Senior Manager, Sales Technology Strategy & Relationship Management Together We Innovate. Together We Change. Want to play a key role in driving digital transformation across enterprise operations for a Fortune 500 company where you will solve
Together We Innovate. Together We Change. Want to play a critical role in accelerating the organizations AI strategy by strengthening the enterprise data foundation? Have three years of experience in data analytics, data governance, data engineering, or
Company Federal Reserve Bank of Richmond When you join the Federal Reserve—the nations central bank—you’ll play a key role, collaborating with a dynamic and diverse team of mission-driven professionals to strengthen and protect our economy and
Essential Duties and Responsibilities: - Design and build customer experience and conversational AI solutions, including dialog flows, API integrations and AI agent orchestrations. - Develop and maintain technical integrations between solutions and Maximus technologies such as CRM, ITSM,
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the
Together We Innovate. Together We Change. Want to play a key role in driving digital transformation across enterprise operations for a Fortune 500 company where you will solve real problems at the intersection of tech and
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side