Top Data Management Jobs in San Luis Obispo, CA

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

The Data Product Manager will manage data life cycle for payer and partner data, ensuring data quality and supporting customer success through effective communication and problem-solving. Responsibilities include handling data requests, attribution management, and data enrichment for healthcare projects.

Zeta Global seeks a Senior Manager, Data Cloud Consulting to provide strategic guidance on paid media and CRM to clients, develop marketing strategies, and manage analytics roadmaps. The ideal candidate will have extensive experience in data-driven strategy consulting and marketing.

The Senior Clinical Data Manager will oversee clinical trial databases, ensuring adherence to timelines, quality of deliverables, and coordination among study teams. Responsibilities include database design, project oversight, training, and resolving data issues.

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

Manage the Sales Data Quality team by developing automated solutions for data validation, overseeing data quality pipelines, and using AI tools for data challenges. Collaborate with various business units to optimize data processes and improve operational strategies.

Lead and expand the Data Loss Prevention program at Coinbase, overseeing implementation of DLP tools, enhancing operational efficiency, and advising leadership on data protection threats.

The Sr. Manager of Data Science and Analytics will oversee a team, guiding efforts in data analysis for payments and compliance, ensuring impactful outputs, and fostering team growth.

Manage a team of data analysts and scientists, focusing on analytics for payments and compliance. Ensure impactful data work and drive business decisions.

Manage a team of data analysts and scientists focused on Circle's payments products and compliance efforts, ensuring data quality, impactful reporting, and cross-functional collaboration.

Manage data analysts and data scientists for payments and compliance. Guide, improve team work, and collaborate with cross-functional partners.

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.

The Data Engineering Manager will architect and optimize marketing analytics systems, oversee data pipeline integrations, and implement attribution methodologies, ensuring precise performance measurement.

Lead a team of data scientists to drive user growth through insights and strategic initiatives, collaborating with cross-functional partners.

The Partner Performance Manager analyzes and optimizes partner performance using data, identifies growth opportunities, and collaborates with stakeholders to enhance partnership strategies.

Lead a team of data analysts, ensuring accurate reporting, data integration, and analytics presentations while collaborating with agency partners.

The Lead Data Engineer will manage data migration efforts, oversee data quality and cleansing, and ensure alignment with Oracle Cloud's supply chain objectives. Responsibilities include developing governance frameworks, collaborating with stakeholders, and leading data management initiatives for successful project execution.

Manage the rollout of Oracle EPRCS, lead transitions from legacy reporting tools, evaluate data integration, ensure data integrity, and oversee system access across Oracle platforms.

The Data Services Manager will oversee data movement and processing, ensuring accurate data for mail files, handling file conversions, data cleansing, and providing analytical reports. The role involves collaborating with clients and teams to troubleshoot and address data-related issues.

The Senior Manager, Data & Analytics will unlock data's potential, develop data pipelines, manage BI content, and influence product decisions while mentoring team members.

Lead stewardship of Pharma R&D data, ensuring data quality and compliance, mentor teams, and collaborate with governance and data product teams for best practices.

The Manager of Data Analytics Engineering will lead a team of engineers, manage data pipelines migration, collaborate with project managers, and mentor staff while fostering growth in a data-driven environment.

The GTM Data Manager oversees data integration, quality assurance, and analysis to support revenue operations and strategic GTM planning.

The Director of Data Services & Analytics oversees ConnectWise's data ecosystem, including advanced analytics and AI/ML initiatives, while aligning data strategy with business goals and building a high-performing team.