Top Senior Data Management Jobs

The Manager, Data Management leads initiatives to structure Conagra's data ecosystem, focusing on data enablement, process design, and cross-functional collaboration to improve data usability and governance.

The CX Data & Insights Manager leads programs focused on customer and partner insights, translating feedback into actionable recommendations. They manage research initiatives, feedback channels, and engage with cross-functional teams to enhance customer experience and satisfaction across the organization.

The Manager of Data Engineering will lead the data engineering team, oversee data pipeline design and implementation, manage data governance, and ensure data quality while driving team professional growth.

The Data Engineering Associate Manager will lead data architecture solutions, develop data pipelines, utilize big data platforms, and manage teams effectively for client projects.

Lead enterprise data strategy, governance, and analytics for Honeywell Aerospace, ensuring compliant and scalable analytics capabilities across various platforms.

The Data Engineering Manager will design and maintain data pipelines, focusing on Snowflake, ensuring reliable data flow, and collaborate with teams for optimal data usage.

The Digital Data Engineering Manager leads a team in building marketing data infrastructure and manages data strategy, governance, and analytics, ensuring quality and compliance.

The Analytics Manager will lead the analytics team, optimize data processes, manage KPIs, and create data visualizations to influence business decisions.

The Data Manager will execute analytics, manage data sourcing and dashboards, streamline reporting, and provide insights for business improvement and performance measurement.

Lead and manage a data engineering team to design, build, and optimize scalable ETL/ELT pipelines, migrate legacy systems to cloud-native platforms, enforce data quality and security, define SLAs, and support analytics and operational data needs within a regulated banking environment.

The Manager, Data Analytics will lead analytical initiatives to optimize ecommerce performance, mentor team members, and drive data-driven insights for business growth.

Manage and develop a team of Data Analysts, oversee analytics deliverables, partner with cross-functional teams to deliver insights, and implement BI tools.

Lead a team of Data Scientists and Analysts, developing AI and data-driven solutions, driving analytics insights, and fostering collaboration across teams.

Partner with stakeholders to design, build, and deliver analytical projects, dashboards, data pipelines, and visualizations. Write queries and workflows, own projects end-to-end, and improve automation and delivery across global teams.

Lead and deliver data-driven commercial analytics projects for life sciences clients, design/implement data platform and ETL solutions, analyze data and present insights, manage client relationships and project teams, mentor junior staff, and contribute to business development and internal data warehouse initiatives.

Lead data platform strategy and architecture, scale Spark-based ETL/ELT pipelines, improve reliability and cost efficiency in an AWS environment, strengthen governance and lineage, modernize ingestion (Fivetran), and mentor engineers while delivering production-grade data solutions for analytics and AI.

Manage and mentor a team of data scientists and engineers, guide development and delivery of ML/AI solutions, ensure best practices, collaborate with stakeholders, and align data science work with business objectives.

Lead and grow the Product Analytics Engineering team to build scalable data pipelines, models, and marts. Partner with Product, Data Science, and Engineering to deliver reliable product metrics, SLAs, and self-serve analytics, while mentoring engineers and setting technical strategy for product data foundations.

Lead development of provider data products and ML-based decision support, manage provider data quality, collaborate across teams to build provider-facing analytics, and establish MLOps standards and governance.

Manage a team of ~7 data scientists to deliver experimental design, product analytics, and actionable insights. Partner with product, engineering, and research to build measurement, data products, and reporting; ensure data accuracy, timely delivery, and best practices.

Lead a team of ~7 data scientists to deliver accurate product analytics and experimentation insights. Manage people, mentor staff, partner with product and engineering to build accessible data products, and improve measurement, reporting, and experiment practices to inform product decisions.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics and experimentation insights. Manage people, partner with product and engineering, improve measurement and data products, and ensure rigorous large-scale analysis to inform product decisions.

Lead a Product Analytics data science team to deliver timely, accurate insights for product decisions. Manage ~7 data scientists, mentor teammates, partner with product and engineering, develop experimentation and measurement best practices, and build accessible data products and reports.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics and experiments; support product teams, build accessible data products, mentor staff, and improve measurement and reporting practices.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics: guide experimentation, partner with product and engineering, build accessible data products, mentor staff, and improve measurement and reporting practices to inform product decisions.