
Product Manager II, Analytics
Posted 11 hours ago

Posted 11 hours ago
This is a fully remote position, open to applicants in Arizona, +18 more states.
• Take ownership of analytics features and initiatives from the discovery phase through prioritization, delivery, launch, and subsequent iterations.
• Define user challenges and business objectives by leveraging customer research, feedback, product data, and insights from customer-facing teams.
• Assess opportunities based on customer value, business impact, effort, and related dependencies.
• Convert requirements into detailed product specifications, user stories, and acceptance criteria.
• Collaborate with Product, Engineering, Data Science, UX, subject matter experts, and customer-facing teams to create and implement solutions.
• Explore methods by which analytics and AI can streamline workflows, highlight insights, and facilitate decision-making.
• Maintain a prioritized backlog while communicating progress, decisions, dependencies, and trade-offs effectively.
• Monitor adoption, usability, and impacts on customers or the business; utilize findings to inform enhancements.
• Take into account data quality, privacy, transparency, and user trust while engaging with AI-driven products.
• Over 3 years of experience in product management, technology, analytics, data products, or a related domain.
• Proven track record in contributing to the delivery of digital products, from requirement definition to launch and iteration.
• Knowledge of analytics, data products, or AI-enabled solutions and their potential to meet user needs.
• Capability to translate intricate data or technical concepts into straightforward product requirements and customer value.
• Excellent communication, collaboration, and problem-solving skills.
• Proficiency in managing priorities and dependencies within an agile framework.
• Experience in healthcare, education, healthcare education, or enterprise software is a plus.
• Annual incentive bonus.
• Country-specific benefits.
• Support for accommodation or adjustments during the hiring process.
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