Senior Data Product Manager

Posted 2024-10-20

💎 Seniority level: Senior, 7+ years

📍 Location: AZ, CA, CO, CT, FL, GA, IL, LA, MA, MN, NC, NJ, NV, NY, OH, PA, SC, TN, TX, UT, VA, WA, Washington D.C.

💸 Salary: 152000 - 190000 USD per year

🔍 Industry: Digital health

🏢 Company: Verana Health

⏳ Experience: 7+ years

🪄 Skills: Software DevelopmentProduct ManagementProduct DevelopmentStrategyCommunication Skills

7+ years of product management experience in a regulated environment, focusing on healthcare data products.
Experience in product development and user research methodology for complex enterprise web applications.
Strong communication skills and stakeholder management abilities.
Understanding of release management, mitigation of change impacts, and evaluation of build, buy, partner decisions.
Experience with complex internal and external priorities and remote engineering teams.

You will support the product strategy and roadmap for data as a service offerings.
Establish requirements and success criteria for specific data modules and seek approval from stakeholders.
Collaborate with quantitative sciences and engineering teams for timely delivery of products.
Ensure data products focus on customer-facing business value and achieve consensus among stakeholders including Clinical and Engineering teams.

Posted 2024-11-16

📍 US, Canada, British Columbia, Ontario, Alberta

🧭 Full-Time

💸 150000 - 210000 USD per year

🔍 Commercial insurance

🏢 Company: Embroker

Bachelor's degree in Computer Science or related degree, or equivalent combination of education and experience.
7+ years of enterprise software product management experience.
3+ years experience in successfully translating complex business requirements into production-ready AI/ML solutions.
Expertise in data product development and AI/ML technologies with a proven track record.
Experience in delivering products involving NLP and Data Modeling.
Knowledge of commercial insurance preferred but with an attitude to learn.
Experience with PAS and digital insurance products is a plus.
Strong understanding of AI/ML concepts and evaluation metrics.
Ability to adapt quickly to changes in workflow and excellent written communication skills.
Experience in Agile methodology and ability to work cross-culturally.

Lead the end-to-end development of AI features, including defining use cases and overseeing integration into the product.
Drive the development of data products that enhance decision-making processes and optimize claims processing.
Orchestrate the entire product development lifecycle from ideation to launch and post-launch optimization.
Translate complex data science concepts into actionable product requirements addressing industry challenges.
Collaborate with stakeholders to gather requirements and prioritize based on market trends.
Work with UX/UI designers to create intuitive interfaces for data visualization and AI features.
Utilize analytics to inform decisions on platform features and monitor KPIs for improvement.
Identify risks and implement mitigation strategies while staying informed on industry trends and opportunities.

AgileMachine LearningProduct ManagementProduct DevelopmentStrategyData scienceCommunication SkillsCollaborationWritten communicationCompliance

Posted 2024-11-16

🔧 Requirements