Top Data Management Jobs

Manage data analysis for transaction monitoring, risk identification, and compliance. Analyze high-volume transaction data using SQL, Python, Splunk, and visualization tools; conduct root-cause investigations; design risk data architectures; identify process and reporting improvements; advise business and product teams; and translate technical findings into executive recommendations. The role also involves stakeholder liaison, regulatory alignment, data integrity, and managing concurrent analytical projects.

Leads CASL’s data analytics and business intelligence functions by integrating data across systems, developing SQL-based databases, reports, dashboards, and automated pipelines, and delivering actionable insights for institutional decision-making. Oversees SQL Server administration, data security, quality, integrity, and performance. Provides documentation and training while managing reporting projects, supporting leadership, and ensuring responsible handling of sensitive information.

Leads enterprise data and analytics strategy, governance, technology roadmaps, and scalable data solutions. Oversees data engineering, business intelligence, reporting, analytics, data quality, integration, and warehouse or lakehouse environments. Partners with business and technology leaders to deliver data products, dashboards, automation, and AI-enabled solutions. Manages resources and vendors, prioritizes initiatives, ensures security and compliance, and develops analytics talent while driving data-informed decision-making.

Leads a high-performing team managing Google Cloud analytics marts and enterprise data assets. Oversees data quality, testing, UAT, governance, documentation, incident resolution, and data literacy initiatives. Analyzes datasets, translates business needs into technical requirements, consults on data usage, and partners with analytics, operations, and technology teams to improve data capabilities and align solutions with enterprise strategy and technology roadmaps.

Leads philanthropy data strategy, reporting, CRM administration, and technology operations. Oversees data governance, system integrity, dashboards, forecasting, campaign reporting, integrations, vendor relationships, automation, and continuous improvement. Partners with philanthropy leadership to improve fundraising performance and operational efficiency, while ensuring data quality, security, compliance, and documentation. Supervises and develops staff and serves as the subject matter expert for philanthropy data and technology.

Owns data integrity, quality assurance, remediation, standards, and governance for Development data. Leads audits, maintains data definitions and business rules, assigns corrective actions, facilitates governance decisions, and partners with analytics, CRM, fundraising, finance, IT, compliance, and legal teams. Develops training, monitors stewardship accountability, resolves data-quality issues, and ensures reliable reporting and downstream business processes.

Leads the Health Fund’s Data Engineering Team and oversees enterprise data warehouses, pipelines, integrations, governance, testing, and data quality initiatives. Provides technical leadership, manages staff, translates business requirements into scalable solutions, and partners with business, technology, QA, infrastructure, and external vendors. Ensures data platforms meet performance, reliability, privacy, security, regulatory, and operational requirements while developing data strategy, architecture, documentation, standards, and best practices.

Manages global trade data and automation initiatives by building dashboards, reporting tools, and SharePoint environments. Collects, cleans, validates, and analyzes large datasets to identify trends, anomalies, and improvement opportunities. Collaborates with program management, audit, investigations, disclosure, and technology teams to deliver actionable insights, monitor data health, and support compliance-related reporting.

Manages financial aid systems, databases, SQL queries, reports, dashboards, integrations, automation, and data quality. Troubleshoots complex technical issues, supports Banner and related enterprise systems, administers compliant financial aid processes, and coordinates upgrades and testing. Leads process improvement initiatives, trains staff, documents technical procedures, and collaborates with IT, vendors, and campus stakeholders. Provides financial aid customer service and counseling while supporting regulatory compliance and operational reporting.

Leads the customer master data governance program and serves as business owner for the Informatica MDM platform. Oversees governance policies, data quality, customer hierarchies, stewardship operations, source onboarding, platform enhancements, and AI-enabled matching and deduplication. Partners with business, IT, technical teams, and external providers to define requirements, manage priorities, resolve issues, and improve data processes. Performs hands-on testing, validation, reconciliation, and user acceptance activities before platform changes are deployed.

Leads a data engineering team delivering GenAI-powered data solutions across the full data lifecycle. Responsibilities include ETL/ELT pipelines, database and knowledge graph architecture, enterprise data integration, analytics, strategic roadmaps, technical standards, project delivery, hiring, and team development. The role partners with business and technology leaders while driving cloud adoption, reusable tooling, agentic systems, and scalable data platforms.

Leads data analytics and insights for workspace and amenities, developing reporting tools, predictive analytics, data infrastructure, and trusted data governance practices. Partners with real estate, business, technology, and data teams to translate large datasets into actionable insights, support strategic decisions, and improve analytics capabilities. Presents findings to stakeholders and executives while balancing quality, scalability, speed, and continuous improvement.

Lead and manage a team building and operating enterprise data pipelines, warehousing, and integration solutions. Oversee data architecture, ETL, data quality, governance, BI support, vendor selection, and cross-functional collaboration to ensure reliable, scalable, and secure data for business reporting and decision-making.

Lead a global team of data engineers and business analysts while architecting scalable data platforms, models, warehouses, and ETL/ELT pipelines. Develop SQL and Python data solutions, enforce governance and quality standards, resolve complex data issues, and support financial and operational reporting. Partner with stakeholders on forecasting, customer lifecycle analysis, performance tracking, reconciliation, and evolving business requirements.

Manages corporate real estate spatial data, CAD drawings, CAFM systems, space allocation models, reporting, data governance, and system administration. Supports project management, occupancy planning, and move management by maintaining accurate as-built drawings, monitoring space data, establishing global standards, coordinating system integrations, training users, and recommending process improvements. Requires expertise in CAD/CAFM, drafting, space planning, and corporate real estate data management.

Leads a team of data analysts supporting Marketing, Digital, Customer, and DEI functions. Oversees dashboards, reporting, advanced analytics integration, data requirements, quality assessment, visualization, and business insights. Partners with Data Science, Data Engineering, Technology, business units, and vendors to translate requirements into actionable solutions and drive analytics adoption. Coaches analysts, manages priorities, and supports strategic use cases using SQL, Python, cloud data platforms, experimentation, and business intelligence tools.

Owns the program reporting and analytics function, including dashboard architecture, reporting migration, data governance, data integrity, trend analysis, forecasting, and executive decision support. Leads reporting analysts and document control staff, maintains deliverable reporting accuracy, establishes metrics and quality standards, and ensures audit-ready traceability. Requires advanced Power BI, Excel, and reporting leadership experience in a program environment.

Leads data analytics and business intelligence strategy, mining large datasets, building and validating models, improving processes and reporting, evaluating products and initiatives, and consulting on data systems. Manages and mentors junior analysts, collaborates across business units, and oversees projects from inception through completion. The role requires advanced analytical, programming, communication, leadership, and problem-solving skills.

Leads a team of five experienced analysts and data scientists while personally owning strategic analytics across ecommerce, health, supply chain, inventory, fulfillment, and merchandising. Partners with executives, establishes KPI and reporting standards, prioritizes the analytics roadmap, and delivers actionable business insights. The role also advances AI-native, self-service analytics capabilities, strengthens data governance and quality, and builds a high-performing analytics culture.

Leads data engineering teams responsible for designing, developing, and maintaining scalable data systems, integrations, pipelines, warehouses, and governance solutions. Provides technical leadership, mentorship, architecture guidance, and cross-functional coordination to meet business requirements, service-level agreements, compliance standards, and operational goals. Evaluates emerging technologies and oversees internal and outsourced resources supporting master data management, analytics, data warehousing, and enterprise information systems.

Leads data engineering teams responsible for designing, developing, maintaining, and integrating scalable data systems, pipelines, warehouses, and governance solutions. Provides technical leadership, mentorship, architecture guidance, compliance oversight, and cross-functional coordination with business, infrastructure, operations, and external partners. Evaluates emerging technologies, manages internal and contracted resources, and ensures data platforms meet business requirements, operational standards, and service-level agreements.

Design and maintain scalable HR data architecture in Snowflake; build and optimize ETL/ELT pipelines with Matillion; enforce data governance, quality, lineage and security; manage SQL Server metadata environments; implement DevOps for data assets; partner with stakeholders and support AI-ready semantics and reusable data products.

Leads a team of data engineers responsible for building and scaling Niche’s data platform. Oversees data pipelines, warehouse layers, platform reliability, data quality, monitoring, and engineering best practices. Manages roadmap execution, Agile rituals, cross-functional collaboration, hiring, mentoring, and career development. The role also drives process improvements, operational excellence, scalability, and delivery of secure, observable data solutions supporting analytics, reporting, content, and operational systems.

Own Pursuit’s data infrastructure, semantic layer, data dictionary, reporting, dashboards, and AI-enabled capabilities. Improve data quality and self-service access while designing structures with cross-functional teams. Establish data governance for reliable human and AI-agent use, evaluate AI workflows, integrate SaaS systems, and administer permissions and workflows. The role requires hands-on technical work, cross-functional project management, stakeholder communication, and high ownership of scalable data systems.

Own and maintain the commercial SQL Server database, data pipelines, integrations, master and reference data, validation processes, and external market-data ingestion. Build trusted datasets connecting sales, product, customer, territory, and market information to Power BI reporting. Troubleshoot production incidents, improve pipeline reliability and performance, document data lineage and definitions, and serve as the commercial analytics data expert while partnering with stakeholders and source-system owners.