Top Data Management Jobs in Pittsburgh, PA

The Data Systems Manager will oversee data architecture, implement MDM strategies, ensure data quality, and drive governance initiatives to support business intelligence.

Lead and mentor a team of data analysts, drive data analytics strategy, ensure data quality and governance, and deliver actionable insights across business functions.

The Data Manager will support partners by addressing data needs, managing issues, and implementing best practices for effective data use in civic engagement campaigns.

Lead and manage data analysis projects at Pfizer, utilizing strong communication and analytical skills to improve processes and guide operational teams.

Manage and implement a comprehensive data governance framework, collaborating with various teams to enhance data integration, quality, and compliance across the organization.

Responsible for leading a team in advanced data analytics, creating automated reports, and providing insights to senior leaders, while ensuring data accuracy and documentation.

The Data Analytics Manager for Travel optimizes corporate travel operations by analyzing data, improving compliance, forecasting budgets, and developing performance reports with actionable insights.

The Data Manager 2 oversees the data lifecycle, supports analytical processes, collaborates with Medicaid IT, and enhances data understanding for equitable health outcomes.

Manage environmental data from various sources, ensuring compliance and data integrity while performing ETL operations and supporting environmental investigation contracts.

Lead a data science team to develop insights from autonomous vehicle data, create scalable platforms for data access, and collaborate with cross-functional teams on performance measures.

Oversee the enterprise data hub, manage data governance strategies, implement best practices for data modeling, deliver GTM-ready data, and lead a team of data engineers to leverage AI and advanced analytics for business impact.

The Fundraising Data Manager will manage data processing for clients, develop custom SQL scripts, create reports, and manage client CRM.

Lead a data science team to enhance Netflix's streaming product through analytics and experimentation, partnering with engineering.

Lead a data science team to drive consumer acquisition strategies and improve Netflix's signup processes through analytics, experimentation, and machine learning.

The Sr. Data Engineering Manager leads data management strategy focusing on AWS solutions, ensuring data governance and quality across various domains while managing a team.

The Manager of Data Science leads a team in developing data products and analytics solutions, improving business decision-making and data integrity.

Manage data governance and Master Data Management, ensuring data quality and oversight. Collaborate with stakeholders and IT on data architecture and strategy.

The FP&A Manager will lead budgeting, forecasting, and implement AI-driven automation to enhance finance processes in a retail environment.

This role involves leading data projects, managing analytics, delivering insights, and mentoring team members while collaborating on data strategies for clients.

The Senior Data Manager will design, configure, and launch clinical trials on Citrus while managing data quality and collaborating with product teams and stakeholders.

As a Data Manager, you will oversee data management for clinical trials, ensuring quality outcomes, designing data capture tools, and collaborating on product development.

Manage marketing data systems, track pipeline and revenue analytics, ensure data quality, and provide proactive insights. Collaborate with cross-functional teams to align on metrics and reporting.

The Senior Manager, Data Analytics leads a team of Data Product Managers to deliver insights, AI initiatives, and analytics solutions to support business growth across various departments.

The Manager, Data Platform will oversee data projects, collaborate with stakeholders to define data needs, manage product support, and enhance data processes.

Lead AI and data initiatives to enhance marketing capabilities and drive growth. Collaborate across teams to optimize data usage for better performance and decision-making.