Top Senior Level Data & Analytics Jobs

As a Senior Applied Research Scientist, you will leverage your AI/ML expertise to tackle real-world challenges, develop and implement models, and contribute to the design and scaling of large language models for enterprise use. Collaboration with product owners and other team members is key to delivering impactful solutions.

The AI Steward will oversee the data and development lifecycle related to Generative AI and Machine Learning, ensuring data compliance and governance. Responsibilities include establishing frameworks for AI compliance, collaborating with development teams, and resolving data issues to adhere to regulatory requirements.

As a Staff Technical Lead, you will drive strategic programs for Data Center Operations, collaborating with senior leaders and team members to define strategies and prioritize projects. Your role includes risk assessment, actionable data analysis, optimizing processes, and delivering insights to improve DC Operations. You will organize status meetings and communicate updates to stakeholders.

The Senior Business Operations Analyst will manage daily operations, enforce data compliance, provide reporting assistance, support process refinement, and educate personnel. They will collaborate with various stakeholders to enhance the adoption of Service and Application Portfolio products and improve service delivery processes.

The Senior Manager - Vehicle Data Cloud leads a team to develop secure, reliable, and scalable cloud applications for managing data from millions of vehicles. The role involves hands-on coding and guiding the team in best practices while fostering a high-performance culture. Candidate should possess significant experience in cloud application development and the ability to navigate complex challenges effectively.

The Senior Manager - Vehicle Data Cloud will lead a team to develop secure and scalable applications for managing data collection from millions of vehicles. The role involves hands-on coding, building a functional team, managing on-call support, and mentoring team members to promote a culture of quality and efficiency.

Lead a team to build secure and scalable applications for managing vehicle data collection, while promoting best practices and ensuring high-quality cloud software delivery. Participate in code review, mentorship, and manage the team's on-call support.

As a Senior Data Engineer at Dandy, you will design and maintain data infrastructure, own end-to-end data pipelines, and collaborate with stakeholders to ensure reliable data solutions. You'll mentor junior engineers and continuously improve systems to enhance data-driven decision-making across the organization.

The Senior Clinical Informaticist acts as a liaison between clinical care and IT, optimizing healthcare strategies through data analytics and technology integration. Responsibilities include supporting quality improvement measures, translating clinical hypotheses into analytical requirements, and applying industry best practices in health informatics.

The Director of Data Product Development will lead the design and implementation of data solutions within Cohere Health, focusing on enterprise data management, data quality, and governance. Responsibilities include collaborating with cross-functional teams to develop scalable data architectures, enhancing data usability, and driving the adoption of data-driven decision-making processes.

As a Senior Revenue Operations Analyst, you will oversee sales process planning and optimization, ensuring data accuracy in Salesforce and improving revenue operations. Key responsibilities include opportunity management, data analysis, and reporting, collaborating with sales and IT teams to enhance processes and outcomes.

As the Director of Data Operations, you'll lead the Data Operations team, ensuring the efficiency of data pipelines, analytics platforms, and BI tools. Responsibilities include troubleshooting issues, managing operational requests, monitoring system health, and recruiting high-performing team members. You're expected to partner with leaders in BI and Data Engineering, ensuring smooth operations and knowledge transfer across departments.