Top Data Management Jobs in NYC, NY

Lead Finance Data & Analytics to build trusted data sources, governance, and analytics for Finance and cross-functional stakeholders. Manage analysts, drive data strategy and Snowflake data models, produce insights via SQL and Tableau, and deploy AI solutions to optimize finance decision-making and operations.

Lead the migration domain to ensure accurate, complete, repeatable migration of customer, account, product, and transactional data. Oversee migration automation/tooling and legacy data hygiene. Own analytical frameworks, data mapping, and reconciliation controls to ensure institutional and regulatory confidence. Lead cross-functional teams and drive product outcomes aligned with business and technology objectives.

Lead design and build of ETL pipelines and Gold Layer tables in Databricks; develop semantic layers, data dictionaries, and AI-ready documentation; create dashboards and ad-hoc analyses to surface marketing and sales KPIs; partner with stakeholders to translate requirements into analytics-ready datasets and enable self-serve BI and agentic AI workflows.

Senior Data Risk Manager providing second-line oversight for enterprise data risk. Conduct risk and gap assessments, advise business and technology partners, embed data governance and quality controls, and influence product roadmaps to ensure regulatory compliance and strong data management practices.

Manage sustainability performance data across the North American office portfolio, including utility billing, data quality control, PowerBI dashboards, GHG accounting, reporting (e.g., GRESB), and annual data assurance. Administer data systems and user access, liaise with vendors/utilities, support net-zero plans and sustainability initiatives, and collaborate with property operations and corporate teams on reporting and program implementation.

Own the end-to-end data products for Supply Chain: define roadmap, translate stakeholder needs into technical user stories, design scalable data models, oversee ELT/ETL pipelines and BI analytics, ensure data quality/governance, and lead Agile delivery while enabling predictive analytics.

Lead the Consumer Data Engineering team to build and deliver Gold-layer data products within a GCP Medallion architecture. Manage onshore engineers and offshore partners, align technical roadmaps with business priorities (personalization, attribution, omnichannel), ensure architecture standards, enforce code quality and testing, and run agile delivery of data product features.

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.

Own and execute the data platform roadmap powering custodial ingestion, security master, and AI-ready data products. Lead and grow the data engineering team. Design canonical financial models across custodians, ensure data quality, reconciliation, lineage, and governance for regulated datasets, and support AI integrations.

Manage and improve data systems to support organizing and voter contact strategy. Lead EveryAction and voter file management, create SQL queries and commit them to GitHub, manage project workflows (AirTable/Asana) and JIRA tickets, support reporting and shared-drive documentation, train and assist field and digital teams, and coordinate coalition and vendor data activities to enable data-driven campaign and organizing work.

Lead the design, build, and scaling of an enterprise data governance platform integrating Collibra, Snowflake, and Databricks Unity Catalog across multi-cloud and on-prem environments. Define governance frameworks for lineage, metadata, quality, access, and compliance; drive API-driven automation, interoperability standards, and adoption; partner with engineering, risk, and business stakeholders to deliver measurable KPIs, roadmaps, and executive reporting.

Lead data-driven analyses supporting M&A and private equity transactions. Clean, combine, model, and visualize large financial, customer, pricing, and operational datasets using Python, Alteryx, SQL, and BI tools. Deliver insights on revenue, margin, profitability, and value-creation opportunities, manage client deliverables, mentor juniors, and support business development and proposals.

Lead data strategy, governance, and BI for marketing/media campaigns. Coordinate cross-functional teams, ensure data quality and harmonization, manage projects and campaign oversight, drive automation and mentor staff to optimize reporting and performance.

Lead data strategy, governance, and BI for marketing and media campaigns. Liaise across digital, analytics, and offshore teams; manage projects, ensure data quality, harmonize datasets, automate processes, and mentor team members to improve campaign tracking and reporting.

Lead development and execution of scalable data strategies, governance, and BI for marketing campaigns. Oversee data quality, ETL, campaign tracking, and reporting; coordinate cross-functional and offshore teams; drive automation and process improvements; manage projects and mentor team members to ensure optimized campaign delivery and performance.

Lead development and governance of marketing and media data solutions. Oversee data quality, ETL/data warehousing, campaign tracking, BI reporting, automation, and cross-functional project delivery while mentoring team members and liaising with internal and external stakeholders.

Lead data strategy, governance, and BI for marketing and media campaigns. Manage cross-functional stakeholders and offshore teams, oversee data quality, ETL, campaign tracking, and automation, and mentor staff to ensure accurate reporting and optimized campaign performance.

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

Lead and manage data science teams to build models and drive business solutions; oversee compliance analytics and ensure data quality.

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.

The Data Manager will develop dashboards, conduct statistical analyses, and support compliance through data management and risk assessments to enhance organizational performance.

Manage the ASISTS enrollment system, enter and maintain student and attendance data, prepare reports for analysis, follow up for outcomes, support intake/registration/testing, assist instructors, develop outreach materials, and complete required trainings.

Manage receipt-based data ingestion (OCR, transcription, email, account connections); ensure pipeline stability and data quality; translate business requirements into collection specs; partner with Engineering and Product; manage vendors, forecasting and budgets; produce KPI reporting; and support EU rollout and GDPR-aligned processes.

Build and run an enterprise data governance program: create policies, standards, and controls; establish data use and de-identification programs (HIPAA-compliant); define ownership and stewardship; measure and remediate data quality; maintain governance artifacts; align cross-functionally; report and drive adoption and training.

Lead and manage a remote Data Engineering team to build scalable data pipelines and lakehouse solutions. Own execution of Medallion architecture using Databricks, Boomi/Rivery, dbt, Delta Lake and SQL Server; implement DataOps, CI/CD, observability, and stakeholder intake while growing engineers and improving team maturity.