Top Artificial Intelligence Data & Analytics Jobs

The VP, Analytics leads the analytic strategy and delivery across client engagements, focusing on data management, performance optimization, and hands-on contribution to advanced measurement. This role influences decision-making and ensures analytics ties to meaningful business outcomes, while mentoring a high-performing analytics team and collaborating cross-functionally.

As a Senior Data Engineer, you will design ETLs for large customer datasets, improve integration tools, and mentor other engineers, impacting customer onboarding and data accuracy.

Responsible for compliance with SOX IT controls, managing relationships between IT, Finance, and auditors, and improving control efficiency. Duties include documentation, communication, and mentoring.

The Product Analyst will design experiments, analyze user behavior, and communicate insights to drive engagement and retention decisions effectively.

Design and optimize data pipelines for web scraping and processing data. Collaborate with ML engineers and develop APIs while preparing data for analysis.

The Strategic Business Analyst leads complex data analyses, develops business plans, conducts market research, and collaborates with teams to optimize business performance and strategies.

As Data Partnerships Lead, you'll manage the end-to-end process of data procurement for AI model training, coordinating with multiple teams to secure data and oversee quality.

Lead product analytics, metric governance, and the semantic layer. Build recurring reporting and dashboards, ensure data quality and instrumentation, diagnose performance shifts, support experimentation and segmentation, and translate insights into product and business decisions while scaling an analytics function.

Lead AI strategy creation, identify workflow inefficiencies, manage change, and engage stakeholders to implement AI solutions for clients.

The Data Architect/Data Modeler is responsible for data architecture, data quality management, data governance, and data integration, as well as leading tasks associated with data design and analytics.