Top Remote Artificial Intelligence Data & Analytics Jobs

The Senior Manager, Head of Data Governance will establish a comprehensive data governance framework, ensuring data quality, integrity, and compliance across the organization. Responsibilities include building data governance models, defining standards, overseeing data quality metrics, and supporting AI initiatives.

The AI-Enabled Compliance Reviewer will conduct compliance reviews for clients, utilizing Norm Ai’s compliance platform and collaborating with Legal Engineers to translate regulatory requirements into automated workflows, supporting regulatory examinations and compliance advisory engagements.

As a Business Analyst in Partnerships, you will build analytics infrastructure, identify data issues, and conduct market research to guide strategic decisions.

The Data Architect will design business data models, define data architecture frameworks, mentor teams, and enhance data governance across AI and data initiatives.

As a Data Engineer at LiveKit, you will manage the analytics infrastructure, develop scalable GCP-based data pipelines, and ensure effective data movement and transformation processes, while collaborating with the Analytics and engineering teams.

Support AI and analytics initiatives through data wrangling, exploratory data analysis, and generative AI tools to enhance IT processes.

The Business Intelligence Developer Senior Specialist will develop and optimize BI applications, ensuring data accuracy and integration with various platforms while collaborating with team members and stakeholders to deliver actionable insights.

The Salesforce Administrator will support Sales Operations, Marketing, and Finance by troubleshooting Salesforce issues, collaborating on projects, and managing data within the Salesforce platform.

Lead the development and validation of TRAM, an AI-driven tax engine. Oversee tax-related processes, collaborate with teams, and ensure accuracy in automated tax compliance.

Design, build, and scale data pipelines and integrations for the TDX platform. Implement REST API integrations, ingest and unify customer data, optimize pipelines for performance and quality, ensure data security and governance, and collaborate with Product, Data Science, and customer teams to deliver reliable analytics-ready data.