Top Data & Analytics Jobs in NYC, NY

Build scalable customer experience data systems, pipelines, dashboards, metrics, and reporting frameworks. Analyze customer interactions and operational data to identify performance drivers, root causes, and improvement opportunities. Develop AI and LLM-powered quality assurance and feedback workflows, maintain data governance, and ensure analytics platform reliability. Partner with Customer Success, Support, Product, Engineering, and Data teams to deliver actionable insights and executive reporting. Manage NPS outreach and communicate recommendations to leadership.

Lead and grow a Business Intelligence team, partner with senior leaders to prioritize analytical initiatives, ensure analytic output quality, drive BI operating model evolution, adopt modern BI tooling and self-service, and embed AI-assisted methods to improve decision-making.

The Senior Data Scientist will lead analytics projects, define success metrics, run experiments, and present data-driven insights to influence product and business strategies.

Lead and grow a Data Governance team to build and run governance programs: metadata standards, taxonomy, glossary migration, data catalog ownership (Atlan), asset certification, data quality observability, and stakeholder adoption. Act as subject-matter expert, enforce certification standards, arbitrate definitions, and apply AI tooling to scale governance work.

Lead and grow the data platform engineering team; own technical direction for pipelines, infrastructure, orchestration, and standards; drive reliability, observability, cost optimization, and governance; recruit and mentor engineers; collaborate cross-functionally to align platform priorities with business needs and enable analytics and ML workloads.