Top Data & Analytics Jobs in Raleigh, NC

Lead integration of GIS applications with SAP and OverIT, design GIS architecture using Esri/ArcGIS, manage project planning and delivery, coach teams, build client relationships, convert and integrate GIS data, and ensure technical and professional standards.

Lead enterprise data governance and data quality strategy, operating model, and roadmap. Define policies, standards, controls, and scorecards. Sponsor tools, drive accountability, chair governance forums, partner with Privacy/Security/Risk/Legal, and build culture, training, and stewardship to ensure trusted, compliant, and high-quality data across the organization.

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.

The Senior Analyst in AML KYC will conduct detailed customer onboarding, monitor client relationships for compliance, and update KYC records while utilizing AI tools for efficiency.

Design and maintain data quality frameworks, automate checks, validate data pipelines, and collaborate on Power BI metrics with a focus on AI-driven improvements.

The Senior Data Engineer will transform real-world data into analytics-ready datasets, build scalable pipelines, and conduct analyses to support scientific and business decisions, collaborating closely with data science teams.

Design, build, and maintain BI-ready datasets, dashboards, and monitoring tools for high-throughput lab operations. Implement process monitoring (SPC), ensure data quality and audit readiness, perform root-cause analysis, and partner with Data Science to deploy predictive models that improve throughput, quality, and compliance.

Design and lead scalable data platforms and architectures (cloud and on-prem), build data lakes/warehouses, enable DaaS via REST APIs, mentor engineers, translate business goals into technical solutions, and support governance and integration across stakeholders.

Lead design and delivery of an enterprise-scale data modernization program using Snowflake, DBT, and AWS. Architect batch and real-time ingestion, medallion layers, data modeling, Power BI semantic models, report rationalization, governance, and AI-driven data quality for an insurance client. Act as technical leader and advisor across stakeholders.

Define and lead the technical architecture for a lakehouse on AWS, build production pipelines and data models for time-series and multi-source data, introduce data governance and catalog foundations, author platform playbooks (ADRs, runbooks, Terraform modules), deliver projects end-to-end, and mentor engineers while representing the platform to senior leadership and non-technical stakeholders.