Top Senior Analysis Reporting Jobs in Raleigh, NC

Lead the design and implementation of enterprise-scale Knowledge Graphs and Semantic AI solutions, integrating graph intelligence and Generative AI. Manage cross-functional teams in data architecture and governance.

As a Senior Data Engineer, you will implement data ingestion patterns, build pipelines in Azure, and enhance development with AI tools, aiding the migration to a cloud-based architecture.

The Senior Director of Biostatistics will lead the biostatistics team, drive statistical strategies, and ensure high-quality contributions to advance drug development.

Lead the development and implementation of data architecture strategies, mentor a team to deliver solutions, and collaborate with stakeholders to enhance resources while ensuring project success and quality outcomes.

Lead the Citizen Developer Global Center of Excellence, driving adoption and governance of low-code and AI tools across MetLife globally, while building supportive communities and performance tracking systems.

Design and govern Axiom's enterprise unified data model across systems, establish data governance and quality standards, document lineage and ownership, administer Databricks, enable AI data access (MCP), align data architecture roadmap with enterprise applications, and directly manage and mentor the Data Engineer while partnering with Product, Operations, and Data Science.

The SAP Business Analyst will gather requirements, define RTR needs, lead workshops, and support SAP S/4HANA implementation with a focus on the CO module.

The Senior Data Engineer will design and implement data pipelines, optimize performance, ensure data quality, and collaborate with teams for analytics and reporting.

Lead design and implementation of scalable multimodal data pipelines, active learning and labeling loops, training and inference engineering, and model serving/optimization. Focus on data cleaning, OCR/layout normalization, sample construction, observability, and cost-efficient multi-model routing.

Lead analyses of patient-reported outcomes, integrate findings with clinical outcomes, and ensure dataset quality in observational studies.