Top Tech Jobs & Startup Jobs

Administer and optimize PostgreSQL, Oracle, and MySQL across on-prem and multi-cloud (Azure, AWS, GCP). Manage installs, upgrades, migrations, patching, security, backup/recovery, DR, and capacity planning. Monitor and resolve incidents, provide production support and on-call coverage. Drive cloud modernization, automation, IaC, and operational excellence with cross-functional teams while maintaining documentation and communicating risks to stakeholders.

Owns delivery and operational health of enterprise GRC platforms, including RSA Archer, Aravo, and Compliance Hub. Translates risk, compliance, and audit requirements into backlogs, user stories, functional requirements, and acceptance criteria. Partners with engineering, stakeholders, and vendors on Agile delivery, platform configuration, integrations, defect resolution, audit readiness, and release execution. Tracks platform KPIs and improves workflow standardization, evidence automation, data quality, and user experience.

Provides application and data support by troubleshooting user issues, monitoring system health, conducting root cause analysis, supporting testing and releases, documenting resolutions, and coordinating incident response. The role uses SQL, data modeling, healthcare data expertise, and quality routines to validate imports and extracts. It also tracks support metrics, improves operational processes, communicates with stakeholders, and participates in on-call support while maintaining security, compliance, and audit standards.

Build and deploy enterprise agentic AI solutions, including agents, MCP tools, plugins, orchestration architectures, evaluation harnesses, and secure APIs. Integrate agents with search and collaboration platforms, instrument production behavior, manage cost and latency, and test against prompt injection and tool vulnerabilities. The role requires backend software engineering, production agent development, MCP experience, LLM evaluation, and AI coding assistant expertise, with preferred experience in managed runtimes, retrieval systems, and enterprise security.

Conduct model risk validations, governance, stress testing, back-testing, and effective challenge across the model lifecycle. Develop enterprise risk reports, dashboards, metrics, committee materials, and remediation tracking. Support ERM framework implementation, regulatory examinations, audits, risk trend analysis, issue management, and governance process improvements. Collaborate with model owners, management, and risk committees while using SQL, Python, Excel, PowerPoint, and approved AI tools to analyze data and improve workflows.

Analyzes risk and pricing for group life, disability, and supplemental health insurance products. Prepares financial models, evaluates renewals and new business proposals, develops pricing and plan design recommendations, conducts competitive and contractual analysis, and supports profitable sales growth. Serves as a subject matter expert, advises senior leaders and business partners, and mentors junior underwriters. The role also contributes to process improvement, underwriting governance, and training initiatives.

Provides senior technical leadership for investment, debt, and derivative accounting within Corporate Treasury. Responsibilities include multi-basis investment accounting, period-end close, reconciliations, GAAP and statutory reporting, NAIC compliance, asset-transfer and reinsurance transaction support, financial integration, control improvements, and automation. The role partners across Finance teams to resolve complex accounting issues and ensure accurate reporting across legal-entity, consolidated GAAP, statutory, and tax bases.

Lead development and deployment of an agentic AI/ML pipeline for identifying, prioritizing, and pricing high-cost healthcare claims. Responsibilities include model development, confidence scoring, HITL safety design, ML lifecycle management, monitoring, workflow automation, responsible AI, and enterprise-scale analytics using Databricks and Snowflake. The role also evaluates emerging AI technologies and supports regulatory-aware automation and healthcare data transformation.

Leads payer-focused AI consulting engagements from opportunity discovery through implementation. Builds executive relationships with health plans, identifies AI opportunities, leads proposals and negotiations, shapes scopes and commercial models, and oversees cross-functional delivery. Accountable for client satisfaction, delivery quality, revenue, margin, utilization, pipeline, and measurable business outcomes. Develops repeatable consulting offerings, promotes responsible AI practices, and coaches multidisciplinary teams.

Designs and leads end-to-end AI solutions for healthcare provider clients, redesigning clinical, revenue cycle, and administrative workflows. Advises stakeholders, prioritizes AI use cases, develops implementation specifications and business cases, supports deployments and system enhancements, and ensures responsible AI governance. The role also includes client workshops, executive presentations, training development, stakeholder communication, and evaluating emerging AI technologies.