Top Tech Jobs & Startup Jobs in NYC, NY

Designs, deploys, and secures AI agents for enterprise risk and security operations. The role manages AI governance, Microsoft security and compliance controls, data protection, DLP, insider risk, access controls, monitoring, incident response, and SIEM/XDR integrations. It also leads security architecture, automation, AI risk evaluation, cross-functional initiatives, and mentoring while supporting secure adoption of Microsoft Copilot and Azure AI platforms.

Investigates, evaluates, and resolves complex Employment Practices Liability claims. Determines coverage and claim valuations, recommends settlement strategies, develops litigation plans, oversees external counsel, drafts coverage letters, and collaborates with insureds, brokers, attorneys, and underwriting teams. The role also analyzes claim trends, supports risk assessments, maintains accurate claim records, and travels for mediations and trials.

Designs and governs secure, scalable enterprise AI architectures across generative AI, machine learning, automation, and agent-based solutions. Establishes reusable patterns, standards, guardrails, and governance while integrating AI with enterprise data, applications, APIs, and cloud platforms. Advises teams on responsible AI, MLOps, LLMOps, monitoring, resilience, cost, compliance, and lifecycle management. Evaluates emerging technologies, supports proofs of concept, oversees architecture across initiatives, and communicates technical decisions to business and technology stakeholders.

Owns enterprise-wide testing and quality management across development, QA, UAT, regression, release, and post-release validation. Defines test strategies, quality gates, environment and test data governance, automation standards, defect management, and release-readiness criteria. Coordinates multiple agile delivery teams and vendors, manages QA KPIs and SLAs, provides executive-level quality insights, and drives continuous improvement across regulated technology environments.

Provides operational, administrative, and analytical support for North American delegated claims governance and third-party service oversight. Responsibilities include maintaining TPA and vendor inventories, coordinating onboarding and review documentation, supporting due diligence and audits, tracking remediation actions, producing performance reports and scorecards, managing governance records and dashboards, and coordinating stakeholders across Claims, Compliance, Legal, QA, Underwriting Operations, and Vendor Management. The role emphasizes documentation, reporting, process coordination, and audit readiness rather than strategic vendor ownership.

Leads enterprise technology and AI strategy, portfolio prioritization, value realization, executive decision support, and adoption initiatives. Partners with business, technology, data, risk, finance, and transformation leaders to evaluate opportunities, risks, investments, and outcomes. Develops roadmaps, business cases, strategic recommendations, value frameworks, executive presentations, and change-enablement strategies while considering responsible AI, cybersecurity, privacy, data governance, resilience, and regulatory requirements.

Leads North American insights, analytics, and AI delivery for underwriting teams. Translates business priorities into data products and analytics solutions, drives measurable value and adoption, oversees AI-enabled transformation, partners with underwriting and enterprise Data & Analytics leadership, and develops high-performing teams. The role also promotes responsible AI governance, agile delivery, scalable solutions, and evidence-based decision-making across underwriting and portfolio management.

Leads analytics and AI initiatives for North American underwriting teams, translating business needs into analytical requirements and practical solutions. Performs hands-on analysis of complex datasets, recommends appropriate analytical methods, prototypes AI-enabled solutions, and partners with data, technology, and business teams through agile delivery. Communicates findings to technical and nontechnical stakeholders, supports model deployment and monitoring, ensures governance and explainability, and drives measurable adoption and business outcomes.

Handles assigned reinsurance claims throughout the claim lifecycle, including documentation, coverage and liability analysis, reserving, processing, loss monitoring, and escalation of material issues. Partners with underwriting, actuarial, finance, legal, brokers, cedants, and auditors on claims management, audits, reporting, and portfolio oversight. Maintains accurate claims data, supports process improvements and automation, develops training materials, and communicates complex claims and regulatory matters to internal and external stakeholders.

Leads claims-focused insights, analytics, business intelligence, and AI initiatives for an insurance organization. Partners with Claims, Reserving, Actuarial, Finance, Underwriting, and Transformation teams to translate business priorities into data products, dashboards, predictive insights, automation, and AI capabilities. Manages and develops an analytics team, ensures measurable business value, promotes responsible AI adoption, and maintains data, AI, and information governance standards.