Top Big Data Product Manager Jobs in New York City, NY

Own product roadmaps and execution across multiple healthcare data product areas. Gather client and prospect feedback, conduct data research, define and launch new features, investigate data quality issues, evaluate AI model performance, establish accuracy targets, maintain product documentation, and translate healthcare regulations into product requirements. The role partners closely with leadership, engineering, solutions, and QA teams.

Own customer-facing AI and data engagements from discovery through production launch. Define business value, pilot MVPs, success criteria, and product requirements; prioritize engineering backlogs; lead technical discovery and architecture discussions; manage agile delivery, testing, security, performance, adoption, and stakeholder alignment. Partner with executives, sales, and engineers to deliver production-ready solutions and identify follow-on opportunities.

Own a defined area of an AI-powered oncology platform, managing its backlog, specifications, release notes, documentation, analytics, and performance measures. Write user stories and acceptance criteria, coordinate backlog grooming and sprint planning, collaborate with engineering and clinical teams, gather user feedback, prioritize improvements using data, and validate product releases.

Serve as Bikky’s first dedicated Product Manager, partnering with the CTO, customers, engineers, designers, analysts, and commercial teams. Drive product decisions, research and launch new products, refine existing data products based on customer needs, manage product communications and operations, and support go-to-market adoption. Establish scalable product practices while prioritizing high-impact opportunities and maximizing customer value.

Own the Falcon Writer AI authoring product for regulated life sciences content. Define features, requirements, quality controls, metrics, and roadmap priorities while partnering with engineering, QA, project management, and customers. Build expertise in medical writing, regulatory, and clinical workflows; lead customer discovery; evaluate AI use cases, guardrails, verification, and human review; and ensure product adoption, quality, and delivery success.

Own the Graphyte platform’s enterprise-readiness roadmap, including identity and access management, permissions, auditability, tenancy, data handling, APIs, developer experience, and administrative controls. Drive performance, scalability, reliability, and resilience outcomes with engineering. Translate security, compliance, procurement, and customer requirements into product priorities and technical requirements. Partner with Compliance, Delivery, Customer Success, and executives to improve enterprise adoption and deployment success.

Lead the development of Agentic Personalization at Hightouch, focusing on customer discovery, agent experience, and go-to-market strategies while collaborating across teams.

Own the strategy and roadmap for Dremio Cloud’s platform infrastructure, including control and data planes, regional networking, observability, reliability, provisioning, capacity planning, self-healing, and cost optimization. Define operational models for private and sovereign deployments, use telemetry and customer signals to guide improvements, and collaborate with engineering, cloud operations, security, finance, and revenue operations. Drive technical alignment, documentation, enablement, and smooth issue transitions across teams.

Owns end-to-end workflow strategy and execution for a centralized healthcare platform. The role defines product requirements, partners with engineering, optimizes cross-product workflows, analyzes adoption and utilization data, engages customers, and drives roadmap decisions. Success involves improving workflow performance, customer adoption, scalability, and operational outcomes across live environments while coordinating multiple stakeholders and introducing automation and AI-supported tools.

Lead development of AI-native GTM products using LLMs and autonomous agents. Set vision and roadmap, partner with sales/marketing/CS, define AI metrics, run experiments, and lead cross-functional teams to deliver revenue-driving, user-centric automation.