Top Senior Data Management Jobs in Houston, TX

Leads enterprise business data strategy, governance, analytics, business intelligence, AI enablement, and data modernization. Partners with executives and cross-functional leaders to establish data ownership, improve quality, develop analytics and KPI frameworks, prioritize AI use cases, and measure transformation value. Builds data-focused organizational capabilities, drives adoption and data literacy, develops investment cases, and guides enterprise initiatives that improve forecasting, planning, operational decisions, and business outcomes.

Leads enterprise business data strategy, governance, analytics, business intelligence, AI enablement, and modernization initiatives. Establishes data ownership models, roadmaps, KPIs, and governance frameworks while partnering with executives and business functions. Builds data and analytics capabilities, develops investment cases, drives transformation value realization, promotes data literacy, and leads cross-functional change to improve decision-making and business outcomes.

Execute configuration and data management processes in NASA’s JEDII/Windchill environment. Control engineering drawings and facility records, support drawing control operations, reconcile part and serial data, maintain configuration status accounting, investigate documentation discrepancies, produce traceability reports, train users, and develop configuration management procedures and work instructions.

Leads Gartner research and thought leadership on data management for AI enablement. Provides expert guidance on data platforms, governance, context-layer architectures, AI integrations, and secure enterprise infrastructure. Develops market insights, advises executive clients, delivers presentations, supports sales, reviews content, mentors analysts, and improves research processes. Requires strong research, writing, analytical, presentation, communication, business, and technical skills, with up to 25% travel.

Leads Gartner thought leadership and research on data management platforms, integration, architecture, operations, metadata, and AI-ready data. Develops market insights, forecasts trends, advises executive clients, supports sales, presents at conferences, reviews content, improves research processes, and mentors analysts. Requires deep data management expertise, strong research, writing, communication, analytical, presentation, and executive engagement skills, plus 15+ years of relevant experience and travel up to 25%.

Leads Gartner research and thought leadership on data management, governance, and AI. Develops actionable insights, analyzes market trends, advises executive clients, delivers presentations, supports sales and conferences, reviews content, improves research processes, and mentors analysts. Requires deep expertise in data and analytics, AI implementation, data security, data value creation, executive communication, research, and strategic analysis. Remote U.S. role with travel up to 25%.

Support commercial performance, revenue management, customer analytics, sales operations, product strategy, and executive decisions. Build financial models, SQL data pipelines, quality controls, BI dashboards, automated workflows, customer health metrics, and product portfolio analyses. Partner cross-functionally with Product, Sales, Finance, Customer Care, Consulting, and leadership teams to deliver actionable insights and improve revenue retention, pricing, and product performance.

The Senior Data Analyst supports Risk Management and Compliance reporting by collecting, validating, analyzing, and modeling data. The role develops dashboards, reports, visualizations, governance practices, and automation using SQL, Excel, Power BI, SSAS, and VBA. Responsibilities include data quality management, systems testing, requirements documentation, UAT support, executive presentations, risk insights, stakeholder collaboration, process improvement, and mentoring junior analysts.

Leads global master data quality and governance, manages onshore and offshore teams, and develops data quality standards, playbooks, dashboards, validation rules, and automated monitoring. Collaborates with business, IT, finance, sales, operations, and customer service stakeholders to resolve root causes, improve data integrity, support reporting, and maintain master data across enterprise systems. Serves as the organization’s data quality subject matter expert.

Leads public financial management data analysis, fund-flow and expenditure reconciliation, fiduciary risk assessment, and verification support in Uganda. Produces dashboards, exception reports, risk flags, and evidence summaries from financial, HRIS, and administrative data. Supervises and trains analysts and verification teams, coordinates with government and project stakeholders, maintains audit trails, and identifies issues requiring targeted field verification.

Leads Versapay’s enterprise data strategy, architecture, governance, quality, accessibility, and commercialization. The role unifies transactional and analytical data, establishes semantic models and data catalogs, enables secure AI and agentic capabilities, develops external data products, manages data platform costs, and leads teams across data engineering, analytics, BI, and platform operations. The Senior Director partners with executive, product, engineering, commercial, finance, legal, and compliance stakeholders.

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.

This role manages MDM/PIM strategies and architectures, ensuring data integration across enterprise systems, governance, and data quality. Responsibilities include overseeing implementation, leading cross-functional teams, and defining data governance frameworks.

Lead integration of technology into information systems, design data warehouse and BI capabilities, define data architecture and dictionaries, centralize disparate data, design dashboards, document system architecture, perform data quality and management, and provide solution engineering, pilots, and enablement for analytics and resource management.