5 senior product manager aiops jobs found

Location: Anywhere in Country At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Actuarial Senior Manager – Consulting (Healthcare) The Opportunity EY is seeking an Actuarial Senior Manager to join our Healthcare Consulting practice. This role supports multidisciplinary consulting teams by providing actuarial and analytical leadership across complex client engagements involving health plans, managed care organizations, and healthcare‑adjacent entities. In addition to deep actuarial expertise, this role emphasizes technology‑enabled analytics, AI‑supported insights, and external thought leadership, helping clients modernize actuarial, finance, and decision‑support capabilities while addressing regulatory, financial, and operational challenges. Key Responsibilities Actuarial & Analytical...

Job Title Revenue Operations Analyst Job Description About The Position | Major Goals and Objectives and Location Requirements: The Revenue Operations Analyst will focus on maximizing yield, reaching client KPIs, and delivering on digital campaign commitments. They’ll also partner with Sales, Account Strategy, Paid Media, and AdOps to drive the success of advertising campaigns by providing data-driven insights supporting proposal submissions and campaign optimizations. This position is responsible for supporting day-to-day campaign operations, including inventory forecasting, pricing and margin review, product solutions, campaign pacing, key performance indicator optimizations, monthly billing, and post-campaign analysis. This analyst will specialize in the Food/Bev, Home/CPG, and Retail verticals and will help develop best practices that meet these industry’s specific challenges. An ideal candidate is self-motivated and demonstrates excellent analytical and written...

Job Title Revenue Operations Analyst Job Description About The Position | Major Goals and Objectives and Location Requirements: The Revenue Operations Analyst will focus on maximizing yield, reaching client KPIs, and delivering on digital campaign commitments. They’ll also partner with Sales, Account Strategy, Paid Media, and AdOps to drive the success of advertising campaigns by providing data-driven insights supporting proposal submissions and campaign optimizations. This position is responsible for supporting day-to-day campaign operations, including inventory forecasting, pricing and margin review, product solutions, campaign pacing, key performance indicator optimizations, monthly billing, and post-campaign analysis. This analyst will specialize in the Food/Bev, Home/CPG, and Retail verticals and will help develop best practices that meet these industry’s specific challenges. An ideal candidate is self-motivated and demonstrates excellent analytical and written...

Job Description Job Description: Lead AI development from Context Aware Agents, Action Agents to Reasoning Agents, with Multi Agent Orchestration. This will involve strategy and planning through several critical milestones across team of Applied Scientists, Data Engineers and Business Stakeholders. This is a hands on role, requiring coding, testing, delivery and ongoing maintenance and training for solutions in production, as well as fostering business partnership and accountability every step of the way. Lead ML Model Development: Lead the design, development and productionalization of advanced machine learning models for time series and anomaly detection. Responsible for optimizing models to enhance precision, ensuring high performance, accuracy and reliability. Use machine learning, data mining, statistical techniques, and others to create actionable, meaningful, and scalable solutions that drive Cloud Capacity Management and Cost Optimization....

Job Description Job Description: Lead AI development from Context Aware Agents, Action Agents to Reasoning Agents, with Multi Agent Orchestration. This will involve strategy and planning through several critical milestones across team of Applied Scientists, Data Engineers and Business Stakeholders. This is a hands on role, requiring coding, testing, delivery and ongoing maintenance and training for solutions in production, as well as fostering business partnership and accountability every step of the way. Lead ML Model Development: Lead the design, development and productionalization of advanced machine learning models for time series and anomaly detection. Responsible for optimizing models to enhance precision, ensuring high performance, accuracy and reliability. Use machine learning, data mining, statistical techniques, and others to create actionable, meaningful, and scalable solutions that drive Cloud Capacity Management and Cost Optimization....