product delivery, team performance, and client satisfaction. Develops growth strategies, identifies new business opportunities, implements account management processes, and aligns internal teams with client needs. Monitors market trends, uses analytics for decision-making, mentors account managers, and represents the company at industry events.

Develop and remediate Java backend applications for Oracle database and JDBC driver upgrades. Responsibilities include updating code, dependencies, configurations, and connection settings; troubleshooting connectivity, SQL, transactions, performance, and compatibility issues; conducting testing; validating REST APIs; supporting deployments and production stabilization; and coordinating with DBA, DevOps, QA, infrastructure, security, application, and client teams.

Leads the account management function for insurance solutions by managing account managers, developing retention and growth strategies, nurturing key client relationships, coordinating tailored solutions with consulting teams, monitoring client feedback, ensuring service quality, conducting performance reviews, generating new business, and representing the company at industry events and client meetings.

Build and operationalize scalable cloud data pipelines and infrastructure, primarily on GCP. Responsibilities include ETL/ELT development, complex data integration, data architecture, process automation, analytics tooling, performance optimization, CI/CD support, and collaboration with engineers, data scientists, product managers, and business stakeholders. The role focuses on healthcare and clinical data, including data platforms, operational systems, and infrastructure supporting business insights.

Leads insurance-focused data and AI consulting engagements, advising senior stakeholders on transformation roadmaps, operating models, and scalable solutions. Owns client discovery, proposals, RFP responses, solution design, project delivery, team management, and growth opportunities. Provides technical guidance across analytics, AI, automation, DataOps, cloud platforms, governance, and data architecture while driving process improvement, innovation, and knowledge development.