Quest Analytics, LLC

Product Manager

• Own the vision, strategy, roadmap, and execution for products and capabilities within Quest Analytics’ regulatory portfolio
• Identify opportunities to expand within the health plan regulatory market through customer discovery, market research, user feedback, and exploration of underserved needs
• Take new products and capabilities from discovery and business case through development, launch, adoption, and optimization
• Develop and defend business cases for new product investments
• Develop a deep understanding of regulator customers, users, workflows, and evolving market needs
• Define and monitor success measures tied to customer value, product adoption, revenue growth, and satisfaction
• Translate complex healthcare, regulatory, customer, and business needs into clear product and operating requirements
• Prioritize the product backlog based on strategic value, customer impact, business opportunity, and technical feasibility
• Partner with Engineering throughout discovery and delivery to make tradeoffs and build scalable, performant solutions
• Use customer insights, product data, market intelligence, and large complex datasets to guide product decisions
• Navigate ambiguity, competing priorities, and complex stakeholder needs while maintaining momentum
• Champion AI-enabled product development practices
• Use AI/LLM tools such as Claude, ChatGPT, Gemini, and emerging technologies for research, ideation, requirements development, prototyping, validation, backlog refinement, and documentation
• Identify opportunities to automate or accelerate research, testing, reporting, and product workflows
• Experiment with AI across the product lifecycle while maintaining data integrity, security, and compliance standards
• Share learnings and help the Product organization develop its AI capabilities
• Partner with Engineering, Client Success, Sales, Product Marketing, Analytics, and other stakeholders
• Build alignment across teams and influence decisions without direct authority
• Partner with go-to-market teams on positioning, launch strategy, sales enablement, and product adoption
• Communicate product strategy, decisions, progress, risks, and results to technical teams and executive leadership
• Mentor and support other Product Managers

Senior Product Manager – Regulatory

General

• Participate in the Summer 2027 Technology Internship Program across Software Engineering, Data Engineering, and Data Science
• Software Engineering: help plan, design, develop, test, and deploy features and applications
• Write quality code, troubleshoot issues, and improve existing products and functionality
• Use AI-assisted development tools such as Claude Code for coding, debugging, testing, documentation, and development workflows
• Data Engineering: build, maintain, and improve data infrastructure
• Work with large, complex datasets
• Develop and optimize data ingestion pipelines
• Automate data processes and monitor and troubleshoot data workflows
• Data Science: apply statistics, machine learning, and AI to healthcare data and real-world business problems
• Support data exploration, model development and evaluation, experimentation, and communication of analytical findings
• Explore generative AI, LLMs, and AI-assisted development tools
• Align to a team and project based on skills, interests, academic background, and business needs
• Collaborate with experienced professionals on products, data solutions, and business outcomes

Analytics Intern

Data Scientist

• Design, develop, optimize, and scale machine learning models and advanced analytics solutions for provider data quality and network insights
• Apply statistical modeling, predictive analytics, and machine learning techniques to solve business problems
• Research healthcare and provider-data challenges, form hypotheses, and develop analytical approaches
• Develop novel algorithms for complex problems
• Evaluate and improve model accuracy, performance, scalability, reliability, and business impact
• Perform large-scale data processing and analysis using Python, SQL, Databricks, Spark, and distributed computing
• Develop and maintain automated systems for anomaly detection, data validation, feature engineering, and continuous model monitoring
• Design feature engineering strategies and evaluate model performance
• Evaluate and integrate third-party data sources, tools, and vendors
• Partner with Engineering to productionize models and build scalable software solutions
• Apply LLM tools such as Claude and explore generative AI, NLP, and AI agents
• Develop metrics for model performance, data quality, and business impact
• Translate complex findings into actionable insights
• Present findings and recommendations to leadership and company audiences
• Partner with Product and business teams on features, metrics, and data-driven solutions
• Mentor data scientists and analysts; contribute to technical standards, data governance, and MLOps best practices
• Participate in cross-functional initiatives and client-facing analytics discussions

Senior Product Manager – Regulatory

Analytics Intern

Senior Data Scientist