Top Data Management Jobs in NYC, NY

The Systems Manager leads the Data Operations team, overseeing data architecture, quality, and integration for the Enterprise Data & Analytics Platform, ensuring reliable data delivery for business use cases.

The Systems Manager oversees the Google Cloud enterprise data platform, ensuring operational excellence, data governance, and management of ingestion processes while collaborating with various teams to optimize data quality and performance.

The Senior Data Strategy Manager leads high-priority data initiatives, manages budgets, prepares executive communications, and aligns data strategy with business priorities.

Lead creation and implementation of audience and data strategies for retention, acquisition, and prospecting. Produce audience insights, sizing, segmentation, and align profiles with investment and activation teams. Identify data and technology partners, design test-and-learn agendas, and build roadmaps for a cookieless future.

The Director will lead analytics strategies, develop data-driven solutions, and optimize data pipelines to enhance A&R and marketing efficiency.

Lead development and delivery of analytical datasets and AI-enabled analytics for global real estate. Partner with stakeholders to translate business needs, design data solutions, enforce governance and quality, scale AI use cases, and deliver executive-level reporting and project management.

Lead and scale the enterprise data hub: manage the data warehouse, build reliable ingestion and transformation pipelines, implement governance and data modeling best practices, deliver GTM-ready metrics, enable AI/ML use cases, prioritize the data roadmap, and lead/mentor a data engineering team.

As a Curriculum Manager, you will manage the content development lifecycle, collaborate with instructors, and improve data science curriculum, ensuring technical accuracy and pedagogical effectiveness.

Lead a hands-on analytics team (player-coach) delivering deep-dive analyses, A/B testing, KPI dashboards, metric governance, and stakeholder-facing insights while managing and developing analysts and partnering with data engineering.

Lead combined Analytics Engineering and Data Engineering teams owning the end-to-end data roadmap from ingestion to trusted metrics. Manage hiring and performance, set architecture and platform investments, enforce testing/monitoring/documentation standards, review technical decisions, and partner with product and business stakeholders to translate needs into prioritized deliverables.

Lead and mentor a team of data engineers to design, build, and maintain scalable data pipelines, platforms, and data products. Provide technical oversight, code and architecture reviews, cross-functional partnership with product and analytics teams, and drive operational reliability, data quality, governance, and continuous improvement.

The IT Audit Senior Manager leads data-related audits, guides teams on corrective actions, analyzes audit results, and develops audit reports while addressing complex problems and mentoring colleagues.

Manage data issue triage and root-cause analysis across teams; scope and execute analytical requests; build dashboards and reports; partner with engineering, data, and customer success; communicate findings to varied audiences; lead and develop a small analytics team.

Lead and grow a data engineering team to design, build, and operate scalable, cost-efficient data lakehouse pipelines and infrastructure. Define technical strategy, enforce engineering best practices (CI/CD, testing, monitoring), own roadmap and capacity planning, collaborate with product and engineering stakeholders, manage on-call and operational automation, and hire talent. Ensure data governance, lineage, and compliance in a regulated healthcare environment.

Lead analytics for Paid Media strategy: design and deploy audience segmentation, ML models, and experimentation to optimize targeting, personalization, and digital acquisition. Apply emerging AI/GenAI techniques, collaborate cross-functionally to implement scalable data products, measure performance, and communicate insights to stakeholders.

Administer and maintain CRM and data systems (EveryAction, Salesforce, BigQuery, CARTO), respond to staff and affiliate data/tech requests, ensure data quality and de-duplication, create and deliver training materials, build network capacity, manage vendor/consultant relationships, and travel occasionally for in-person trainings and support.

Lead analytics and reporting for DTC channels, develop dashboards and quality metrics, ensure data integrity, support vendor oversight, and drive performance improvements using data tools and quality processes focused on Medicare sales.

Lead enterprise data governance, quality, MDM, cleansing, validation, reconciliation, and migration efforts to support ERP implementations and large transformation programs. Develop governance frameworks, coordinate data readiness and testing, produce executive reporting and presentations, manage project plans and governance artifacts, and drive stakeholder alignment and change management.

Lead a high-impact analytics team to build dashboards, reporting, and AI-powered customer analytics. Drive segmentation, personalization, experimentation, and ML operationalization by partnering with Data Science, Data Engineering, and business stakeholders while mentoring analysts and championing data literacy.

Lead strategy and delivery of enterprise streaming and social data products that serve as authoritative sources of truth. Ensure AI-ready, governed, semantically consistent data with metadata, lineage, observability, SLAs, and adoption plans. Partner with analytics, engineering, and commercial teams to define metrics, manage external data sources, enforce data contracts, and drive AI and predictive use cases for music consumption and audience insights.

The Senior Manager will lead B2B analytics efforts, drive data-driven strategies for marketing, optimize revenue growth, and enhance performance through advanced analytics frameworks and collaboration with stakeholders.

Lead a small data engineering team partnering with Engagement Marketing to build scalable ETL/ELT pipelines, ensure data quality, define marketing metrics, integrate trusted data with ad platforms, and drive the data roadmap to enable measurement and growth.

Lead a team delivering actuarial statistical reporting, regulatory submissions, and analytics. Ensure compliance with bureau requirements, drive automated reporting and UAT for policy/claims systems (Guidewire, Solartis), partner with actuarial, technology, and vendors, and manage stakeholder/regulator interactions while mentoring staff and improving data governance and reporting processes.

Own operational health, governance, and integrity of GTM customer and prospect data across Salesforce, Marketo, Demandbase and integrated systems. Implement data quality programs, manage enrichment and integrations, troubleshoot sync failures, support segmentation and reporting, document standards, and enable scalable automation and AI workflows to support Marketing, Sales, Customer Success, and Analytics.

The role involves managing data analytics and forecasting, driving revenue-focused insights, designing experiments, and building scalable models while leading a team of analysts.