Top Senior Data Management Jobs in NYC, NY

The Manager will lead a team in analyzing engagement trends and audience behavior to drive strategic insights for content optimization, working with various stakeholders and mentoring technical analysts.

Lead and manage a team of data engineers to develop and maintain data pipelines and warehouses, ensuring data quality and adherence to best practices.

The Sr. Manager of Data Strategy and Reporting oversees data collection, analysis, and reporting for workforce programs, ensuring compliance and enhancing data usability, while collaborating with IT and various departments.

Partner with investment teams to source, validate, model, and report investment data. Build and maintain quantitative models, dashboards, and automated reporting; support performance attribution, risk metrics, backtesting and scenario analysis. Improve processes via automation, cloud and emerging analytics (AI/ML), and collaborate with IT and global stakeholders to ensure data quality and delivery for investment oversight and multi-manager solutions.

Lead sourcing, validating, modeling, and reporting of investment data for Investment Consultancy & Oversight and Multi-Manager Solutions. Build quantitative models, dashboards, and automated workflows; partner with analysts, researchers, and tech teams to improve data quality, performance attribution, and portfolio analytics. Drive process improvements and adopt new technologies to support investment decision-making and reporting.

The Data Analytics Manager will collaborate with Commercial Lines leaders, manage the Global Data Warehouse, and drive data insights for effective decision-making.

Lead operations for a portfolio of enterprise data, analytics, AI and automation platforms. Manage onshore/offshore systems engineers and vendors to deliver 24x7 support, incident management, security/compliance, service level management, continuous improvement, and platform lifecycle activities while partnering with architects and business stakeholders.

The Senior Manager of Data Insights will lead a team to optimize data sharing and governance, develop data strategies, and deliver actionable business intelligence across Docker's operations.

Support data-driven operations by sourcing, integrating, validating, and transforming data; build and maintain dashboards, agency scorecards, and reports; analyze KPIs to identify improvement and cross-sell opportunities; measure campaign effectiveness; ensure data quality; partner with stakeholders and technology teams; support monthly reviews and ad-hoc analytics requests.

Lead data engineering and architecture for data integration and data warehouse projects. Design and build data pipelines, define datasets and strategies, perform data modeling, configure and test ETL processes (Informatica), and work with GCP/BigQuery and Snowflake on Azure. Collaborate with stakeholders to prioritize business use cases and enable reporting.

The Data Product Manager defines the reporting roadmap, manages KPI alignment, collaborates cross-functionally, ensures data quality, and leads continuous improvement in analytics processes.

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

The role involves driving product strategy for data infrastructure, leading cross-functional teams, and implementing MLOps practices for data engineering solutions.

Lead the Consumer Data Engineering Team, manage engineers, ensure alignment with business priorities, establish best practices, and deliver high-quality data products.

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.

The Market Data Manager will oversee vendor relationships, support data governance, ensure data quality, compliance, and align strategies with business needs.

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.

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.

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.

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

Lead data taxonomy, governance, metadata, and documentation for data products. Own definitions, lineage, delivery operations, client-facing issue management, and cross-functional governance to ensure reliable, consistent, and discoverable data assets.

Lead end-to-end governance and operations of Salesforce's Accountability Performance Matrix (APM), owning master product hierarchy, product allocations, and change management. Partner with Data Engineering and Finance to migrate to an automated APM 2.0, define Org62 CRM product allocation fields, lead UAT, support new product introductions and complex bundle mappings, and scale operational processes to ensure accurate executive financial and forecasting reporting.

Lead data-focused consulting projects end-to-end: manage stakeholders and teams, translate business problems into data solutions, perform hands-on SQL (and occasional Python) development, design data models and warehouses, build BI visualizations, run workshops, mitigate risks, and contribute to practice growth and mentorship.

Manage delivery of complex data pipelines in a hands-on role, leading a team of data engineers to develop scalable data solutions and improve analytics capabilities.