VP, Product and Analytics

Posted 5 days agoViewed

💎 Seniority level: Vp, 10+ years

📍 Location: United States

💸 Salary: 200000.0 - 225000.0 USD per year

🔍 Industry: Health technology

🏢 Company: Lirio👥 51-100💰 $3,000,000 Debt Financing over 2 years agoArtificial Intelligence (AI)Machine Learning Information Technology Health Care

🗣️ Languages: English

⏳ Experience: 10+ years

🪄 Skills: AWSLeadershipSQLAgileBusiness IntelligenceData AnalysisMachine LearningPeople ManagementProduct ManagementProduct OperationsCross-functional Team LeadershipProduct DevelopmentStrategyProduct AnalyticsData scienceStrategic ManagementCommunication SkillsAgile methodologiesRESTful APIsPresentation skillsSales experienceMarket ResearchData visualizationTeam managementStakeholder managementFinancial analysisData modelingData managementCustomer SuccessBudget managementA/B testing

Requirements:

10+ years experience working in a product management role in health technology.
5+ years experience working an a technical analysis or data science role.
Track record of commercially successful product launches, preferably in an enterprise software product management role.
Experience translating customer needs into product features and user interface designs.
Strong communication skills, with ability to take complex ideas and communicate them effectively internally and externally.
Experience presenting to large audiences (20+ individuals to include customers and senior level executives).

Responsibilities:

Lead and mentor a team of product managers, data scientists/analysts, and design professionals.
Monitor the work assignments and progress of the team and ensure accountability across both roles and tasks.
Develop and execute product strategies that align with business objectives and market needs.
Define and communicate the product vision and roadmap to all stakeholders
Collaborate with executives, squad leaders, and members of the Lirio Factory to determine technical design, align resources, prioritize product roadmap, and deliver product features.
Develop and implement a comprehensive analytics strategy to measure product performance and user behavior.
Collaborate with other departments, including the technology team, growth, behavioral science, and AI, to ensure product success.

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