Top Data Management Jobs

The Data & Commercial Analytics Manager leads analytics for AMIRI, managing a team to drive commercial performance insights and strategic decisions, ensuring alignment with business objectives while developing scalable analytics solutions and frameworks.

Manage Data Manufacturing teams responsible for data operations, oversee project management, establish departmental objectives, and develop senior level staff.

Lead enterprise data and analytics governance for a federal technology services program, ensuring secure and effective data usage and decision-making support.

The Sr Data Analytics & Business Insights Manager leads analytics capabilities, defines KPIs, develops predictive models, and ensures metric integrity across the organization while collaborating with multiple departments.

Own the conversion of raw alternative datasets into scalable, AI-ready data products. Define methodologies, metric definitions, and guardrails for AI-driven insights. Partner with engineering, product, and customers to expand use cases, ensure data quality, validate changes, and manage incidents to deliver reliable, explainable data products at scale.

This role involves managing Sales GTM analytics and data science, ensuring data integrity, and providing actionable insights for Sales performance using various analytical tools and frameworks.

The Senior Data Platform Manager will lead data pipeline design, collaborate with stakeholders, implement security practices, and manage a team, improving data systems.

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

This role manages end-to-end data integration operations, ensuring system connectivity and data integrity across various platforms while driving efficiency and managing operational risks.

Lead North America marketing analytics product portfolio, evolve MMM to causal and AI-native methods, prioritize roadmap and epics, oversee data engineers and scientists, drive adoption and value measurement for marketing effectiveness.

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 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.

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 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 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 and manage the enterprise analytics platform and a small team to build data products, pipelines, and advanced analytics (ML/AI). Define data models and governance, oversee cloud migrations and vendor integrations, optimize costs, and align data strategy with business objectives. Supervises four employees.

Manage client-facing data and analytics projects: define data strategy, build automation and ETL, develop visualizations and predictive analytics, drive transformation, manage scope/budget, and communicate findings to non-technical stakeholders while leveraging finance knowledge.

Lead design and maintenance of scalable data models, dbt transformations, and cloud data warehouses. Manage a distributed team of 7–8 data engineers/analysts, ensure data quality, governance, ELT best practices, performance tuning, integrations, and stakeholder alignment across servicing technology.

The Data Science Manager for Process Analytics will define process attributes for validation, support manufacturing and supply with statistical analysis, and train teams in process control methods.

The Manager of Data Governance leads data management standards, collaborates with teams on data governance implementation, and oversees data quality initiatives to enhance business operations.

The Senior Manager will lead B2B analytics efforts, drive data-driven strategies for marketing, optimize revenue growth, and enhance performance through advanced analytics frameworks and collaboration with stakeholders.

The Manager, Data Governance will lead the implementation of data governance strategies to support AI and analytics, ensuring data quality, compliance, and ownership while promoting data literacy across the organization.

The role analyzes large datasets from various platforms to identify trends and inform decisions in artist growth and marketing strategy.

The role requires leadership in enterprise data management, focusing on MDM, governance, data quality, and architecture, ensuring high-quality, trusted data for analytics and operational use, while managing a team and collaborating with stakeholders.

This role involves leading the Data & AI team, building modern data platforms using Microsoft technologies, overseeing project delivery, and mentoring team members while engaging with clients.