Top Tech Jobs & Startup Jobs in NYC, NY

Own enterprise data governance by defining data ownership, glossaries, dictionaries, metadata standards, quality controls, classifications, lineage, access governance, and data contracts. Partner with business, engineering, privacy, cybersecurity, and data product teams to resolve data issues, support AWS and Databricks modernization, manage schema changes, and establish governance policies, metrics, and accountability.

Design, build, and operate production-grade, event-driven data pipelines (Kafka/Flink) on GCP to deliver model-ready features. Optimize BigQuery SQL and Parquet performance, develop Python data workloads (Polars/Pandas), deploy ML pipeline components on Kubeflow/Vertex AI with Docker, design event store architectures, and collaborate with ML and platform teams while documenting architecture and standards.

Prepare, review, and send outgoing audit letters; monitor delivery confirmations and reprocess failures; handle chats and email correspondence; escalate issues, report system/workflow problems, and comply with HIPAA and quality/productivity standards to support the audit process.

Lead design and delivery of agentic AI systems and LLMOps on AWS to generate, validate, and deploy infrastructure-as-code (Terraform). Build multi-agent applications, RAG pipelines, and AIOps for cloud operations; integrate AI into CI/CD and ITSM. Set technical direction, establish guardrails/policy-as-code, curate reusable Terraform modules, and mentor engineering teams.

Lead architecture, development, and optimization of a cloud-native data platform. Design high-volume batch and streaming pipelines, optimize data processing across AWS, Snowflake, Redshift, and Athena, and implement Iceberg-based data management. Establish security, privacy, observability, and DataOps practices while mentoring engineers, guiding technical direction, collaborating with data science teams, and delivering scalable petabyte-level data infrastructure.

Lead Flag Football data-source discovery, integration, and onboarding across global partners. Manage the data roadmap, requirements, schemas, quality processes, milestones, risks, and stakeholder communications. Partner with technical and business teams to operationalize data platforms, identity management, consent-aware practices, participation measurement, and reporting. Enable analytics connecting participation data with fan engagement, retention, and fandom outcomes.

Lead enterprise GenAI strategy and architecture across the 7-layer LLM stack. Advise C-suite, design scalable ingestion and RAG/agentic pipelines, implement observability (token tracing, drift/hallucination monitoring), enforce data protection/DLP and semantic caching, and oversee large onshore client delivery and technology trade-off decisions.

Leads EXLdecision.ai as a product and business unit executive, owning product vision, P&L, roadmap, pricing, go-to-market, growth, adoption, and enterprise expansion. Develops AI-native decisioning capabilities, converts clients from POCs to paid deployments, sponsors strategic accounts, partners with Sales and Marketing, and presents product strategy to executives and boards.

Analyze medical claims (inpatient, outpatient, SNF, rehab, professional, DME) to identify utilization and root causes. Pull/integrate data, perform QA, present findings, maintain attribution methodology, coordinate stakeholders, and develop tools. Primary coding: Hive, SQL, Python.

Schedule insurance appraisal appointments, contact policyholders through phone, SMS, and email, explain appraisal requirements, and build trust. Support homeowners with the ASSIST photo-capture app, resolve technical questions, maintain accurate work-order statuses, prioritize assignments, meet deadlines and productivity goals, and communicate unusual situations to management. This is a remote, work-from-home customer service role with training provided.