Top Senior Data Management Jobs in NYC, NY

Lead a team to design, operate, and scale core data pipelines and analytics infrastructure. Ensure reliable ELT/ETL, dbt-based models, data governance, metric consistency, and cross-functional partnership to deliver trusted self-service analytics and measurable business impact.

Leads enterprise analytics strategy, data integration, governance, reporting, dashboards, forecasting, and advanced business analysis. Manages analysts and partners with Sales, Pricing, Finance, Product Management, Operations, and executive leadership to translate complex data into actionable recommendations. Oversees Power BI dashboards, KPI frameworks, data quality, predictive modeling, and reporting automation to improve growth, profitability, pricing, and operational performance.

Leads the architecture, implementation, and evolution of enterprise data platforms, including Master Data Management, data lakes, lakehouses, and cloud data services. Manages data engineers and developers, establishes engineering standards, oversees Azure-based integrations and pipelines, and owns data applications, databases, security, governance, and production support. The role also directs technical strategy, manages multiple initiatives, and communicates architecture and delivery plans to stakeholders.

Lead and grow a data engineering team that builds and operates ingestion, transformation, orchestration, and serving layers and a self-serve analytics substrate. Own data quality, observability, cost efficiency, SLAs, and engineering practices while partnering with Data Science, BIE, Analytics, and Product to deliver reliable, reusable data products.

Manage and improve corporate giving data systems: build and maintain Tableau/Excel dashboards, respond to ad hoc data requests, clean and govern community data, administer Bonterra/CyberGrants, and lead project management for giving programs and strategic initiatives while partnering with enterprise stakeholders.

Leads enterprise business intelligence and analytics strategy, owning the vision, roadmap, KPIs, and adoption measures for insight products. Manages data engineering and analytics teams, partners with senior leaders, translates business questions into analytical solutions, and delivers executive-ready insights. Provides technical oversight for data models, pipelines, semantic layers, data quality, scalability, and metric standardization across transformation, sales, operations, sustainability, and other enterprise domains.

Lead and grow a data engineering team, define data platform architecture and reliability (warehouse, ingestion, transformations, orchestration), set engineering standards, partner cross-functionally to support analytics and ML, and translate technical decisions for executive stakeholders.

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.

Leads the enterprise analytics organization, managing Analytics Engineers, Data Analysts, and BI Developers. Defines analytics strategy, delivers executive dashboards and operational reporting, establishes KPI and governance standards, builds semantic models and curated datasets, and drives self-service BI adoption. Partners with Engineering, Product, Finance, Operations, Customer Success, and executives to translate business needs into trusted analytical solutions while developing talent and prioritizing analytics initiatives.

Leads the enterprise analytics organization, managing Analytics Engineers, Data Analysts, and BI Developers. Defines analytics strategy; delivers executive dashboards, KPI scorecards, operational reporting, semantic models, and self-service BI. Establishes data governance and metric standards, ensures data quality, partners with Engineering, Product, Finance, Operations, and executives, and translates business questions into actionable analytical solutions. Mentors analytics talent and drives prioritization, adoption, and measurable business outcomes.

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.

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.

Leads research, data analysis, reporting, and data management for film and media incentive programs. Oversees data collection, validation, database maintenance, reporting systems, program evaluation, and industry research. Prepares executive briefings, reports, spreadsheets, and actionable recommendations; tracks production status and incentive structures; improves workflows and data quality; and supports strategic planning, policy analysis, stakeholder engagement, and cross-functional initiatives.

Manages the enterprise Data Governance and Analytics Center of Excellence, leading staff, governance initiatives, analytics strategy, maturity modeling, budgets, vendors, and planning. Coordinates data quality, stewardship, privacy, acquisition, and release programs while partnering with data scientists, engineers, technology governance teams, and business stakeholders. Develops executive presentations, aligns enterprise definitions and algorithms, establishes standards, and ensures analytics projects and business cases meet organizational objectives and deadlines.

The Manager, Data Management leads a firm-wide data management program, ensuring data quality and accountability across master data domains while partnering with stakeholders and managing staff.

Manage the day-to-day functionality, integrity, governance, and reporting of spatial, CAD floor plan, occupancy, and utilization data across a corporate real estate portfolio. Administer the space management system, enforce standards and user controls, support CAFM integrations, monitor data quality and allocation processes, provide training, recommend process improvements, and advise space planning teams on consistent workflows and FF&E solutions.

Leads data strategy and analytics for the Risk/Credit team, translating complex datasets into insights for Credit, Operations, Marketing, Product, and Finance. Responsibilities include automating Python/R workflows, building Tableau dashboards, partnering with Data Engineering on Databricks workflows, conducting strategic analyses, monitoring data quality, presenting recommendations to leadership, and documenting analytical methodologies. The role requires strong SQL, cloud data warehouse, visualization, analytics programming, distributed computing, and version-control expertise.

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.

Leads end-to-end data architecture, ETL pipelines, data models, quality frameworks, monitoring, and BI platform operations. Manages Tableau infrastructure, drives project plans and agile sprint delivery, establishes AI-enabled analytics capabilities, and partners with cross-functional stakeholders. Coaches and manages data engineering team members while ensuring data availability, accuracy, security, documentation, 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.

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.

Lead DR and GP&T commercial data strategy and execution, drive governance, data product readiness, and AI-enabled initiatives. Partner with commercial, product, technology, and risk stakeholders to build reusable data capabilities, strengthen controls, improve data quality/lineage, and translate data investments into measurable commercial outcomes.

Lead and grow a Data Engineering team to build a scalable analytics platform. Set technical direction for dbt and Snowflake, raise analytics engineering standards, enable domain experts to contribute high-quality models, introduce AI-assisted workflows, and partner cross-functionally to ensure reliable, understandable enterprise data.

Leads and scales a global data engineering and analytics team while remaining hands-on with architecture, pipelines, data quality, dimensional modeling, dashboards, reporting, and customer-facing deliverables. Owns the analytical data platform supporting clinical, operational, product, financial, and customer data. Partners with cross-functional stakeholders, investigates complex data issues, improves platform reliability and security, and mentors engineers.

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.