A Place for MomRemote
Senior Product Manager, Data Products
United States
Full-time
5 days ago
$140,000 - $175,000 USD
H1B Sponsor Likely
Key skills
Data Product ManagementSQLData ModelingKPI DefinitionCommunication SkillsAIData EngineeringAnalyticsLeadershipProduct ManagementCommunicationCollaboration
About this role
A Place for Mom is seeking a Senior Product Manager, Data Products to help build the future of their senior care data ecosystem. The role involves overseeing the evolution of data capabilities, collaborating with stakeholders to develop curated datasets, and promoting self-service data tools to unlock new sources of value for clients and customers.
Responsibilities:
- Articulation of the vision and practical execution plan for a robust and easy-to-use semantic layer to serve as the underpinning of company-wide analytics
- Collaboration with stakeholders to scope and develop net-new curated datasets optimized for key internal use cases (e.g. forecasting, user profiles, targeted outreach, etc.)
- Providing clear, well-scoped requirements to data engineering and platform teams to enable timely delivery of updated functionality
- Partnership with analysts and MLEs to identify opportunities to optimize data organization for cost-effectiveness, accuracy, and time-to-insight
- Evangelization of self-service data tools - including AI-powered solutions - to a variety of technical and non-technical stakeholders
- Proactive communication to senior leadership of progress and identified value-add of data investments
- Work with business unit teams to identify, evaluate, and productize data monetization opportunities
Requirements:
- Bachelor's degree (Master's preferred) in quantitative/statistics-intensive field such as Statistics, Economics, Mathematics, or Computer Science
- 5+ years of experience in platform product management, with preference for candidates with past data product roles and/or prior background as a data scientist or data engineer
- Demonstrated track record of taking products from ideation through successful implementation (especially internal tools or data-intensive B2B solutions)
- Expertise with SQL and data modeling strongly preferred
- Aptitude for defining relevant, actionable KPIs for assessing the health and utility of foundational/infrastructure products
- Excellence in communicating technical information and quantitative insights to leadership audiences
- Comfort operating in high-pace environment and with evangelizing new processes to stakeholders of varying technical skill levels