Top Data Management Jobs

Lead the Data & ML Platform team, overseeing data engineering, real-time systems, and ML enablement, while building reliable, scalable data platforms and improving data architecture.

As the Manager of Data Governance, you'll lead enterprise data governance, ensuring data quality and compliance across the organization, while collaborating with stakeholders in Engineering, IT, and Operations.

Lead the Data & Analytics Engineering teams, overseeing the end-to-end data platform and AI integration, while managing team growth and partnerships with business stakeholders.

The Data Solutions Manager leads a team to deliver high-quality data solutions, overseeing data management, sharing, governance, and modernization across on-prem and cloud environments.

The Senior Manager leads Power BI reporting and analytics functions, overseeing a team and ensuring standardized, scalable reporting solutions while managing transition to Microsoft Fabric.

Lead the Data Engineering practice as a senior pillar head: drive strategy, grow accounts, oversee solution architecture and delivery across Snowflake/Databricks/cloud platforms, develop offerings, mentor senior teams, and ensure governance, quality, and commercial performance for enterprise data modernization programs.

Advise clients and lead delivery of enterprise data strategy and governance programs. Design governance technology, data architecture, MDM, data quality, operating models, roadmaps, and AI readiness. Assess environments, build implementation plans, evaluate vendor solutions, support business development, manage teams, budgets, and delivery, and develop methodologies to improve data management maturity.

The CX Data & Insights Manager oversees customer feedback programs, analyzes data to derive insights, and collaborates with teams to enhance customer experience and engagement.

Lead a small product analytics team to drive data-informed product decisions for Higher Education courseware. Define KPIs across commercial and learning outcomes, own instrumentation and telemetry, scale experimentation (A/B tests), surface discovery insights, govern data quality, and communicate findings to executives. Partner with product, design, and engineering to embed analytics as a product capability.

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 sustain enterprise master data operations (Material, Customer, Vendor, Pricing), enforce governance and SOX controls, drive data quality via KPIs and continuous improvement, support MDM/ERP initiatives, manage third-party providers, and develop data dictionaries, metrics, and process documentation.

Lead and mentor a team of data engineers to design, implement, and maintain scalable data pipelines, ensuring data quality and compliance with healthcare regulations.

Lead and manage preprocessing of overhead satellite imagery data pipelines, ensuring data integrity, QC, documentation, and customer-facing requirements. Oversee databases, ETL, cloud-based architectures, and geospatial file handling while mentoring team members and coordinating execution across the full data operations lifecycle to support intelligence missions.

Lead strategy and delivery for enterprise data, ELT, API, and AI platforms. Manage engineering and product teams to build scalable, secure data and integration capabilities, enforce governance and standards, optimize platform operations and vendor relationships, and drive cloud-native, CI/CD, and automation best practices to support analytics, interoperability, and AI use cases.

Lead a small analytics team to deliver end-to-end interactions and events analytics: define data, pull and analyze datasets, build insights and recommendations, create and automate dashboards/reports, coach team members, partner with stakeholders, and drive continuous improvement to improve client interactions, retention, and operational performance.

Lead design and build of a cloud-based data platform; manage and mentor data engineering staff; define engineering standards, data governance, and access controls; partner with stakeholders to deliver scalable, reliable data pipelines and platform services for analytics and AI.

Lead and mentor a data engineering team to design, build, and maintain scalable data platforms, pipelines, and warehouses. Ensure data quality, governance, security, and performance; collaborate with data science and BI teams; manage projects, budgets, KPIs, and technology selections; drive automation and DataOps/DevOps practices to enable data-driven decisions across the enterprise.

Lead enterprise customer data governance and master data management. Define standards, golden records, data quality rules, and lineage. Partner cross-functionally to resolve data issues, ensure compliance, run SQL-based analyses, and drive change to enable data-driven decision making across global operations.

Lead a delivery-focused team in Enterprise Data and Information Services to manage Data Supply Chain initiatives, own end-to-end delivery, run Agile practices, coordinate cross-team work, manage 24/7 production support and vulnerability remediation, drive larger data initiatives, and communicate changes to stakeholders.

Lead a team delivering financial and operational insights for shipboard operations. Oversee dashboarding, forecasting, data governance, stakeholder engagement, and scalable analytics solutions using Tableau/Power BI and SQL to drive financial performance and decision-making.

Lead a team delivering shipboard financial and operational insights via dashboards, forecasting, data validation, and cross-functional collaboration. Drive analytics strategy, ensure data quality, and translate complex financial data into actionable recommendations to support decision-making and operational efficiency.

Lead a team delivering reporting, dashboards, and analytics for policy administration. Ensure data quality and governance, validate reporting, analyze trends, support audits/compliance, and provide actionable insights to improve operations, digital adoption, and customer experience while partnering across business and technology stakeholders.

Lead the master data management function, set data standards and governance, manage MDM analysts, ensure data quality across item/vendor/pricing/location domains, partner with cross-functional teams, support system implementations and migrations, and drive continuous improvement in retail data processes.

Lead a Salesforce data engineering team to design, deliver, and support Salesforce-to-Salesforce integrations and migrations, data modeling, ETL/transformations, automation, and observability. Manage hiring, performance, and career development; partner with stakeholders; adopt AI/LLM agent tooling to automate workflows and improve data quality; reduce technical debt and document systems and processes.