Top Data Management Jobs

Leads Criminal and Housing Data Acquisition teams, overseeing vendors, data quality, compliance, staffing, KPIs, audits, training, reporting, and process improvement. Resolves escalated data issues, expands public-record coverage, and provides operational guidance while partnering with the Director of Data Acquisition. The role requires SQL Server, XML, HTML, reporting, criminal-record lifecycle, and team-supervision experience. Work is remote within the United States or office-based in Cleveland, with occasional overnight travel.

Leads and coaches a data engineering team while contributing hands-on to platform architecture, data modeling, ETL pipelines, data quality, and analytics solutions. Designs trusted facts, dimensions, snapshots, and slowly changing dimensions using Snowflake, Databricks, dbt, and Airflow. Partners with stakeholders, security teams, vendors, and cross-functional groups on data strategy and controls, resolves production issues, supports incident response, and develops engineering talent.

Manage secure, compliant data environments, including governance policies, data architecture, integration, quality, security controls, audits, and performance optimization. Lead data analysis, reporting, documentation, and cross-functional collaboration while mentoring junior staff. The role requires protecting sensitive or classified data, maintaining access controls and encryption, and ensuring compliance with government and organizational standards.

Leads enterprise master data governance across customer, product, supplier, and transaction domains. Establishes data standards, architecture, quality metrics, systems of record, and warehouse structures. Partners with IT, analytics, and business leaders to enable reliable reporting, AI, customer segmentation, pricing, sourcing, and operational insights. Drives data cleanup, enrichment, continuous improvement, cross-functional governance, training, and data literacy while maintaining business ownership and accountability for enterprise information integrity.

Leads enterprise master data governance across customer, product, supplier, and transaction domains. Establishes data standards, architecture, quality metrics, systems of record, and governance processes; partners with IT, analytics, and business leaders to enable reliable reporting, AI, customer segmentation, sales growth, sourcing, pricing, and operational decisions. Oversees data enrichment, architecture approvals, corrective actions, change management, data literacy, and cross-functional implementation of enterprise information standards.

Manage, clean, and analyze program datasets to support the TARS program. Produce dashboards and reports (Excel, Power BI, Tableau), ensure data quality and governance, develop SOPs, support audits and ad hoc requests, and collaborate with stakeholders to inform decision-making.

Lead data management and digitalization for construction projects: define data policies, administer DocSite/SharePoint and Procore, build Power BI dashboards, integrate Procore via API, train staff, coordinate cross-team digital workflows, and identify opportunities to improve project efficiency and analytics.

Lead strategic analytics for marketing by building and deploying BI, predictive models, and reporting to influence senior leadership. Translate complex analyses into actionable recommendations, partner cross-functionally, identify market inefficiencies, advise on data acquisition, and support project delivery and stakeholder engagement.

Design and implement enterprise data governance architecture, standards, and integration patterns. Define metadata, lineage, data quality, access management, and stewardship capabilities. Partner with engineering and business teams to integrate governance controls, monitor effectiveness, and recommend improvements. Provide technical leadership, documentation, and enablement across projects and platforms.

Manage and mentor a data engineering team while leading Snowflake-based platform architecture, enterprise data integrations, governance, observability, and pipeline reliability. Partner with analysts, business leaders, product management, and engineering teams to improve trusted self-service data access. Establish engineering standards, modernize the data stack, optimize costs, and deliver an AI-ready data foundation supporting analytics, reporting, and future AI initiatives.

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.

Lead BI and analytics initiatives: design, build, and maintain dashboards, reports, data models, and automations using Power BI and SQL. Analyze financial and operational data to improve workflows and resource allocation, apply process-improvement methods, lead cross-functional projects, ensure data governance, provide training, and partner with leadership to deliver actionable insights.

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

Lead a team of data engineers supporting VALORANT to build scalable data infrastructure, set technical direction, ensure data quality and compliance, partner with analytics/product teams, optimize costs, and establish engineering best practices and tooling across Riot.

Lead a team delivering actuarial statistical reporting, regulatory submissions, and analytics. Ensure compliance with bureau requirements, drive automated reporting and UAT for policy/claims systems (Guidewire, Solartis), partner with actuarial, technology, and vendors, and manage stakeholder/regulator interactions while mentoring staff and improving data governance and reporting processes.

The Data Steward/Policy Manager leads data integration and governance efforts, manages teams for intelligence operations, drafts documentation, produces reports, and delivers presentations on data-related tasks.

Lead strategic initiatives by analyzing flight operations, maintenance, dispatch, and crew data to identify efficiency improvements. Monitor KPIs, perform root cause analysis, drive process improvements, collaborate cross-functionally, and prepare reports and presentations for senior leadership to inform operational strategy.

Lead a centralized global data function and small technical team to translate business strategy into data priorities. Own intake, prioritization, delivery, and a global Data Champion program. Define governance, maintain data standards and catalogs, ensure AI readiness, evaluate tooling, and report on data health and business impact to senior leadership.

Lead and develop a team of data engineers while contributing hands-on to design, implement, and operate scalable, secure data pipelines. Partner with product, software, and architecture teams to deliver cloud-native data solutions, ensure production reliability, and drive engineering best practices and continuous improvement.

Lead and mentor a data engineering team to architect and implement scalable cloud lakehouse/warehouse solutions, design enterprise data models, build batch and real-time ETL/ELT pipelines, enforce data quality and governance, establish CI/CD and DataOps practices, and enable AI and advanced analytics.

Owns enterprise-wide customer data governance, master data management, data quality, standards, lineage, security classifications, and compliance. Leads customer data domain strategy, golden-record definition, quality analysis using SQL, issue resolution, governance initiatives, stakeholder communication, change management, and regulatory alignment. Partners across business, sales, marketing, legal, privacy, and technical teams while managing data catalogs, integrations, audit trails, and governance training.

This position manages a team responsible for integrating business systems, including hiring, performance reviews, budgeting, and project management.

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.

Lead and manage data engineering teams to design, build, and maintain high-quality data pipelines. Oversee automation, performance scripting, data modeling, database optimization, and quality-control processes. Collaborate with product, engineering, and operations to deliver data-driven features and support SEC-related data needs and AI/LLM integrations.

Lead projects to enhance customer experience, oversee data operations, and implement marketing strategies while analyzing market needs and insights.