Top Tech Jobs & Startup Jobs in NYC, NY

Lead organizational transformation by developing change management strategies, collaborating with stakeholders, and implementing process and technology changes to enhance business outcomes.

The Head of Enterprise Architecture leads technology strategies and solutions, promotes emerging technologies, and fosters collaboration between business and IT teams to enhance client experiences.

The VP is accountable for strategy, delivery, and performance of corporate functions technology, managing a large application portfolio and leading a team of 100. Responsibilities include stakeholder engagement, technology portfolio management, and driving digital innovation.

The role involves model validation, monitoring AI model performance, challenging model developers, and translating technical requirements into practical evaluations and controls for AI and ML models.

As an AI Product Insights Analyst, you'll develop AI-enabled analytics frameworks, manage data models, and collaborate to enhance decision-making through Generative AI applications.

The Data Governance Analyst curates metadata, implements governance workflows, supports data quality checks, and drives governance tool adoption to enhance data strategy.

As a Senior Associate Product Analyst, you'll support product management by conducting market analysis, collaborating on strategies, and enabling sales with effective communication.

Lead product compliance for life insurance products across the product lifecycle. Draft and maintain policy forms, manage SERFF filings, provide regulatory guidance to cross-functional teams, support implementation and testing, and assess legislative/regulatory impacts while identifying process and technology improvements.

Design, implement, and optimize data quality management solutions and governance workflows. Collaborate with data product managers, business SMEs, and engineering to improve data quality, discoverability, lineage, and compliance. Support tool implementation (Anomalo, metadata tools), run data profiling/cleansing, document standards, enable users through training, and participate in Agile delivery and backlog prioritization.

Design, configure, and operate data governance tooling for unstructured and structured data. Implement metadata cataloging, lineage harvesting, automated data quality checks, and governance workflows. Build prototypes, dashboards, and connectors using Python, SQL, Databricks, and Streamlit. Collaborate with stakeholders to define critical data elements, prioritize remediation, produce documentation, and drive tool adoption via trainings and enablement.